-
Notifications
You must be signed in to change notification settings - Fork 22
/
model_reweight.prototxt
1614 lines (1151 loc) · 98.3 KB
/
model_reweight.prototxt
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
104
105
106
107
108
109
110
111
112
113
114
115
116
117
118
119
120
121
122
123
124
125
126
127
128
129
130
131
132
133
134
135
136
137
138
139
140
141
142
143
144
145
146
147
148
149
150
151
152
153
154
155
156
157
158
159
160
161
162
163
164
165
166
167
168
169
170
171
172
173
174
175
176
177
178
179
180
181
182
183
184
185
186
187
188
189
190
191
192
193
194
195
196
197
198
199
200
201
202
203
204
205
206
207
208
209
210
211
212
213
214
215
216
217
218
219
220
221
222
223
224
225
226
227
228
229
230
231
232
233
234
235
236
237
238
239
240
241
242
243
244
245
246
247
248
249
250
251
252
253
254
255
256
257
258
259
260
261
262
263
264
265
266
267
268
269
270
271
272
273
274
275
276
277
278
279
280
281
282
283
284
285
286
287
288
289
290
291
292
293
294
295
296
297
298
299
300
301
302
303
304
305
306
307
308
309
310
311
312
313
314
315
316
317
318
319
320
321
322
323
324
325
326
327
328
329
330
331
332
333
334
335
336
337
338
339
340
341
342
343
344
345
346
347
348
349
350
351
352
353
354
355
356
357
358
359
360
361
362
363
364
365
366
367
368
369
370
371
372
373
374
375
376
377
378
379
380
381
382
383
384
385
386
387
388
389
390
391
392
393
394
395
396
397
398
399
400
401
402
403
404
405
406
407
408
409
410
411
412
413
414
415
416
417
418
419
420
421
422
423
424
425
426
427
428
429
430
431
432
433
434
435
436
437
438
439
440
441
442
443
444
445
446
447
448
449
450
451
452
453
454
455
456
457
458
459
460
461
462
463
464
465
466
467
468
469
470
471
472
473
474
475
476
477
478
479
480
481
482
483
484
485
486
487
488
489
490
491
492
493
494
495
496
497
498
499
500
501
502
503
504
505
506
507
508
509
510
511
512
513
514
515
516
517
518
519
520
521
522
523
524
525
526
527
528
529
530
531
532
533
534
535
536
537
538
539
540
541
542
543
544
545
546
547
548
549
550
551
552
553
554
555
556
557
558
559
560
561
562
563
564
565
566
567
568
569
570
571
572
573
574
575
576
577
578
579
580
581
582
583
584
585
586
587
588
589
590
591
592
593
594
595
596
597
598
599
600
601
602
603
604
605
606
607
608
609
610
611
612
613
614
615
616
617
618
619
620
621
622
623
624
625
626
627
628
629
630
631
632
633
634
635
636
637
638
639
640
641
642
643
644
645
646
647
648
649
650
651
652
653
654
655
656
657
658
659
660
661
662
663
664
665
666
667
668
669
670
671
672
673
674
675
676
677
678
679
680
681
682
683
684
685
686
687
688
689
690
691
692
693
694
695
696
697
698
699
700
701
702
703
704
705
706
707
708
709
710
711
712
713
714
715
716
717
718
719
720
721
722
723
724
725
726
727
728
729
730
731
732
733
734
735
736
737
738
739
740
741
742
743
744
745
746
747
748
749
750
751
752
753
754
755
756
757
758
759
760
761
762
763
764
765
766
767
768
769
770
771
772
773
774
775
776
777
778
779
780
781
782
783
784
785
786
787
788
789
790
791
792
793
794
795
796
797
798
799
800
801
802
803
804
805
806
807
808
809
810
811
812
813
814
815
816
817
818
819
820
821
822
823
824
825
826
827
828
829
830
831
832
833
834
835
836
837
838
839
840
841
842
843
844
845
846
847
848
849
850
851
852
853
854
855
856
857
858
859
860
861
862
863
864
865
866
867
868
869
870
871
872
873
874
875
876
877
878
879
880
881
882
883
884
885
886
887
888
889
890
891
892
893
894
895
896
897
898
899
900
901
902
903
904
905
906
907
908
909
910
911
912
913
914
915
916
917
918
919
920
921
922
923
924
925
926
927
928
929
930
931
932
933
934
935
936
937
938
939
940
941
942
943
944
945
946
947
948
949
950
951
952
953
954
955
956
957
958
959
960
961
962
963
964
965
966
967
968
969
970
971
972
973
974
975
976
977
978
979
980
981
982
983
984
985
986
987
988
989
990
991
992
993
994
995
996
997
998
999
1000
name: "CASENet with reweighted sigmoid cross-entropy loss"
###################### Data Label Input Block #####################
input: "data"
input_dim: 1
input_dim: 3
input_dim: 400
input_dim: 400
input: "label"
input_dim: 1
input_dim: 1
input_dim: 400
input_dim: 400
###################### Convolution Block 1 #####################
layer { bottom: "data" top: "conv1" name: "conv1" type: "Convolution"
convolution_param { num_output: 64 kernel_size: 7 pad: 3 stride: 1 bias_term: false }
param { name: "conv1_0" lr_mult: 1 decay_mult: 1 } }
layer { bottom: "conv1" top: "conv1" name: "bn_conv1" type: "BatchNorm"
batch_norm_param { use_global_stats: true }
param { name: "bn_conv1_0" lr_mult: 0 } param { name: "bn_conv1_1" lr_mult: 0 } param { name: "bn_conv1_2" lr_mult: 0 } }
layer { bottom: "conv1" top: "conv1" name: "scale_conv1" type: "Scale"
scale_param { bias_term: true }
param { name: "scale_conv1_0" lr_mult: 0 } param { name: "scale_conv1_1" lr_mult: 0 } }
layer { bottom: "conv1" top: "conv1" name: "conv1_relu" type: "ReLU"}
###################### Convolution Block 2 #####################
layer { bottom: "conv1" top: "pool1" name: "pool1" type: "Pooling"
pooling_param { kernel_size: 3 stride: 2 pad: 0 pool: MAX } }
layer { bottom: "pool1" top: "res2a_branch1" name: "res2a_branch1" type: "Convolution"
param { name: "res2a_branch1_0" lr_mult: 1 decay_mult: 1 }
convolution_param { num_output: 256 kernel_size: 1 pad: 0 stride: 1 bias_term: false } }
layer { bottom: "res2a_branch1" top: "res2a_branch1" name: "bn2a_branch1" type: "BatchNorm"
batch_norm_param { use_global_stats: true } param { name: "bn2a_branch1_0" lr_mult: 0 }
param { name: "bn2a_branch1_1" lr_mult: 0 } param { name: "bn2a_branch1_2" lr_mult: 0 } }
layer { bottom: "res2a_branch1" top: "res2a_branch1" name: "scale2a_branch1" type: "Scale"
scale_param { bias_term: true }
param { name: "scale2a_branch1_0" lr_mult: 0 } param { name: "scale2a_branch1_1" lr_mult: 0 } }
layer { bottom: "pool1" top: "res2a_branch2a" name: "res2a_branch2a" type: "Convolution"
convolution_param { num_output: 64 kernel_size: 1 pad: 0 stride: 1 bias_term: false }
param { name: "res2a_branch2a_0" lr_mult: 1 decay_mult: 1 } }
layer { bottom: "res2a_branch2a" top: "res2a_branch2a" name: "bn2a_branch2a" type: "BatchNorm"
batch_norm_param { use_global_stats: true }
param { name: "bn2a_branch2a_0" lr_mult: 0 } param {name: "bn2a_branch2a_1" lr_mult: 0 } param { name: "bn2a_branch2a_2" lr_mult: 0 } }
layer { bottom: "res2a_branch2a" top: "res2a_branch2a" name: "scale2a_branch2a" type: "Scale"
scale_param { bias_term: true }
param { name: "scale2a_branch2a_0" lr_mult: 0 } param { name: "scale2a_branch2a_1" lr_mult: 0 } }
layer { bottom: "res2a_branch2a" top: "res2a_branch2a" name: "res2a_branch2a_relu" type: "ReLU" }
layer { bottom: "res2a_branch2a" top: "res2a_branch2b" name: "res2a_branch2b" type: "Convolution"
convolution_param { num_output: 64 kernel_size: 3 pad: 2 dilation: 2 stride: 1 bias_term: false }
param { name: "res2a_branch2b_0" lr_mult: 1 decay_mult: 1 } }
layer { bottom: "res2a_branch2b" top: "res2a_branch2b" name: "bn2a_branch2b" type: "BatchNorm"
batch_norm_param { use_global_stats: true }
param { name: "bn2a_branch2b_0" lr_mult: 0 } param { name: "bn2a_branch2b_1" lr_mult: 0 } param { name: "bn2a_branch2b_2" lr_mult: 0 } }
layer { bottom: "res2a_branch2b" top: "res2a_branch2b" name: "scale2a_branch2b" type: "Scale"
scale_param { bias_term: true }
param { name: "scale2a_branch2b_0" lr_mult: 0 } param { name: "scale2a_branch2b_1" lr_mult: 0 } }
layer { bottom: "res2a_branch2b" top: "res2a_branch2b" name: "res2a_branch2b_relu" type: "ReLU" }
layer { bottom: "res2a_branch2b" top: "res2a_branch2c" name: "res2a_branch2c" type: "Convolution"
convolution_param { num_output: 256 kernel_size: 1 pad: 0 stride: 1 bias_term: false }
param { name: "res2a_branch2c_0" lr_mult: 1 decay_mult: 1 } }
layer { bottom: "res2a_branch2c" top: "res2a_branch2c" name: "bn2a_branch2c" type: "BatchNorm"
batch_norm_param { use_global_stats: true }
param { name: "bn2a_branch2c_0" lr_mult: 0 } param { name: "bn2a_branch2c_1" lr_mult: 0 } param { name: "bn2a_branch2c_2" lr_mult: 0 } }
