README.md

EDS dataset and the code implementation of PSN

CVPR 2022 paper 《Exploring Endogenous Shift for Cross-domain Detection: A Large-scale Benchmark and Perturbation Suppression Network》

Download Link of EDS Dataset:

(China mainland, BaiduNetdisk)：https://pan.baidu.com/s/1IzjPsoCowr2MYKbuOXuqUg (password：buaa) (Other area, Google Drive): https://drive.google.com/file/d/17ids6mpIKpc_g67_CKC8aUnRDMeo6wxa/view?usp=sharing

Prerequisites

• Python 3.6
• Pytorch 0.4.1
• CUDA 8.0 or higher

Compile

pip install -r requirements.txt
cd lib
sh make.sh

Training

The scripts folder has all the training scripts. For example, if you want to train an experiment from domain1 to domain2, just run:

sh scripts/train-1-2-fc.sh

Testing

The scripts folder has all the testing scripts. For example, if you want to test a model trained from domain1 to domain2, just run:

sh scripts/test-all-1-2.sh

Citation

If this work helps your research, please cite the following paper.

@inproceedings{Tao:CVPR22,
  author    = {Renshuai Tao and Hainan Li and Tianbo Wang and Yanlu Wei and Yifu Ding and Bowei Jin and, Hongping Zhi and Xianglong Liu and Aishan Liu},
  title     = {Exploring Endogenous Shift for Cross-domain Detection: A Large-scale Benchmark and Perturbation Suppression Network},
  booktitle = {IEEE CVPR},
  year      = {2022},
  }