Awesome
SwinNet: Swin Transformer drives edge-aware RGB-D and RGB-T salient object detection
The paper has been online published by IEEE Transactions on Circuits and Systems for Video Technology.
The details are in http://arxiv.org/abs/2204.05585
DOI: https://dx.doi.org/10.1109/TCSVT.2021.3127149
Revision:paper
Training Set
2185 https://drive.google.com/file/d/1fcJj4aYdJ6N-TvvxSZ_sBo-xhtd_w-eJ/view?usp=sharing
2985 https://drive.google.com/file/d/1mYjaT_FTlY4atd-c0WdQ-0beZIpf8fgh/view?usp=sharing
Testing Set
Google https://drive.google.com/file/d/1dQWrhO-LHVACDKCTrvdc6eIbcyH7Yzp_/view?usp=sharing
Baidu:https://pan.baidu.com/s/1fN-AsBiKTbMRsye0Lr8K7g 提取码:l2u9
Pretraining Parameter
Swin Transformer Parameter: https://github.com/SwinTransformer/storage/releases/download/v1.0.0/swin_base_patch4_window12_384_22k.pth
Our RGB-D SOD Parameters:
Google: https://drive.google.com/file/d/1amFbdnGefUaej1NMb2EOVgsMoQ4zabe_/view?usp=sharing
Baidu:https://pan.baidu.com/s/1ouefnVNRfUwck3zNV9J2Dw 提取码:c4ix
Our RGB-T SOD Parameter:
Google: https://drive.google.com/file/d/1rD19-p7M2bv0btjZ11DoZZ3zY9qxXp03/view?usp=sharing
Baidu:https://pan.baidu.com/s/1xuDNtr3x-Foi-o9QaYMWuw 提取码:nqh2
RGBD Result Saliency Maps
Google: https://drive.google.com/file/d/1tiHhSPocBZR3rO6XxIZm3ICHMQxRngci/view?usp=sharing
Baidu:https://pan.baidu.com/s/1jGL47H9hucbTxrNvj2uRXw 提取码:4gas
RGBT Result Saliency Maps
Google: https://drive.google.com/file/d/1r072vcAtA7UHprRo1K1clLEZzDYAXCKc/view?usp=sharing
Baidu:https://pan.baidu.com/s/1nneg3IIHi62NebLdyI7M-w 提取码:9pde
Evaluation Code
Google: https://drive.google.com/file/d/1-fXbORnXNVfvm7uarXLX6w9PuVhs-25d/view?usp=sharing
Baidu:https://pan.baidu.com/s/1EtKTNVPQAW_iLm8pA1POmQ 提取码:86gt
Citation
If you find the information useful, please consider citing:
@article{liu2022,
author={Liu, Zhengyi and Tan, Yacheng and He, Qian and Xiao, Yun},
journal={IEEE Transactions on Circuits and Systems for Video Technology},
title={SwinNet: Swin Transformer drives edge-aware RGB-D and RGB-T salient object detection},
volume={32},
number={7},
pages={4486--4497},
year={2022}}
If you have any question, please email liuzywen@ahu.edu.cn