layer { bottom: "res2a_branch2c" top: "res2a_branch2c" name: "scale2a_branch2c" type: "Scale"
scale_param { bias_term: true }
param { name: "scale2a_branch2c_0" lr_mult: 0 } param { name: "scale2a_branch2c_1" lr_mult: 0 } }
layer { bottom: "res2a_branch1" bottom: "res2a_branch2c" top: "res2a" name: "res2a" type: "Eltwise" }
layer { bottom: "res2a" top: "res2a" name: "res2a_relu" type: "ReLU" }
layer { bottom: "res2a" top: "res2b_branch2a" name: "res2b_branch2a" type: "Convolution"
convolution_param { num_output: 64 kernel_size: 1 pad: 0 stride: 1 bias_term: false }
param { name: "res2b_branch2a_0" lr_mult: 1 decay_mult: 1 } }
layer { bottom: "res2b_branch2a" top: "res2b_branch2a" name: "bn2b_branch2a" type: "BatchNorm"
batch_norm_param { use_global_stats: true }
param { name: "bn2b_branch2a_0" lr_mult: 0 } param { name: "bn2b_branch2a_1" lr_mult: 0 } param { name: "bn2b_branch2a_2" lr_mult: 0 } }
layer { bottom: "res2b_branch2a" top: "res2b_branch2a" name: "scale2b_branch2a" type: "Scale"
scale_param { bias_term: true } param { name: "scale2b_branch2a_0" lr_mult: 0 } param { name: "scale2b_branch2a_1" lr_mult: 0 } }
layer { bottom: "res2b_branch2a" top: "res2b_branch2a" name: "res2b_branch2a_relu" type: "ReLU" }
layer { bottom: "res2b_branch2a" top: "res2b_branch2b" name: "res2b_branch2b" type: "Convolution"
convolution_param { num_output: 64 kernel_size: 3 pad: 2 dilation: 2 stride: 1 bias_term: false }
param { name: "res2b_branch2b_0" lr_mult: 1 decay_mult: 1 } }
layer { bottom: "res2b_branch2b" top: "res2b_branch2b" name: "bn2b_branch2b" type: "BatchNorm"
batch_norm_param { use_global_stats: true }
param { name: "bn2b_branch2b_0" lr_mult: 0 } param { name: "bn2b_branch2b_1" lr_mult: 0 } param { name: "bn2b_branch2b_2" lr_mult: 0 } }
layer { bottom: "res2b_branch2b" top: "res2b_branch2b" name: "scale2b_branch2b" type: "Scale"
scale_param { bias_term: true }
param { name: "scale2b_branch2b_0" lr_mult: 0 } param { name: "scale2b_branch2b_1" lr_mult: 0 } }
layer { bottom: "res2b_branch2b" top: "res2b_branch2b" name: "res2b_branch2b_relu" type: "ReLU" }
layer { bottom: "res2b_branch2b" top: "res2b_branch2c" name: "res2b_branch2c" type: "Convolution"
convolution_param { num_output: 256 kernel_size: 1 pad: 0 stride: 1 bias_term: false }
param { name: "res2b_branch2c_0" lr_mult: 1 decay_mult: 1 } }
layer { bottom: "res2b_branch2c" top: "res2b_branch2c" name: "bn2b_branch2c" type: "BatchNorm"
batch_norm_param { use_global_stats: true }
param { name: "bn2b_branch2c_0" lr_mult: 0 } param { name: "bn2b_branch2c_1" lr_mult: 0 } param { name: "bn2b_branch2c_2" lr_mult: 0 } }
layer { bottom: "res2b_branch2c" top: "res2b_branch2c" name: "scale2b_branch2c" type: "Scale"
scale_param { bias_term: true }
param { name: "scale2b_branch2c_0" lr_mult: 0 } param { name: "scale2b_branch2c_1" lr_mult: 0 } }
layer { bottom: "res2a" bottom: "res2b_branch2c" top: "res2b" name: "res2b" type: "Eltwise" }
layer { bottom: "res2b" top: "res2b" name: "res2b_relu" type: "ReLU" }
layer { bottom: "res2b" top: "res2c_branch2a" name: "res2c_branch2a" type: "Convolution"
convolution_param { num_output: 64 kernel_size: 1 pad: 0 stride: 1 bias_term: false }
param { name: "res2c_branch2a_0" lr_mult: 1 decay_mult: 1 } }
layer { bottom: "res2c_branch2a" top: "res2c_branch2a" name: "bn2c_branch2a" type: "BatchNorm"
batch_norm_param { use_global_stats: true }
param { name: "bn2c_branch2a_0" lr_mult: 0 } param { name: "bn2c_branch2a_1" lr_mult: 0 } param { name: "bn2c_branch2a_2" lr_mult: 0 } }
layer { bottom: "res2c_branch2a" top: "res2c_branch2a" name: "scale2c_branch2a" type: "Scale"
scale_param { bias_term: true }
param { name: "scale2c_branch2a_0" lr_mult: 0 } param { name: "scale2c_branch2a_1" lr_mult: 0 } }
layer { bottom: "res2c_branch2a" top: "res2c_branch2a" name: "res2c_branch2a_relu" type: "ReLU" }
layer { bottom: "res2c_branch2a" top: "res2c_branch2b" name: "res2c_branch2b" type: "Convolution"
convolution_param { num_output: 64 kernel_size: 3 pad: 2 dilation: 2 stride: 1 bias_term: false }
param { name: "res2c_branch2b_0" lr_mult: 1 decay_mult: 1 } }
layer { bottom: "res2c_branch2b" top: "res2c_branch2b" name: "bn2c_branch2b" type: "BatchNorm"
batch_norm_param { use_global_stats: true }
param { name: "bn2c_branch2b_0" lr_mult: 0 } param { name: "bn2c_branch2b_1" lr_mult: 0 } param { name: "bn2c_branch2b_2" lr_mult: 0 } }
layer { bottom: "res2c_branch2b" top: "res2c_branch2b" name: "scale2c_branch2b" type: "Scale"
scale_param { bias_term: true }
param { name: "scale2c_branch2b_0" lr_mult: 0 } param { name: "scale2c_branch2b_1" lr_mult: 0 } }
layer { bottom: "res2c_branch2b" top: "res2c_branch2b" name: "res2c_branch2b_relu" type: "ReLU" }
layer { bottom: "res2c_branch2b" top: "res2c_branch2c" name: "res2c_branch2c" type: "Convolution"
convolution_param { num_output: 256 kernel_size: 1 pad: 0 stride: 1 bias_term: false }
param { name: "res2c_branch2c_0" lr_mult: 1 decay_mult: 1 } }
layer { bottom: "res2c_branch2c" top: "res2c_branch2c" name: "bn2c_branch2c" type: "BatchNorm"
batch_norm_param { use_global_stats: true }
param { name: "bn2c_branch2c_0" lr_mult: 0 } param { name: "bn2c_branch2c_1" lr_mult: 0 } param { name: "bn2c_branch2c_2" lr_mult: 0 } }
layer { bottom: "res2c_branch2c" top: "res2c_branch2c" name: "scale2c_branch2c" type: "Scale"
scale_param { bias_term: true }
param { name: "scale2c_branch2c_0" lr_mult: 0 } param { name: "scale2c_branch2c_1" lr_mult: 0 } }
layer { bottom: "res2b" bottom: "res2c_branch2c" top: "res2c" name: "res2c" type: "Eltwise" }
layer { bottom: "res2c" top: "res2c" name: "res2c_relu" type: "ReLU" }
###################### Convolution Block 3 #####################
layer { bottom: "res2c" top: "res3a_branch1" name: "res3a_branch1" type: "Convolution"
convolution_param { num_output: 512 kernel_size: 1 pad: 0 stride: 2 bias_term: false }
param { name: "res3a_branch1_0" lr_mult: 1 decay_mult: 1 } }
layer { bottom: "res3a_branch1" top: "res3a_branch1" name: "bn3a_branch1" type: "BatchNorm"
batch_norm_param { use_global_stats: true }
param { name: "bn3a_branch1_0" lr_mult: 0 } param { name: "bn3a_branch1_1" lr_mult: 0 } param { name: "bn3a_branch1_2" lr_mult: 0 } }
layer { bottom: "res3a_branch1" top: "res3a_branch1" name: "scale3a_branch1" type: "Scale"
scale_param { bias_term: true }
param { name: "scale3a_branch1_0" lr_mult: 0 } param { name: "scale3a_branch1_1" lr_mult: 0 } }
layer { bottom: "res2c" top: "res3a_branch2a" name: "res3a_branch2a" type: "Convolution"
convolution_param { num_output: 128 kernel_size: 1 pad: 0 stride: 2 bias_term: false }
param { name: "res3a_branch2a_0" lr_mult: 1 decay_mult: 1 } }
layer { bottom: "res3a_branch2a" top: "res3a_branch2a" name: "bn3a_branch2a" type: "BatchNorm"
batch_norm_param { use_global_stats: true }
param { name: "bn3a_branch2a_0" lr_mult: 0 } param { name: "bn3a_branch2a_1" lr_mult: 0 } param { name: "bn3a_branch2a_2" lr_mult: 0 } }
layer { bottom: "res3a_branch2a" top: "res3a_branch2a" name: "scale3a_branch2a" type: "Scale"
scale_param { bias_term: true }
param { name: "scale3a_branch2a_0" lr_mult: 0 } param { name: "scale3a_branch2a_1" lr_mult: 0 } }
layer { bottom: "res3a_branch2a" top: "res3a_branch2a" name: "res3a_branch2a_relu" type: "ReLU" }
layer { bottom: "res3a_branch2a" top: "res3a_branch2b" name: "res3a_branch2b" type: "Convolution"
convolution_param { num_output: 128 kernel_size: 3 pad: 2 dilation: 2 stride: 1 bias_term: false }
param { name: "res3a_branch2b_0" lr_mult: 1 decay_mult: 1 } }
layer { bottom: "res3a_branch2b" top: "res3a_branch2b" name: "bn3a_branch2b" type: "BatchNorm"
batch_norm_param { use_global_stats: true }
param { name: "bn3a_branch2b_0" lr_mult: 0 } param { name: "bn3a_branch2b_1" lr_mult: 0 } param { name: "bn3a_branch2b_2" lr_mult: 0 } }
layer { bottom: "res3a_branch2b" top: "res3a_branch2b" name: "scale3a_branch2b" type: "Scale"
scale_param { bias_term: true }
