PATNet: Patch-to-pixel Attention-aware Transformer Network for RGB-D and RGB-T Salient Object Detection

Datasets

The training and testing datasets for RGBD and RGBT can be downloaded from the following links.

RGBD,RGBT

Pretraining Parameter

Backbone P2T weights: https://github.com/yuhuan-wu/P2T

RGBD: BaiduYun[8egc], Google Drive

RGBT: BaiduYun[7rjj], Google Drive

RGB-D Saliency map

BaiduYun[98vm], Google Drive

RGB-T Saliency map

BaiduYun[26rd], Google Drive

validation

The validation set is a randomly selected image from the test set BaiduYun[s2ne], Google Drive

If you think this work is helpful, please cite

@article{jiang2024patnet,
  title={PATNet: Patch-to-pixel attention-aware transformer network for RGB-D and RGB-T salient object detection},
  author={Jiang, Mingfeng and Ma, Jianhua and Chen, Jiatong and Wang, Yaming and Fang, Xian},
  journal={Knowledge-Based Systems},
  volume={291},
  pages={111597},
  year={2024},
  publisher={Elsevier}
}