We provide the config files for Deformable DETR: Deformable DETR: Deformable Transformers for End-to-End Object Detection.
@inproceedings{
zhu2021deformable,
title={Deformable DETR: Deformable Transformers for End-to-End Object Detection},
author={Xizhou Zhu and Weijie Su and Lewei Lu and Bin Li and Xiaogang Wang and Jifeng Dai},
booktitle={International Conference on Learning Representations},
year={2021},
url={https://openreview.net/forum?id=gZ9hCDWe6ke}
}
Backbone | Model | Lr schd | box AP | Config | Download |
---|---|---|---|---|---|
R-50 | Deformable DETR | 50e | 44.5 | config | model | log |
R-50 | + iterative bounding box refinement | 50e | 46.1 | config | model | log |
R-50 | ++ two-stage Deformable DETR | 50e | 46.8 | config | model | log |
- All models are trained with batch size 32.
- The performance is unstable.
Deformable DETR
anditerative bounding box refinement
may fluctuate about 0.3 mAP.two-stage Deformable DETR
may fluctuate about 0.2 mAP.