param { name: "scale3a_branch2b_0" lr_mult: 0 } param { name: "scale3a_branch2b_1" lr_mult: 0 } }
layer { bottom: "res3a_branch2b" top: "res3a_branch2b" name: "res3a_branch2b_relu" type: "ReLU" }
layer { bottom: "res3a_branch2b" top: "res3a_branch2c" name: "res3a_branch2c" type: "Convolution"
convolution_param { num_output: 512 kernel_size: 1 pad: 0 stride: 1 bias_term: false }
param { name: "res3a_branch2c_0" lr_mult: 1 decay_mult: 1 } }
layer { bottom: "res3a_branch2c" top: "res3a_branch2c" name: "bn3a_branch2c" type: "BatchNorm"
batch_norm_param { use_global_stats: true }
param { name: "bn3a_branch2c_0" lr_mult: 0 } param { name: "bn3a_branch2c_1" lr_mult: 0 } param { name: "bn3a_branch2c_2" lr_mult: 0 } }
layer { bottom: "res3a_branch2c" top: "res3a_branch2c" name: "scale3a_branch2c" type: "Scale"
scale_param { bias_term: true }
param { name: "scale3a_branch2c_0" lr_mult: 0 } param { name: "scale3a_branch2c_1" lr_mult: 0 } }
layer { bottom: "res3a_branch1" bottom: "res3a_branch2c" top: "res3a" name: "res3a" type: "Eltwise" }
layer { bottom: "res3a" top: "res3a" name: "res3a_relu" type: "ReLU" }
layer { bottom: "res3a" top: "res3b1_branch2a" name: "res3b1_branch2a" type: "Convolution"
convolution_param { num_output: 128 kernel_size: 1 pad: 0 stride: 1 bias_term: false }
param { name: "res3b1_branch2a_0" lr_mult: 1 decay_mult: 1 } }
layer { bottom: "res3b1_branch2a" top: "res3b1_branch2a" name: "bn3b1_branch2a" type: "BatchNorm"
batch_norm_param { use_global_stats: true }
param { name: "bn3b1_branch2a_0" lr_mult: 0 } param { name: "bn3b1_branch2a_1" lr_mult: 0 } param { name: "bn3b1_branch2a_2" lr_mult: 0 } }
layer { bottom: "res3b1_branch2a" top: "res3b1_branch2a" name: "scale3b1_branch2a" type: "Scale"
scale_param { bias_term: true }
param { name: "scale3b1_branch2a_0" lr_mult: 0 } param { name: "scale3b1_branch2a_1" lr_mult: 0 } }
layer { bottom: "res3b1_branch2a" top: "res3b1_branch2a" name: "res3b1_branch2a_relu" type: "ReLU" }
layer { bottom: "res3b1_branch2a" top: "res3b1_branch2b" name: "res3b1_branch2b" type: "Convolution"
convolution_param { num_output: 128 kernel_size: 3 pad: 2 dilation: 2 stride: 1 bias_term: false }
param { name: "res3b1_branch2b_0" lr_mult: 1 decay_mult: 1 } }
layer { bottom: "res3b1_branch2b" top: "res3b1_branch2b" name: "bn3b1_branch2b" type: "BatchNorm"
batch_norm_param { use_global_stats: true }
param { name: "bn3b1_branch2b_0" lr_mult: 0 } param { name: "bn3b1_branch2b_1" lr_mult: 0 } param { name: "bn3b1_branch2b_2" lr_mult: 0 } }
layer { bottom: "res3b1_branch2b" top: "res3b1_branch2b" name: "scale3b1_branch2b" type: "Scale"
scale_param { bias_term: true }
param { name: "scale3b1_branch2b_0" lr_mult: 0 } param { name: "scale3b1_branch2b_1" lr_mult: 0 } }
layer { bottom: "res3b1_branch2b" top: "res3b1_branch2b" name: "res3b1_branch2b_relu" type: "ReLU" }
layer { bottom: "res3b1_branch2b" top: "res3b1_branch2c" name: "res3b1_branch2c" type: "Convolution"
convolution_param { num_output: 512 kernel_size: 1 pad: 0 stride: 1 bias_term: false }
param { name: "res3b1_branch2c_0" lr_mult: 1 decay_mult: 1 } }
layer { bottom: "res3b1_branch2c" top: "res3b1_branch2c" name: "bn3b1_branch2c" type: "BatchNorm"
batch_norm_param { use_global_stats: true }
param { name: "bn3b1_branch2c_0" lr_mult: 0 } param { name: "bn3b1_branch2c_1" lr_mult: 0 } param { name: "bn3b1_branch2c_2" lr_mult: 0 } }
layer { bottom: "res3b1_branch2c" top: "res3b1_branch2c" name: "scale3b1_branch2c" type: "Scale"
scale_param { bias_term: true }
param { name: "scale3b1_branch2c_0" lr_mult: 0 } param { name: "scale3b1_branch2c_1" lr_mult: 0 } }
layer { bottom: "res3a" bottom: "res3b1_branch2c" top: "res3b1" name: "res3b1" type: "Eltwise" }
layer { bottom: "res3b1" top: "res3b1" name: "res3b1_relu" type: "ReLU" }
layer { bottom: "res3b1" top: "res3b2_branch2a" name: "res3b2_branch2a" type: "Convolution"
convolution_param { num_output: 128 kernel_size: 1 pad: 0 stride: 1 bias_term: false }
param { name: "res3b2_branch2a_0" lr_mult: 1 decay_mult: 1 } }
layer { bottom: "res3b2_branch2a" top: "res3b2_branch2a" name: "bn3b2_branch2a" type: "BatchNorm"
batch_norm_param { use_global_stats: true }
param { name: "bn3b2_branch2a_0" lr_mult: 0 } param { name: "bn3b2_branch2a_1" lr_mult: 0 } param { name: "bn3b2_branch2a_2" lr_mult: 0 } }
layer { bottom: "res3b2_branch2a" top: "res3b2_branch2a" name: "scale3b2_branch2a" type: "Scale"
scale_param { bias_term: true }
param { name: "scale3b2_branch2a_0" lr_mult: 0 } param { name: "scale3b2_branch2a_1" lr_mult: 0 } }
layer { bottom: "res3b2_branch2a" top: "res3b2_branch2a" name: "res3b2_branch2a_relu" type: "ReLU" }
layer { bottom: "res3b2_branch2a" top: "res3b2_branch2b" name: "res3b2_branch2b" type: "Convolution"
param { name: "res3b2_branch2b_0" lr_mult: 1 decay_mult: 1 }
convolution_param { num_output: 128 kernel_size: 3 pad: 2 dilation: 2 stride: 1 bias_term: false } }
layer { bottom: "res3b2_branch2b" top: "res3b2_branch2b" name: "bn3b2_branch2b" type: "BatchNorm"
batch_norm_param { use_global_stats: true }
param { name: "bn3b2_branch2b_0" lr_mult: 0 } param { name: "bn3b2_branch2b_1" lr_mult: 0 } param { name: "bn3b2_branch2b_2" lr_mult: 0 } }
layer { bottom: "res3b2_branch2b" top: "res3b2_branch2b" name: "scale3b2_branch2b" type: "Scale"
scale_param { bias_term: true } param { name: "scale3b2_branch2b_0" lr_mult: 0 } param { name: "scale3b2_branch2b_1" lr_mult: 0 } }
layer { bottom: "res3b2_branch2b" top: "res3b2_branch2b" name: "res3b2_branch2b_relu" type: "ReLU" }
layer { bottom: "res3b2_branch2b" top: "res3b2_branch2c" name: "res3b2_branch2c" type: "Convolution"
convolution_param { num_output: 512 kernel_size: 1 pad: 0 stride: 1 bias_term: false }
param { name: "res3b2_branch2c_0" lr_mult: 1 decay_mult: 1 } }
layer { bottom: "res3b2_branch2c" top: "res3b2_branch2c" name: "bn3b2_branch2c" type: "BatchNorm"
batch_norm_param { use_global_stats: true }
param { name: "bn3b2_branch2c_0" lr_mult: 0 } param { name: "bn3b2_branch2c_1" lr_mult: 0 } param { name: "bn3b2_branch2c_2" lr_mult: 0 } }
layer { bottom: "res3b2_branch2c" top: "res3b2_branch2c" name: "scale3b2_branch2c" type: "Scale"
scale_param { bias_term: true }
param { name: "scale3b2_branch2c_0" lr_mult: 0 } param { name: "scale3b2_branch2c_1" lr_mult: 0 } }
layer { bottom: "res3b1" bottom: "res3b2_branch2c" top: "res3b2" name: "res3b2" type: "Eltwise" }
layer { bottom: "res3b2" top: "res3b2" name: "res3b2_relu" type: "ReLU" }
layer { bottom: "res3b2" top: "res3b3_branch2a" name: "res3b3_branch2a" type: "Convolution"
convolution_param { num_output: 128 kernel_size: 1 pad: 0 stride: 1 bias_term: false }
param { name: "res3b3_branch2a_0" lr_mult: 1 decay_mult: 1 } }
layer { bottom: "res3b3_branch2a" top: "res3b3_branch2a" name: "bn3b3_branch2a" type: "BatchNorm"
batch_norm_param { use_global_stats: true }
param { name: "bn3b3_branch2a_0" lr_mult: 0 } param { name: "bn3b3_branch2a_1" lr_mult: 0 } param { name: "bn3b3_branch2a_2" lr_mult: 0 } }
layer { bottom: "res3b3_branch2a" top: "res3b3_branch2a" name: "scale3b3_branch2a" type: "Scale"
scale_param { bias_term: true }
param { name: "scale3b3_branch2a_0" lr_mult: 0 } param { name: "scale3b3_branch2a_1" lr_mult: 0 } }
layer { bottom: "res3b3_branch2a" top: "res3b3_branch2a" name: "res3b3_branch2a_relu" type: "ReLU" }
layer { bottom: "res3b3_branch2a" top: "res3b3_branch2b" name: "res3b3_branch2b" type: "Convolution"
convolution_param { num_output: 128 kernel_size: 3 pad: 2 dilation: 2 stride: 1 bias_term: false }
param { name: "res3b3_branch2b_0" lr_mult: 1 decay_mult: 1 } }
layer { bottom: "res3b3_branch2b" top: "res3b3_branch2b" name: "bn3b3_branch2b" type: "BatchNorm"
batch_norm_param { use_global_stats: true }
param { name: "bn3b3_branch2b_0" lr_mult: 0 } param { name: "bn3b3_branch2b_1" lr_mult: 0 } param { name: "bn3b3_branch2b_2" lr_mult: 0 } }
layer { bottom: "res3b3_branch2b" top: "res3b3_branch2b" name: "scale3b3_branch2b" type: "Scale"
scale_param { bias_term: true }
