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SegNeXt: Rethinking Convolutional Attention Design for Semantic Segmentation (NeurIPS 2022)

The repository contains official Jittor implementations of training and evaluation codes and pre-trained models for SegNext.

The paper is in Here.

Notes: ImageNet Pre-trained models can be found in Jittor Hub mscan_t,mscan_s, mscan_b, mscan_l.

ADE20K

Method Backbone Pretrained Iters mIoU(ss/ms) Params FLOPs Config Download
SegNeXt MSCAN-T IN-1K 160K 41.4/42.2 4M 7G config Jittor Hub
SegNeXt MSCAN-S IN-1K 160K 44.3/45.8 14M 16G config Jittor Hub
SegNeXt MSCAN-B IN-1K 160K 48.5/49.9 28M 35G config Jittor Hub
SegNeXt MSCAN-L IN-1K 160K 51.0/52.1 49M 70G config Jittor Hub

Cityscapes

Method Backbone Pretrained Iters mIoU(ss/ms) Params FLOPs Config Download
SegNeXt MSCAN-T IN-1K 160K 79.8/81.4 4M 56G config Jittor Hub
SegNeXt MSCAN-S IN-1K 160K 81.3/82.7 14M 125G config Jittor Hub
SegNeXt MSCAN-B IN-1K 160K 82.6/83.8 28M 276G config Jittor Hub
SegNeXt MSCAN-L IN-1K 160K 83.2/83.9 49M 578G config Jittor Hub

iSAID

Method Backbone Pretrained Iters mIoU(ss) Params FLOPs Config Download
SegNeXt MSCAN-T IN-1K 160K 68.3 4M - config Jittor Hub
SegNeXt MSCAN-S IN-1K 160K 68.8 14M - config Jittor Hub
SegNeXt MSCAN-B IN-1K 160K 69.9 28M - config Jittor Hub
SegNeXt MSCAN-L IN-1K 160K 70.3 49M - config Jittor Hub