Awesome
Boosting Camouflaged Object Detection with Dual-Task Interactive Transformer
The paper has been accepted by ICPR 2022.
Training Set
链接:https://pan.baidu.com/s/18cZ-abLH7Aj8019qiRmnig 提取码:1o95
Testing Set
链接:https://pan.baidu.com/s/10DTlZFEHoXIsdMRgqdRsyA 提取码:6rcd
PVT backbone
链接:https://pan.baidu.com/s/1D4hjFBNjMFbJTD5_Ra_1Kw 提取码:xc84
Parameters
链接:https://pan.baidu.com/s/1NHV0eYQ_waB9Epj_3u3FyQ 提取码:rlcw
Code
链接:https://pan.baidu.com/s/1pXyDq9IMG4K-29mzrCDH7A 提取码:k1yx
Result Map
链接:https://pan.baidu.com/s/15RP5Kynt4utg9jfWkDNGuw 提取码:db3v
Citation
If you find the information useful, please consider citing:
@inproceedings{liu2022boosting,
title={Boosting Camouflaged Object Detection with Dual-Task Interactive Transformer},
author={Liu, Zhengyi and Zhang, Zhili and Tan, Yacheng and Wu, Wei},
booktitle={2022 26th International Conference on Pattern Recognition (ICPR)},
pages={140--146},
year={2022},
organization={IEEE}
}
If you have any question, please email liuzywen@ahu.edu.cn