param { name: "scale3b3_branch2b_0" lr_mult: 0 } param { name: "scale3b3_branch2b_1" lr_mult: 0 } }
layer { bottom: "res3b3_branch2b" top: "res3b3_branch2b" name: "res3b3_branch2b_relu" type: "ReLU" }
layer { bottom: "res3b3_branch2b" top: "res3b3_branch2c" name: "res3b3_branch2c" type: "Convolution"
convolution_param { num_output: 512 kernel_size: 1 pad: 0 stride: 1 bias_term: false }
param { name: "res3b3_branch2c_0" lr_mult: 1 decay_mult: 1 } }
layer { bottom: "res3b3_branch2c" top: "res3b3_branch2c" name: "bn3b3_branch2c" type: "BatchNorm"
batch_norm_param { use_global_stats: true }
param { name: "bn3b3_branch2c_0" lr_mult: 0 } param { name: "bn3b3_branch2c_1" lr_mult: 0 } param { name: "bn3b3_branch2c_2" lr_mult: 0 } }
layer { bottom: "res3b3_branch2c" top: "res3b3_branch2c" name: "scale3b3_branch2c" type: "Scale"
scale_param { bias_term: true }
param { name: "scale3b3_branch2c_0" lr_mult: 0 } param { name: "scale3b3_branch2c_1" lr_mult: 0 } }
layer { bottom: "res3b2" bottom: "res3b3_branch2c" top: "res3b3" name: "res3b3" type: "Eltwise" }
layer { bottom: "res3b3" top: "res3b3" name: "res3b3_relu" type: "ReLU" }
###################### Convolution Block 4 #####################
layer { bottom: "res3b3" top: "res4a_branch1" name: "res4a_branch1" type: "Convolution"
convolution_param { num_output: 1024 kernel_size: 1 pad: 0 stride: 2 bias_term: false }
param { name: "res4a_branch1_0" lr_mult: 1 decay_mult: 1 } }
layer { bottom: "res4a_branch1" top: "res4a_branch1" name: "bn4a_branch1" type: "BatchNorm"
batch_norm_param { use_global_stats: true }
param { name: "bn4a_branch1_0" lr_mult: 0 } param { name: "bn4a_branch1_1" lr_mult: 0 } param { name: "bn4a_branch1_2" lr_mult: 0 } }
layer { bottom: "res4a_branch1" top: "res4a_branch1" name: "scale4a_branch1" type: "Scale"
scale_param { bias_term: true }
param { name: "scale4a_branch1_0" lr_mult: 0 } param { name: "scale4a_branch1_1" lr_mult: 0 } }
layer { bottom: "res3b3" top: "res4a_branch2a" name: "res4a_branch2a" type: "Convolution"
convolution_param { num_output: 256 kernel_size: 1 pad: 0 stride: 2 bias_term: false }
param { name: "res4a_branch2a_0" lr_mult: 1 decay_mult: 1 } }
layer { bottom: "res4a_branch2a" top: "res4a_branch2a" name: "bn4a_branch2a" type: "BatchNorm"
batch_norm_param { use_global_stats: true }
param { name: "bn4a_branch2a_0" lr_mult: 0 } param { name: "bn4a_branch2a_1" lr_mult: 0 } param { name: "bn4a_branch2a_2" lr_mult: 0 } }
layer { bottom: "res4a_branch2a" top: "res4a_branch2a" name: "scale4a_branch2a" type: "Scale"
scale_param { bias_term: true }
param { name: "scale4a_branch2a_0" lr_mult: 0 } param { name: "scale4a_branch2a_1" lr_mult: 0 } }
layer { bottom: "res4a_branch2a" top: "res4a_branch2a" name: "res4a_branch2a_relu" type: "ReLU" }
layer { bottom: "res4a_branch2a" top: "res4a_branch2b" name: "res4a_branch2b" type: "Convolution"
convolution_param { num_output: 256 kernel_size: 3 pad: 2 dilation: 2 stride: 1 bias_term: false }
param { name: "res4a_branch2b_0" lr_mult: 1 decay_mult: 1 } }
layer { bottom: "res4a_branch2b" top: "res4a_branch2b" name: "bn4a_branch2b" type: "BatchNorm"
batch_norm_param { use_global_stats: true }
param { name: "bn4a_branch2b_0" lr_mult: 0 } param { name: "bn4a_branch2b_1" lr_mult: 0 } param { name: "bn4a_branch2b_2" lr_mult: 0 } }
layer { bottom: "res4a_branch2b" top: "res4a_branch2b" name: "scale4a_branch2b" type: "Scale"
scale_param { bias_term: true }
param { name: "scale4a_branch2b_0" lr_mult: 0 } param { name: "scale4a_branch2b_1" lr_mult: 0 } }
layer { bottom: "res4a_branch2b" top: "res4a_branch2b" name: "res4a_branch2b_relu" type: "ReLU" }
layer { bottom: "res4a_branch2b" top: "res4a_branch2c" name: "res4a_branch2c" type: "Convolution"
convolution_param { num_output: 1024 kernel_size: 1 pad: 0 stride: 1 bias_term: false }
param { name: "res4a_branch2c_0" lr_mult: 1 decay_mult: 1 } }
layer { bottom: "res4a_branch2c" top: "res4a_branch2c" name: "bn4a_branch2c" type: "BatchNorm"
batch_norm_param { use_global_stats: true }
param { name: "bn4a_branch2c_0" lr_mult: 0 } param { name: "bn4a_branch2c_1" lr_mult: 0 } param { name: "bn4a_branch2c_2" lr_mult: 0 } }
layer { bottom: "res4a_branch2c" top: "res4a_branch2c" name: "scale4a_branch2c" type: "Scale"
scale_param { bias_term: true }
param { name: "scale4a_branch2c_0" lr_mult: 0 } param { name: "scale4a_branch2c_1" lr_mult: 0 } }
layer { bottom: "res4a_branch1" bottom: "res4a_branch2c" top: "res4a" name: "res4a" type: "Eltwise" }
layer { bottom: "res4a" top: "res4a" name: "res4a_relu" type: "ReLU" }
layer { bottom: "res4a" top: "res4b1_branch2a" name: "res4b1_branch2a" type: "Convolution"
convolution_param { num_output: 256 kernel_size: 1 pad: 0 stride: 1 bias_term: false }
param { name: "res4b1_branch2a_0" lr_mult: 1 decay_mult: 1 } }
layer { bottom: "res4b1_branch2a" top: "res4b1_branch2a" name: "bn4b1_branch2a" type: "BatchNorm"
batch_norm_param { use_global_stats: true }
param { name: "bn4b1_branch2a_0" lr_mult: 0 } param { name: "bn4b1_branch2a_1" lr_mult: 0 } param { name: "bn4b1_branch2a_2" lr_mult: 0 } }
layer { bottom: "res4b1_branch2a" top: "res4b1_branch2a" name: "scale4b1_branch2a" type: "Scale"
scale_param { bias_term: true }
param { name: "scale4b1_branch2a_0" lr_mult: 0 } param { name: "scale4b1_branch2a_1" lr_mult: 0 } }
layer { top: "res4b1_branch2a" bottom: "res4b1_branch2a" name: "res4b1_branch2a_relu" type: "ReLU" }
layer { bottom: "res4b1_branch2a" top: "res4b1_branch2b" name: "res4b1_branch2b" type: "Convolution"
convolution_param { num_output: 256 kernel_size: 3 pad: 2 dilation: 2 stride: 1 bias_term: false }
param { name: "res4b1_branch2b_0" lr_mult: 1 decay_mult: 1 } }
layer { bottom: "res4b1_branch2b" top: "res4b1_branch2b" name: "bn4b1_branch2b" type: "BatchNorm"
batch_norm_param { use_global_stats: true }
param { name: "bn4b1_branch2b_0" lr_mult: 0 } param { name: "bn4b1_branch2b_1" lr_mult: 0 } param { name: "bn4b1_branch2b_2" lr_mult: 0 } }
layer { bottom: "res4b1_branch2b" top: "res4b1_branch2b" name: "scale4b1_branch2b" type: "Scale"
scale_param { bias_term: true }
param { name: "scale4b1_branch2b_0" lr_mult: 0 } param { name: "scale4b1_branch2b_1" lr_mult: 0 } }
layer { bottom: "res4b1_branch2b" top: "res4b1_branch2b" name: "res4b1_branch2b_relu" type: "ReLU" }
layer { bottom: "res4b1_branch2b" top: "res4b1_branch2c" name: "res4b1_branch2c" type: "Convolution"
convolution_param { num_output: 1024 kernel_size: 1 pad: 0 stride: 1 bias_term: false }
param { name: "res4b1_branch2c_0" lr_mult: 1 decay_mult: 1 } }
layer { bottom: "res4b1_branch2c" top: "res4b1_branch2c" name: "bn4b1_branch2c" type: "BatchNorm"
batch_norm_param { use_global_stats: true }
param { name: "bn4b1_branch2c_0" lr_mult: 0 } param { name: "bn4b1_branch2c_1" lr_mult: 0 } param { name: "bn4b1_branch2c_2" lr_mult: 0 } }
layer { bottom: "res4b1_branch2c" top: "res4b1_branch2c" name: "scale4b1_branch2c" type: "Scale"
scale_param { bias_term: true }
param { name: "scale4b1_branch2c_0" lr_mult: 0 } param { name: "scale4b1_branch2c_1" lr_mult: 0 } }
layer { bottom: "res4a" bottom: "res4b1_branch2c" top: "res4b1" name: "res4b1" type: "Eltwise" }
layer { bottom: "res4b1" top: "res4b1" name: "res4b1_relu" type: "ReLU" }
layer { bottom: "res4b1" top: "res4b2_branch2a" name: "res4b2_branch2a" type: "Convolution"
convolution_param { num_output: 256 kernel_size: 1 pad: 0 stride: 1 bias_term: false }
param { name: "res4b2_branch2a_0" lr_mult: 1 decay_mult: 1 } }
layer { bottom: "res4b2_branch2a" top: "res4b2_branch2a" name: "bn4b2_branch2a" type: "BatchNorm"
batch_norm_param { use_global_stats: true }
param { name: "bn4b2_branch2a_0" lr_mult: 0 } param { name: "bn4b2_branch2a_1" lr_mult: 0 } param { name: "bn4b2_branch2a_2" lr_mult: 0 } }
layer { bottom: "res4b2_branch2a" top: "res4b2_branch2a" name: "scale4b2_branch2a" type: "Scale"
scale_param { bias_term: true }
param { name: "scale4b2_branch2a_0" lr_mult: 0 } param { name: "scale4b2_branch2a_1" lr_mult: 0 } }
