MaochengHu 576cda45b8 first commit | 2 anni fa | |
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_base_ | 2 anni fa | |
README.md | 2 anni fa | |
deformable_detr_r50_1x_coco.yml | 2 anni fa |
Deformable DETR is an object detection model based on DETR. We reproduced the model of the paper.
Backbone | Model | Images/GPU | Inf time (fps) | Box AP | Config | Download |
---|---|---|---|---|---|---|
R-50 | Deformable DETR | 2 | --- | 44.1 | config | model |
Notes:
mAP(IoU=0.5:0.95)
.GPU multi-card training
export CUDA_VISIBLE_DEVICES=0,1,2,3,4,5,6,7
python -m paddle.distributed.launch --gpus 0,1,2,3,4,5,6,7 tools/train.py -c configs/deformable_detr/deformable_detr_r50_1x_coco.yml --fleet
@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}
}