TOOD: Task-aligned One-stage Object Detection
TOOD is an object detection model. We reproduced the model of the paper.
Backbone | Model | Images/GPU | Inf time (fps) | Box AP | Config | Download |
---|---|---|---|---|---|---|
R-50 | TOOD | 4 | --- | 42.8 | config | model |
Notes:
- TOOD is trained on COCO train2017 dataset and evaluated on val2017 results of
mAP(IoU=0.5:0.95)
. - TOOD uses 8GPU to train 12 epochs.
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/tood/tood_r50_fpn_1x_coco.yml --fleet
@inproceedings{feng2021tood,
title={TOOD: Task-aligned One-stage Object Detection},
author={Feng, Chengjian and Zhong, Yujie and Gao, Yu and Scott, Matthew R and Huang, Weilin},
booktitle={ICCV},
year={2021}
}