layer { bottom: "res4b2_branch2a" top: "res4b2_branch2a" name: "res4b2_branch2a_relu" type: "ReLU" }
layer { bottom: "res4b2_branch2a" top: "res4b2_branch2b" name: "res4b2_branch2b" type: "Convolution"
convolution_param { num_output: 256 kernel_size: 3 pad: 2 dilation: 2 stride: 1 bias_term: false }
param { name: "res4b2_branch2b_0" lr_mult: 1 decay_mult: 1 } }
layer { bottom: "res4b2_branch2b" top: "res4b2_branch2b" name: "bn4b2_branch2b" type: "BatchNorm"
batch_norm_param { use_global_stats: true }
param { name: "bn4b2_branch2b_0" lr_mult: 0 } param { name: "bn4b2_branch2b_1" lr_mult: 0 } param { name: "bn4b2_branch2b_2" lr_mult: 0 } }
layer { bottom: "res4b2_branch2b" top: "res4b2_branch2b" name: "scale4b2_branch2b" type: "Scale"
scale_param { bias_term: true }
param { name: "scale4b2_branch2b_0" lr_mult: 0 } param { name: "scale4b2_branch2b_1" lr_mult: 0 } }
layer { bottom: "res4b2_branch2b" top: "res4b2_branch2b" name: "res4b2_branch2b_relu" type: "ReLU" }
layer { bottom: "res4b2_branch2b" top: "res4b2_branch2c" name: "res4b2_branch2c" type: "Convolution"
convolution_param { num_output: 1024 kernel_size: 1 pad: 0 stride: 1 bias_term: false }
param { name: "res4b2_branch2c_0" lr_mult: 1 decay_mult: 1 } }
layer { bottom: "res4b2_branch2c" top: "res4b2_branch2c" name: "bn4b2_branch2c" type: "BatchNorm"
batch_norm_param { use_global_stats: true }
param { name: "bn4b2_branch2c_0" lr_mult: 0 } param { name: "bn4b2_branch2c_1" lr_mult: 0 } param { name: "bn4b2_branch2c_2" lr_mult: 0 } }
layer { bottom: "res4b2_branch2c" top: "res4b2_branch2c" name: "scale4b2_branch2c" type: "Scale"
scale_param { bias_term: true }
param { name: "scale4b2_branch2c_0" lr_mult: 0 } param { name: "scale4b2_branch2c_1" lr_mult: 0 } }
layer { bottom: "res4b1" bottom: "res4b2_branch2c" top: "res4b2" name: "res4b2" type: "Eltwise" }
layer { bottom: "res4b2" top: "res4b2" name: "res4b2_relu" type: "ReLU" }
layer { bottom: "res4b2" top: "res4b3_branch2a" name: "res4b3_branch2a" type: "Convolution"
convolution_param { num_output: 256 kernel_size: 1 pad: 0 stride: 1 bias_term: false }
param { name: "res4b3_branch2a_0" lr_mult: 1 decay_mult: 1 } }
layer { bottom: "res4b3_branch2a" top: "res4b3_branch2a" name: "bn4b3_branch2a" type: "BatchNorm"
batch_norm_param { use_global_stats: true }
param { name: "bn4b3_branch2a_0" lr_mult: 0 } param { name: "bn4b3_branch2a_1" lr_mult: 0 } param { name: "bn4b3_branch2a_2" lr_mult: 0 } }
layer { bottom: "res4b3_branch2a" top: "res4b3_branch2a" name: "scale4b3_branch2a" type: "Scale"
scale_param { bias_term: true }
param { name: "scale4b3_branch2a_0" lr_mult: 0 } param { name: "scale4b3_branch2a_1" lr_mult: 0 } }
layer { bottom: "res4b3_branch2a" top: "res4b3_branch2a" name: "res4b3_branch2a_relu" type: "ReLU" }
layer { bottom: "res4b3_branch2a" top: "res4b3_branch2b" name: "res4b3_branch2b" type: "Convolution"
convolution_param { num_output: 256 kernel_size: 3 pad: 2 dilation: 2 stride: 1 bias_term: false }
param { name: "res4b3_branch2b_0" lr_mult: 1 decay_mult: 1 } }
layer { bottom: "res4b3_branch2b" top: "res4b3_branch2b" name: "bn4b3_branch2b" type: "BatchNorm"
batch_norm_param { use_global_stats: true }
param { name: "bn4b3_branch2b_0" lr_mult: 0 } param { name: "bn4b3_branch2b_1" lr_mult: 0 } param { name: "bn4b3_branch2b_2" lr_mult: 0 } }
layer { bottom: "res4b3_branch2b" top: "res4b3_branch2b" name: "scale4b3_branch2b" type: "Scale"
scale_param { bias_term: true }
param { name: "scale4b3_branch2b_0" lr_mult: 0 } param { name: "scale4b3_branch2b_1" lr_mult: 0 } }
layer { top: "res4b3_branch2b" bottom: "res4b3_branch2b" name: "res4b3_branch2b_relu" type: "ReLU" }
layer { bottom: "res4b3_branch2b" top: "res4b3_branch2c" name: "res4b3_branch2c" type: "Convolution"
convolution_param { num_output: 1024 kernel_size: 1 pad: 0 stride: 1 bias_term: false }
param { name: "res4b3_branch2c_0" lr_mult: 1 decay_mult: 1 } }
layer { bottom: "res4b3_branch2c" top: "res4b3_branch2c" name: "bn4b3_branch2c" type: "BatchNorm"
batch_norm_param { use_global_stats: true }
param { name: "bn4b3_branch2c_0" lr_mult: 0 } param { name: "bn4b3_branch2c_1" lr_mult: 0 } param { name: "bn4b3_branch2c_2" lr_mult: 0 } }
layer { bottom: "res4b3_branch2c" top: "res4b3_branch2c" name: "scale4b3_branch2c" type: "Scale"
scale_param { bias_term: true }
param { name: "scale4b3_branch2c_0" lr_mult: 0 } param { name: "scale4b3_branch2c_1" lr_mult: 0 } }
layer { bottom: "res4b2" bottom: "res4b3_branch2c" top: "res4b3" name: "res4b3" type: "Eltwise"}
layer { bottom: "res4b3" top: "res4b3" name: "res4b3_relu" type: "ReLU" }
layer { bottom: "res4b3" top: "res4b4_branch2a" name: "res4b4_branch2a" type: "Convolution"
convolution_param { num_output: 256 kernel_size: 1 pad: 0 stride: 1 bias_term: false }
param { name: "res4b4_branch2a_0" lr_mult: 1 decay_mult: 1 } }
layer { bottom: "res4b4_branch2a" top: "res4b4_branch2a" name: "bn4b4_branch2a" type: "BatchNorm"
batch_norm_param { use_global_stats: true }
param { name: "bn4b4_branch2a_0" lr_mult: 0 } param { name: "bn4b4_branch2a_1" lr_mult: 0 } param { name: "bn4b4_branch2a_2" lr_mult: 0 } }
layer { bottom: "res4b4_branch2a" top: "res4b4_branch2a" name: "scale4b4_branch2a" type: "Scale"
scale_param { bias_term: true }
param { name: "scale4b4_branch2a_0" lr_mult: 0 } param { name: "scale4b4_branch2a_1" lr_mult: 0 } }
layer { bottom: "res4b4_branch2a" top: "res4b4_branch2a" name: "res4b4_branch2a_relu" type: "ReLU" }
layer { bottom: "res4b4_branch2a" top: "res4b4_branch2b" name: "res4b4_branch2b" type: "Convolution"
convolution_param { num_output: 256 kernel_size: 3 pad: 2 dilation: 2 stride: 1 bias_term: false }
param { name: "res4b4_branch2b_0" lr_mult: 1 decay_mult: 1 } }
layer { bottom: "res4b4_branch2b" top: "res4b4_branch2b" name: "bn4b4_branch2b" type: "BatchNorm"
batch_norm_param { use_global_stats: true }
param { name: "bn4b4_branch2b_0" lr_mult: 0 } param { name: "bn4b4_branch2b_1" lr_mult: 0 } param { name: "bn4b4_branch2b_2" lr_mult: 0 } }
layer { bottom: "res4b4_branch2b" top: "res4b4_branch2b" name: "scale4b4_branch2b" type: "Scale"
scale_param { bias_term: true }
param { name: "scale4b4_branch2b_0" lr_mult: 0 } param { name: "scale4b4_branch2b_1" lr_mult: 0 } }
layer { bottom: "res4b4_branch2b" top: "res4b4_branch2b" name: "res4b4_branch2b_relu" type: "ReLU" }
layer { bottom: "res4b4_branch2b" top: "res4b4_branch2c" name: "res4b4_branch2c" type: "Convolution"
convolution_param { num_output: 1024 kernel_size: 1 pad: 0 stride: 1 bias_term: false }
param { name: "res4b4_branch2c_0" lr_mult: 1 decay_mult: 1 } }
layer { bottom: "res4b4_branch2c" top: "res4b4_branch2c" name: "bn4b4_branch2c" type: "BatchNorm"
batch_norm_param { use_global_stats: true }
param { name: "bn4b4_branch2c_0" lr_mult: 0 } param { name: "bn4b4_branch2c_1" lr_mult: 0 } param { name: "bn4b4_branch2c_2" lr_mult: 0 } }
layer { bottom: "res4b4_branch2c" top: "res4b4_branch2c" name: "scale4b4_branch2c" type: "Scale"
scale_param { bias_term: true }
param { name: "scale4b4_branch2c_0" lr_mult: 0 } param { name: "scale4b4_branch2c_1" lr_mult: 0 } }
layer { bottom: "res4b3" bottom: "res4b4_branch2c" top: "res4b4" name: "res4b4" type: "Eltwise" }
layer { bottom: "res4b4" top: "res4b4" name: "res4b4_relu" type: "ReLU" }
layer { bottom: "res4b4" top: "res4b5_branch2a" name: "res4b5_branch2a" type: "Convolution"
convolution_param { num_output: 256 kernel_size: 1 pad: 0 stride: 1 bias_term: false }
param { name: "res4b5_branch2a_0" lr_mult: 1 decay_mult: 1 } }
layer { bottom: "res4b5_branch2a" top: "res4b5_branch2a" name: "bn4b5_branch2a" type: "BatchNorm"
batch_norm_param { use_global_stats: true }
param { name: "bn4b5_branch2a_0" lr_mult: 0 } param { name: "bn4b5_branch2a_1" lr_mult: 0 } param { name: "bn4b5_branch2a_2" lr_mult: 0 } }
layer { bottom: "res4b5_branch2a" top: "res4b5_branch2a" name: "scale4b5_branch2a" type: "Scale"
scale_param { bias_term: true }
param { name: "scale4b5_branch2a_0" lr_mult: 0 } param { name: "scale4b5_branch2a_1" lr_mult: 0 } }
