Code and dataset repository for our paper entilted "Alignment-Free RGB-T Salient Object Detection: A Large-scale Dataset and Progressive Correlation Network" accepted at AAAI 2025.
arXiv version: https://arxiv.org/pdf/2412.14576.
The model and results are available now. [17th, Jul, 2025]
Thank you for your attention.
The compressed UVT20K dataset containing the annotations of saliency maps, edges, scribbles, and challenge attributes can be found here. [baidu pan fetch code: v2rc]
The predicted results of our models can be found here. [baidu pan fetch code: nhau]
The parameters of our models can be found here. [baidu pan fetch code: bz6x]
The predicted results of the comparison methods can be found here. [baidu pan fetch code: 3kru]
If you think our work is helpful, please cite:
@inproceedings{wang2025alignment,
title={Alignment-Free RGB-T Salient Object Detection: A Large-scale Dataset and Progressive Correlation Network},
author={Wang, Kunpeng and Chen, Keke and Li, Chenglong and Tu, Zhengzheng and Luo, Bin},
booktitle={Proceedings of the AAAI Conference on Artificial Intelligence},
volume={39},
number={7},
pages={7780--7788},
year={2025}
}
The implement of this project is based on the following link.
If you have any questions, please contact us (kp.wang@foxmail.com).