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Bridging Cross-task Protocol Inconsistency for Distillation in Dense Object Detection

Introduction

This repository is the official implementation of ICCV2023: Bridging Cross-task Protocol Inconsistency for Distillation in Dense Object Detection.

News and ToDo List

[2023-09-01] Release checkpoints and logs
[2023-08-28] Release paper and code
[2023-07-14] Accepted by ICCV2023 🎉
[2023-04-07] Publish initial code

Install

This repo is build on mmdetection 2.28.2

Please refer this link to build the environment (mmcv...).

Then execute the following command to install.

git clone https://github.com/TinyTigerPan/BCKD.git
cd BCKD
pip install -v -e .

Train

For single GPU

python tools/train.py configs/bckd/bckd_r50_gflv1_r101_fpn_coco_1x.py

For multi GPU

bash tools/dist_train.sh configs/bckd/bckd_r50_gflv1_r101_fpn_coco_1x.py 8

Eval

For single GPU

python tools/test.py config_file ckpt_file --eval bbox

For multi GPU

bash tools/dist_test.sh configs_file ckpt_file 8

Result

Teacher	Student	Schedule	mAP	download
	GFocal-R50	1x	40.1
GFocal-R101	GFocal-R50	1x	43.2	log \| ckpt
	GFocal-R34	1x	38.9
GFocal-R101	GFocal-R34	1x	42.0	log \| ckpt
	GFocal-R18	1x	35.8
GFocal-R101	GFocal-R18	1x	38.6	log \| ckpt

Cite

@InProceedings{Yang_2023_ICCV,
    author    = {Yang, Longrong and Zhou, Xianpan and Li, Xuewei and Qiao, Liang and Li, Zheyang and Yang, Ziwei and Wang, Gaoang and Li, Xi},
    title     = {Bridging Cross-task Protocol Inconsistency for Distillation in Dense Object Detection},
    booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)},
    month     = {October},
    year      = {2023},
    pages     = {17175-17184}
}