layer { top: "res4b5_branch2a" bottom: "res4b5_branch2a" name: "res4b5_branch2a_relu" type: "ReLU" }
layer { bottom: "res4b5_branch2a" top: "res4b5_branch2b" name: "res4b5_branch2b" type: "Convolution"
convolution_param { num_output: 256 kernel_size: 3 pad: 2 dilation: 2 stride: 1 bias_term: false }
param { name: "res4b5_branch2b_0" lr_mult: 1 decay_mult: 1 } }
layer { bottom: "res4b5_branch2b" top: "res4b5_branch2b" name: "bn4b5_branch2b" type: "BatchNorm"
batch_norm_param { use_global_stats: true }
param { name: "bn4b5_branch2b_0" lr_mult: 0 } param { name: "bn4b5_branch2b_1" lr_mult: 0 } param { name: "bn4b5_branch2b_2" lr_mult: 0 } }
layer { bottom: "res4b5_branch2b" top: "res4b5_branch2b" name: "scale4b5_branch2b" type: "Scale"
scale_param { bias_term: true }
param { name: "scale4b5_branch2b_0" lr_mult: 0 } param { name: "scale4b5_branch2b_1" lr_mult: 0 } }
layer { bottom: "res4b5_branch2b" top: "res4b5_branch2b" name: "res4b5_branch2b_relu" type: "ReLU" }
layer { bottom: "res4b5_branch2b" top: "res4b5_branch2c" name: "res4b5_branch2c" type: "Convolution"
convolution_param { num_output: 1024 kernel_size: 1 pad: 0 stride: 1 bias_term: false }
param { name: "res4b5_branch2c_0" lr_mult: 1 decay_mult: 1 } }
layer { bottom: "res4b5_branch2c" top: "res4b5_branch2c" name: "bn4b5_branch2c" type: "BatchNorm"
batch_norm_param { use_global_stats: true }
param { name: "bn4b5_branch2c_0" lr_mult: 0 } param { name: "bn4b5_branch2c_1" lr_mult: 0 } param { name: "bn4b5_branch2c_2" lr_mult: 0 } }
layer { bottom: "res4b5_branch2c" top: "res4b5_branch2c" name: "scale4b5_branch2c" type: "Scale"
scale_param { bias_term: true }
param { name: "scale4b5_branch2c_0" lr_mult: 0 } param { name: "scale4b5_branch2c_1" lr_mult: 0 } }
layer { bottom: "res4b4" bottom: "res4b5_branch2c" top: "res4b5" name: "res4b5" type: "Eltwise" }
layer { bottom: "res4b5" top: "res4b5" name: "res4b5_relu" type: "ReLU" }
layer { bottom: "res4b5" top: "res4b6_branch2a" name: "res4b6_branch2a" type: "Convolution"
convolution_param { num_output: 256 kernel_size: 1 pad: 0 stride: 1 bias_term: false }
param { name: "res4b6_branch2a_0" lr_mult: 1 decay_mult: 1 } }
layer { bottom: "res4b6_branch2a" top: "res4b6_branch2a" name: "bn4b6_branch2a" type: "BatchNorm"
batch_norm_param { use_global_stats: true }
param { name: "bn4b6_branch2a_0" lr_mult: 0 } param { name: "bn4b6_branch2a_1" lr_mult: 0 } param { name: "bn4b6_branch2a_2" lr_mult: 0 } }
layer { bottom: "res4b6_branch2a" top: "res4b6_branch2a" name: "scale4b6_branch2a" type: "Scale"
scale_param { bias_term: true }
param { name: "scale4b6_branch2a_0" lr_mult: 0 } param { name: "scale4b6_branch2a_1" lr_mult: 0 } }
layer { bottom: "res4b6_branch2a" top: "res4b6_branch2a" name: "res4b6_branch2a_relu" type: "ReLU" }
layer { bottom: "res4b6_branch2a" top: "res4b6_branch2b" name: "res4b6_branch2b" type: "Convolution"
convolution_param { num_output: 256 kernel_size: 3 pad: 2 dilation: 2 stride: 1 bias_term: false }
param { name: "res4b6_branch2b_0" lr_mult: 1 decay_mult: 1 } }
layer { bottom: "res4b6_branch2b" top: "res4b6_branch2b" name: "bn4b6_branch2b" type: "BatchNorm"
batch_norm_param { use_global_stats: true }
param { name: "bn4b6_branch2b_0" lr_mult: 0 } param { name: "bn4b6_branch2b_1" lr_mult: 0 } param { name: "bn4b6_branch2b_2" lr_mult: 0 } }
layer { bottom: "res4b6_branch2b" top: "res4b6_branch2b" name: "scale4b6_branch2b" type: "Scale"
scale_param { bias_term: true }
param { name: "scale4b6_branch2b_0" lr_mult: 0 } param { name: "scale4b6_branch2b_1" lr_mult: 0 } }
layer { bottom: "res4b6_branch2b" top: "res4b6_branch2b" name: "res4b6_branch2b_relu" type: "ReLU" }
layer { bottom: "res4b6_branch2b" top: "res4b6_branch2c" name: "res4b6_branch2c" type: "Convolution"
convolution_param { num_output: 1024 kernel_size: 1 pad: 0 stride: 1 bias_term: false }
param { name: "res4b6_branch2c_0" lr_mult: 1 decay_mult: 1 } }
layer { bottom: "res4b6_branch2c" top: "res4b6_branch2c" name: "bn4b6_branch2c" type: "BatchNorm"
batch_norm_param { use_global_stats: true }
param { name: "bn4b6_branch2c_0" lr_mult: 0 } param { name: "bn4b6_branch2c_1" lr_mult: 0 } param { name: "bn4b6_branch2c_2" lr_mult: 0 } }
layer { bottom: "res4b6_branch2c" top: "res4b6_branch2c" name: "scale4b6_branch2c" type: "Scale"
scale_param { bias_term: true }
param { name: "scale4b6_branch2c_0" lr_mult: 0 } param { name: "scale4b6_branch2c_1" lr_mult: 0 } }
layer { bottom: "res4b5" bottom: "res4b6_branch2c" top: "res4b6" name: "res4b6" type: "Eltwise" }
layer { bottom: "res4b6" top: "res4b6" name: "res4b6_relu" type: "ReLU" }
layer { bottom: "res4b6" top: "res4b7_branch2a" name: "res4b7_branch2a" type: "Convolution"
convolution_param { num_output: 256 kernel_size: 1 pad: 0 stride: 1 bias_term: false }
param { name: "res4b7_branch2a_0" lr_mult: 1 decay_mult: 1 } }
layer { bottom: "res4b7_branch2a" top: "res4b7_branch2a" name: "bn4b7_branch2a" type: "BatchNorm"
batch_norm_param { use_global_stats: true }
param { name: "bn4b7_branch2a_0" lr_mult: 0 } param { name: "bn4b7_branch2a_1" lr_mult: 0 } param { name: "bn4b7_branch2a_2" lr_mult: 0 } }
layer { bottom: "res4b7_branch2a" top: "res4b7_branch2a" name: "scale4b7_branch2a" type: "Scale"
scale_param { bias_term: true }
param { name: "scale4b7_branch2a_0" lr_mult: 0 } param { name: "scale4b7_branch2a_1" lr_mult: 0 } }
layer { bottom: "res4b7_branch2a" top: "res4b7_branch2a" name: "res4b7_branch2a_relu" type: "ReLU" }
layer { bottom: "res4b7_branch2a" top: "res4b7_branch2b" name: "res4b7_branch2b" type: "Convolution"
convolution_param { num_output: 256 kernel_size: 3 pad: 2 dilation: 2 stride: 1 bias_term: false }
param { name: "res4b7_branch2b_0" lr_mult: 1 decay_mult: 1 } }
layer { bottom: "res4b7_branch2b" top: "res4b7_branch2b" name: "bn4b7_branch2b" type: "BatchNorm"
batch_norm_param { use_global_stats: true }
param { name: "bn4b7_branch2b_0" lr_mult: 0 } param { name: "bn4b7_branch2b_1" lr_mult: 0 } param { name: "bn4b7_branch2b_2" lr_mult: 0 } }
layer { bottom: "res4b7_branch2b" top: "res4b7_branch2b" name: "scale4b7_branch2b" type: "Scale"
scale_param { bias_term: true }
param { name: "scale4b7_branch2b_0" lr_mult: 0 } param { name: "scale4b7_branch2b_1" lr_mult: 0 } }
layer { bottom: "res4b7_branch2b" top: "res4b7_branch2b" name: "res4b7_branch2b_relu" type: "ReLU" }
layer { bottom: "res4b7_branch2b" top: "res4b7_branch2c" name: "res4b7_branch2c" type: "Convolution"
convolution_param { num_output: 1024 kernel_size: 1 pad: 0 stride: 1 bias_term: false }
param { name: "res4b7_branch2c_0" lr_mult: 1 decay_mult: 1 } }
layer { bottom: "res4b7_branch2c" top: "res4b7_branch2c" name: "bn4b7_branch2c" type: "BatchNorm"
batch_norm_param { use_global_stats: true }
param { name: "bn4b7_branch2c_0" lr_mult: 0 } param { name: "bn4b7_branch2c_1" lr_mult: 0 } param { name: "bn4b7_branch2c_2" lr_mult: 0 } }
layer { bottom: "res4b7_branch2c" top: "res4b7_branch2c" name: "scale4b7_branch2c" type: "Scale"
scale_param { bias_term: true }
param { name: "scale4b7_branch2c_0" lr_mult: 0 } param { name: "scale4b7_branch2c_1" lr_mult: 0 } }
layer { bottom: "res4b6" bottom: "res4b7_branch2c" top: "res4b7" name: "res4b7" type: "Eltwise" }
layer { bottom: "res4b7" top: "res4b7" name: "res4b7_relu" type: "ReLU" }
layer { bottom: "res4b7" top: "res4b8_branch2a" name: "res4b8_branch2a" type: "Convolution"
convolution_param { num_output: 256 kernel_size: 1 pad: 0 stride: 1 bias_term: false }
param { name: "res4b8_branch2a_0" lr_mult: 1 decay_mult: 1 } }
layer { bottom: "res4b8_branch2a" top: "res4b8_branch2a" name: "bn4b8_branch2a" type: "BatchNorm"
batch_norm_param { use_global_stats: true }
param { name: "bn4b8_branch2a_0" lr_mult: 0 } param { name: "bn4b8_branch2a_1" lr_mult: 0 } param { name: "bn4b8_branch2a_2" lr_mult: 0 } }
layer { bottom: "res4b8_branch2a" top: "res4b8_branch2a" name: "scale4b8_branch2a" type: "Scale"
scale_param { bias_term: true }
param { name: "scale4b8_branch2a_0" lr_mult: 0 } param { name: "scale4b8_branch2a_1" lr_mult: 0 } }
layer { bottom: "res4b8_branch2a" top: "res4b8_branch2a" name: "res4b8_branch2a_relu" type: "ReLU" }
layer { bottom: "res4b8_branch2a" top: "res4b8_branch2b" name: "res4b8_branch2b" type: "Convolution"
convolution_param { num_output: 256 kernel_size: 3 pad: 2 dilation: 2 stride: 1 bias_term: false }
param { name: "res4b8_branch2b_0" lr_mult: 1 decay_mult: 1 } }
layer { bottom: "res4b8_branch2b" top: "res4b8_branch2b" name: "bn4b8_branch2b" type: "BatchNorm"
batch_norm_param { use_global_stats: true }
param { name: "bn4b8_branch2b_0" lr_mult: 0 } param { name: "bn4b8_branch2b_1" lr_mult: 0 } param { name: "bn4b8_branch2b_2" lr_mult: 0 } }
layer { bottom: "res4b8_branch2b" top: "res4b8_branch2b" name: "scale4b8_branch2b" type: "Scale"
scale_param { bias_term: true }
param { name: "scale4b8_branch2b_0" lr_mult: 0 } param { name: "scale4b8_branch2b_1" lr_mult: 0 } }
layer { bottom: "res4b8_branch2b" top: "res4b8_branch2b" name: "res4b8_branch2b_relu" type: "ReLU" }
layer { bottom: "res4b8_branch2b" top: "res4b8_branch2c" name: "res4b8_branch2c" type: "Convolution"
convolution_param { num_output: 1024 kernel_size: 1 pad: 0 stride: 1 bias_term: false }
param { name: "res4b8_branch2c_0" lr_mult: 1 decay_mult: 1 } }
layer { bottom: "res4b8_branch2c" top: "res4b8_branch2c" name: "bn4b8_branch2c" type: "BatchNorm"
batch_norm_param { use_global_stats: true }
param { name: "bn4b8_branch2c_0" lr_mult: 0 } param { name: "bn4b8_branch2c_1" lr_mult: 0 } param { name: "bn4b8_branch2c_2" lr_mult: 0 } }
layer { bottom: "res4b8_branch2c" top: "res4b8_branch2c" name: "scale4b8_branch2c" type: "Scale"
scale_param { bias_term: true }
param { name: "scale4b8_branch2c_0" lr_mult: 0 } param { name: "scale4b8_branch2c_1" lr_mult: 0 } }
layer { bottom: "res4b7" bottom: "res4b8_branch2c" top: "res4b8" name: "res4b8" type: "Eltwise" }
layer { bottom: "res4b8" top: "res4b8" name: "res4b8_relu" type: "ReLU" }
layer { bottom: "res4b8" top: "res4b9_branch2a" name: "res4b9_branch2a" type: "Convolution"
convolution_param { num_output: 256 kernel_size: 1 pad: 0 stride: 1 bias_term: false }
param { name: "res4b9_branch2a_0" lr_mult: 1 decay_mult: 1 } }
layer { bottom: "res4b9_branch2a" top: "res4b9_branch2a" name: "bn4b9_branch2a" type: "BatchNorm"
batch_norm_param { use_global_stats: true }
param { name: "bn4b9_branch2a_0" lr_mult: 0 } param { name: "bn4b9_branch2a_1" lr_mult: 0 } param { name: "bn4b9_branch2a_2" lr_mult: 0 } }
layer { bottom: "res4b9_branch2a" top: "res4b9_branch2a" name: "scale4b9_branch2a" type: "Scale"
scale_param { bias_term: true }
param { name: "scale4b9_branch2a_0" lr_mult: 0 } param { name: "scale4b9_branch2a_1" lr_mult: 0 } }
layer { bottom: "res4b9_branch2a" top: "res4b9_branch2a" name: "res4b9_branch2a_relu" type: "ReLU" }
layer { bottom: "res4b9_branch2a" top: "res4b9_branch2b" name: "res4b9_branch2b" type: "Convolution"
convolution_param { num_output: 256 kernel_size: 3 pad: 2 dilation: 2 stride: 1 bias_term: false }
param { name: "res4b9_branch2b_0" lr_mult: 1 decay_mult: 1 } }
layer { bottom: "res4b9_branch2b" top: "res4b9_branch2b" name: "bn4b9_branch2b" type: "BatchNorm"
batch_norm_param { use_global_stats: true }
param { name: "bn4b9_branch2b_0" lr_mult: 0 } param { name: "bn4b9_branch2b_1" lr_mult: 0 } param { name: "bn4b9_branch2b_2" lr_mult: 0 } }
layer { bottom: "res4b9_branch2b" top: "res4b9_branch2b" name: "scale4b9_branch2b" type: "Scale"
scale_param { bias_term: true }
param { name: "scale4b9_branch2b_0" lr_mult: 0 } param { name: "scale4b9_branch2b_1" lr_mult: 0 } }
layer { bottom: "res4b9_branch2b" top: "res4b9_branch2b" name: "res4b9_branch2b_relu" type: "ReLU" }
layer { bottom: "res4b9_branch2b" top: "res4b9_branch2c" name: "res4b9_branch2c" type: "Convolution"
convolution_param { num_output: 1024 kernel_size: 1 pad: 0 stride: 1 bias_term: false }
param { name: "res4b9_branch2c_0" lr_mult: 1 decay_mult: 1 } }
layer { bottom: "res4b9_branch2c" top: "res4b9_branch2c" name: "bn4b9_branch2c" type: "BatchNorm"
batch_norm_param { use_global_stats: true }
param { name: "bn4b9_branch2c_0" lr_mult: 0 } param { name: "bn4b9_branch2c_1" lr_mult: 0 } param { name: "bn4b9_branch2c_2" lr_mult: 0 } }
layer { bottom: "res4b9_branch2c" top: "res4b9_branch2c" name: "scale4b9_branch2c" type: "Scale"
scale_param { bias_term: true }
param { name: "scale4b9_branch2c_0" lr_mult: 0 } param { name: "scale4b9_branch2c_1" lr_mult: 0 } }
layer { bottom: "res4b8" bottom: "res4b9_branch2c" top: "res4b9" name: "res4b9" type: "Eltwise" }
layer { bottom: "res4b9" top: "res4b9" name: "res4b9_relu" type: "ReLU" }
layer { bottom: "res4b9" top: "res4b10_branch2a" name: "res4b10_branch2a" type: "Convolution"
convolution_param { num_output: 256 kernel_size: 1 pad: 0 stride: 1 bias_term: false }
param { name: "res4b10_branch2a_0" lr_mult: 1 decay_mult: 1 } }
layer { bottom: "res4b10_branch2a" top: "res4b10_branch2a" name: "bn4b10_branch2a" type: "BatchNorm"
batch_norm_param { use_global_stats: true }
param { name: "bn4b10_branch2a_0" lr_mult: 0 } param { name: "bn4b10_branch2a_1" lr_mult: 0 } param { name: "bn4b10_branch2a_2" lr_mult: 0 } }
layer { bottom: "res4b10_branch2a" top: "res4b10_branch2a" name: "scale4b10_branch2a" type: "Scale"
scale_param { bias_term: true }
param { name: "scale4b10_branch2a_0" lr_mult: 0 } param { name: "scale4b10_branch2a_1" lr_mult: 0 } }
layer { bottom: "res4b10_branch2a" top: "res4b10_branch2a" name: "res4b10_branch2a_relu" type: "ReLU" }
layer { bottom: "res4b10_branch2a" top: "res4b10_branch2b" name: "res4b10_branch2b" type: "Convolution"
convolution_param { num_output: 256 kernel_size: 3 pad: 2 dilation: 2 stride: 1 bias_term: false }
param { name: "res4b10_branch2b_0" lr_mult: 1 decay_mult: 1 } }
layer { bottom: "res4b10_branch2b" top: "res4b10_branch2b" name: "bn4b10_branch2b" type: "BatchNorm"
batch_norm_param { use_global_stats: true }
param { name: "bn4b10_branch2b_0" lr_mult: 0 } param { name: "bn4b10_branch2b_1" lr_mult: 0 } param { name: "bn4b10_branch2b_2" lr_mult: 0 } }
layer { bottom: "res4b10_branch2b" top: "res4b10_branch2b" name: "scale4b10_branch2b" type: "Scale"
scale_param { bias_term: true }
param { name: "scale4b10_branch2b_0" lr_mult: 0 } param { name: "scale4b10_branch2b_1" lr_mult: 0 } }
layer { bottom: "res4b10_branch2b" top: "res4b10_branch2b" name: "res4b10_branch2b_relu" type: "ReLU" }
layer { bottom: "res4b10_branch2b" top: "res4b10_branch2c" name: "res4b10_branch2c" type: "Convolution"
convolution_param { num_output: 1024 kernel_size: 1 pad: 0 stride: 1 bias_term: false }
param { name: "res4b10_branch2c_0" lr_mult: 1 decay_mult: 1 } }
layer { bottom: "res4b10_branch2c" top: "res4b10_branch2c" name: "bn4b10_branch2c" type: "BatchNorm"
batch_norm_param { use_global_stats: true }
param { name: "bn4b10_branch2c_0" lr_mult: 0 } param { name: "bn4b10_branch2c_1" lr_mult: 0 } param { name: "bn4b10_branch2c_2" lr_mult: 0 } }
layer { bottom: "res4b10_branch2c" top: "res4b10_branch2c" name: "scale4b10_branch2c" type: "Scale"
scale_param { bias_term: true }
param { name: "scale4b10_branch2c_0" lr_mult: 0 } param { name: "scale4b10_branch2c_1" lr_mult: 0 } }
layer { bottom: "res4b9" bottom: "res4b10_branch2c" top: "res4b10" name: "res4b10" type: "Eltwise" }
layer { bottom: "res4b10" top: "res4b10" name: "res4b10_relu" type: "ReLU" }
layer { bottom: "res4b10" top: "res4b11_branch2a" name: "res4b11_branch2a" type: "Convolution"
convolution_param { num_output: 256 kernel_size: 1 pad: 0 stride: 1 bias_term: false }
param { name: "res4b11_branch2a_0" lr_mult: 1 decay_mult: 1 } }
layer { bottom: "res4b11_branch2a" top: "res4b11_branch2a" name: "bn4b11_branch2a" type: "BatchNorm"
batch_norm_param { use_global_stats: true }
param { name: "bn4b11_branch2a_0" lr_mult: 0 } param { name: "bn4b11_branch2a_1" lr_mult: 0 } param { name: "bn4b11_branch2a_2" lr_mult: 0 } }
layer { bottom: "res4b11_branch2a" top: "res4b11_branch2a" name: "scale4b11_branch2a" type: "Scale"
scale_param { bias_term: true }
param { name: "scale4b11_branch2a_0" lr_mult: 0 } param { name: "scale4b11_branch2a_1" lr_mult: 0 } }
layer { bottom: "res4b11_branch2a" top: "res4b11_branch2a" name: "res4b11_branch2a_relu" type: "ReLU" }
layer { bottom: "res4b11_branch2a" top: "res4b11_branch2b" name: "res4b11_branch2b" type: "Convolution"
convolution_param { num_output: 256 kernel_size: 3 pad: 2 dilation: 2 stride: 1 bias_term: false }
param { name: "res4b11_branch2b_0" lr_mult: 1 decay_mult: 1 } }
layer { bottom: "res4b11_branch2b" top: "res4b11_branch2b" name: "bn4b11_branch2b" type: "BatchNorm"
batch_norm_param { use_global_stats: true }
param { name: "bn4b11_branch2b_0" lr_mult: 0 } param { name: "bn4b11_branch2b_1" lr_mult: 0 } param { name: "bn4b11_branch2b_2" lr_mult: 0 } }
layer { bottom: "res4b11_branch2b" top: "res4b11_branch2b" name: "scale4b11_branch2b" type: "Scale"
scale_param { bias_term: true }
param { name: "scale4b11_branch2b_0" lr_mult: 0 } param { name: "scale4b11_branch2b_1" lr_mult: 0 } }
layer { bottom: "res4b11_branch2b" top: "res4b11_branch2b" name: "res4b11_branch2b_relu" type: "ReLU" }
layer { bottom: "res4b11_branch2b" top: "res4b11_branch2c" name: "res4b11_branch2c" type: "Convolution"
param { name: "res4b11_branch2c_0" lr_mult: 1 decay_mult: 1 }
convolution_param { num_output: 1024 kernel_size: 1 pad: 0 stride: 1 bias_term: false } }
layer { bottom: "res4b11_branch2c" top: "res4b11_branch2c" name: "bn4b11_branch2c" type: "BatchNorm"
batch_norm_param { use_global_stats: true }
param { name: "bn4b11_branch2c_0" lr_mult: 0 } param { name: "bn4b11_branch2c_1" lr_mult: 0 } param { name: "bn4b11_branch2c_2" lr_mult: 0 } }
layer { bottom: "res4b11_branch2c" top: "res4b11_branch2c" name: "scale4b11_branch2c" type: "Scale"
scale_param { bias_term: true }
param { name: "scale4b11_branch2c_0" lr_mult: 0 } param { name: "scale4b11_branch2c_1" lr_mult: 0 } }
layer { bottom: "res4b10" bottom: "res4b11_branch2c" top: "res4b11" name: "res4b11" type: "Eltwise" }
layer { bottom: "res4b11" top: "res4b11" name: "res4b11_relu" type: "ReLU" }
layer { bottom: "res4b11" top: "res4b12_branch2a" name: "res4b12_branch2a" type: "Convolution"
param { name: "res4b12_branch2a_0" lr_mult: 1 decay_mult: 1 }
convolution_param { num_output: 256 kernel_size: 1 pad: 0 stride: 1 bias_term: false } }
layer { bottom: "res4b12_branch2a" top: "res4b12_branch2a" name: "bn4b12_branch2a" type: "BatchNorm"
batch_norm_param { use_global_stats: true }
param { name: "bn4b12_branch2a_0" lr_mult: 0 } param { name: "bn4b12_branch2a_1" lr_mult: 0 } param { name: "bn4b12_branch2a_2" lr_mult: 0 } }
layer { bottom: "res4b12_branch2a" top: "res4b12_branch2a" name: "scale4b12_branch2a" type: "Scale"
scale_param { bias_term: true }
param { name: "scale4b12_branch2a_0" lr_mult: 0 } param { name: "scale4b12_branch2a_1" lr_mult: 0 } }
layer { bottom: "res4b12_branch2a" top: "res4b12_branch2a" name: "res4b12_branch2a_relu" type: "ReLU" }
layer { bottom: "res4b12_branch2a" top: "res4b12_branch2b" name: "res4b12_branch2b" type: "Convolution"
convolution_param { num_output: 256 kernel_size: 3 pad: 2 dilation: 2 stride: 1 bias_term: false }
param { name: "res4b12_branch2b_0" lr_mult: 1 decay_mult: 1 } }
layer { bottom: "res4b12_branch2b" top: "res4b12_branch2b" name: "bn4b12_branch2b" type: "BatchNorm"
batch_norm_param { use_global_stats: true }
param { name: "bn4b12_branch2b_0" lr_mult: 0 } param { name: "bn4b12_branch2b_1" lr_mult: 0 } param { name: "bn4b12_branch2b_2" lr_mult: 0 } }
layer { bottom: "res4b12_branch2b" top: "res4b12_branch2b" name: "scale4b12_branch2b" type: "Scale"
scale_param { bias_term: true }
param { name: "scale4b12_branch2b_0" lr_mult: 0 } param { name: "scale4b12_branch2b_1" lr_mult: 0 } }
layer { bottom: "res4b12_branch2b" top: "res4b12_branch2b" name: "res4b12_branch2b_relu" type: "ReLU" }
layer { bottom: "res4b12_branch2b" top: "res4b12_branch2c" name: "res4b12_branch2c" type: "Convolution"
param { name: "res4b12_branch2c_0" lr_mult: 1 decay_mult: 1 }
convolution_param { num_output: 1024 kernel_size: 1 pad: 0 stride: 1 bias_term: false } }
layer { bottom: "res4b12_branch2c" top: "res4b12_branch2c" name: "bn4b12_branch2c" type: "BatchNorm"
batch_norm_param { use_global_stats: true }
param { name: "bn4b12_branch2c_0" lr_mult: 0 } param { name: "bn4b12_branch2c_1" lr_mult: 0 } param { name: "bn4b12_branch2c_2" lr_mult: 0 } }
layer { bottom: "res4b12_branch2c" top: "res4b12_branch2c" name: "scale4b12_branch2c" type: "Scale"
scale_param { bias_term: true }
param { name: "scale4b12_branch2c_0" lr_mult: 0 } param { name: "scale4b12_branch2c_1" lr_mult: 0 } }
layer { bottom: "res4b11" bottom: "res4b12_branch2c" top: "res4b12" name: "res4b12" type: "Eltwise" }
layer { bottom: "res4b12" top: "res4b12" name: "res4b12_relu" type: "ReLU" }
layer { bottom: "res4b12" top: "res4b13_branch2a" name: "res4b13_branch2a" type: "Convolution"
convolution_param { num_output: 256 kernel_size: 1 pad: 0 stride: 1 bias_term: false }
param { name: "res4b13_branch2a_0" lr_mult: 1 decay_mult: 1 } }
layer { bottom: "res4b13_branch2a" top: "res4b13_branch2a" name: "bn4b13_branch2a" type: "BatchNorm"
batch_norm_param { use_global_stats: true }
param { name: "bn4b13_branch2a_0" lr_mult: 0 } param { name: "bn4b13_branch2a_1" lr_mult: 0 } param { name: "bn4b13_branch2a_2" lr_mult: 0 } }
layer { bottom: "res4b13_branch2a" top: "res4b13_branch2a" name: "scale4b13_branch2a" type: "Scale"
scale_param { bias_term: true }
param { name: "scale4b13_branch2a_0" lr_mult: 0 } param { name: "scale4b13_branch2a_1" lr_mult: 0 } }
layer { bottom: "res4b13_branch2a" top: "res4b13_branch2a" name: "res4b13_branch2a_relu" type: "ReLU" }
layer { bottom: "res4b13_branch2a" top: "res4b13_branch2b" name: "res4b13_branch2b" type: "Convolution"
convolution_param { num_output: 256 kernel_size: 3 pad: 2 dilation: 2 stride: 1 bias_term: false }
param { name: "res4b13_branch2b_0" lr_mult: 1 decay_mult: 1 } }
layer { bottom: "res4b13_branch2b" top: "res4b13_branch2b" name: "bn4b13_branch2b" type: "BatchNorm"
batch_norm_param { use_global_stats: true }
param { name: "bn4b13_branch2b_0" lr_mult: 0 } param { name: "bn4b13_branch2b_1" lr_mult: 0 } param { name: "bn4b13_branch2b_2" lr_mult: 0 } }
layer { bottom: "res4b13_branch2b" top: "res4b13_branch2b" name: "scale4b13_branch2b" type: "Scale"
scale_param { bias_term: true }
param { name: "scale4b13_branch2b_0" lr_mult: 0 } param { name: "scale4b13_branch2b_1" lr_mult: 0 } }
layer { bottom: "res4b13_branch2b" top: "res4b13_branch2b" name: "res4b13_branch2b_relu" type: "ReLU" }
layer { bottom: "res4b13_branch2b" top: "res4b13_branch2c" name: "res4b13_branch2c" type: "Convolution"
convolution_param { num_output: 1024 kernel_size: 1 pad: 0 stride: 1 bias_term: false }
param { name: "res4b13_branch2c_0" lr_mult: 1 decay_mult: 1 } }
layer { bottom: "res4b13_branch2c" top: "res4b13_branch2c" name: "bn4b13_branch2c" type: "BatchNorm"
batch_norm_param { use_global_stats: true }
param { name: "bn4b13_branch2c_0" lr_mult: 0 } param { name: "bn4b13_branch2c_1" lr_mult: 0 } param { name: "bn4b13_branch2c_2" lr_mult: 0 } }
layer { bottom: "res4b13_branch2c" top: "res4b13_branch2c" name: "scale4b13_branch2c" type: "Scale"
scale_param { bias_term: true }
param { name: "scale4b13_branch2c_0" lr_mult: 0 } param { name: "scale4b13_branch2c_1" lr_mult: 0 } }
layer { bottom: "res4b12" bottom: "res4b13_branch2c" top: "res4b13" name: "res4b13" type: "Eltwise" }
layer { bottom: "res4b13" top: "res4b13" name: "res4b13_relu" type: "ReLU" }
layer { bottom: "res4b13" top: "res4b14_branch2a" name: "res4b14_branch2a" type: "Convolution"
convolution_param { num_output: 256 kernel_size: 1 pad: 0 stride: 1 bias_term: false }
param { name: "res4b14_branch2a_0" lr_mult: 1 decay_mult: 1 } }
layer { bottom: "res4b14_branch2a" top: "res4b14_branch2a" name: "bn4b14_branch2a" type: "BatchNorm"
batch_norm_param { use_global_stats: true }