TAGFNet
The current RGB-T datasets contain only a tiny amount of low-illumination data. The RGB-T SOD method trained based on these RGB-T datasets does not detect the salient objects in extremely low-illumination scenes very well. To improve the detection performance of low-illumination data, we can spend a lot of labor to label low-illumination data, but we tried another new idea to solve the problem by making full use of the characteristics of Thermal (T) images. Therefore, we propose a T-aware guided early fusion network for cross-illumination salient object detection.
Download the dataset and code
The dataset and code are available at:https://pan.baidu.com/s/1wp_SlfP4iHs-X1-2PC0Pdw?pwd=sp3o
Paper
https://www.sciencedirect.com/science/article/abs/pii/S0952197622006303
Citation
Wang H, Song K, Huang L, et al. Thermal images-aware guided early fusion network for cross-illumination RGB-T salient object detection[J]. Engineering Applications of Artificial Intelligence, 2023, 118: 105640.
Related Work of Visible-Depth-Thermal Salient Object Detection
[1] A Novel Visible-Depth-Thermal Image Dataset of Salient Object Detection for Robotic Visual Perception [J]. IEEE/ASME Transactions on Mechatronics, 2023, 28(3), 1558-1569. https://github.com/VDT-2048/VDT-Dataset
[2] Lightweight Multi-level Feature Difference Fusion Network for RGB-D-T Salient Object Detection [J]. Journal of King Saud University - Computer and Information Sciences, 2023 https://github.com/VDT-2048/MFDF
[3] MFFNet: Multi-modal Feature Fusion Network for VDT Salient Object Detection[J]. IEEE Transactions on Multimedia, 2023. https://ieeexplore.ieee.org/abstract/document/10171982
Related Work of RGB-T Salient Object Detection
[1] Multiple Graph Affinity Interactive Network and A Variable Illumination Dataset for RGBT Image Salient Object Detection [J]. IEEE Transactions on Circuits and Systems for Video Technology, 2023, 33(7), 3104-3118. https://github.com/huanglm-me/VI-RGBT1500
Related Survey
RGB-T Image Analysis Technology and Application: A Survey [J]. Engineering Applications of Artificial Intelligence, 2023, 120, 105919. https://www.sciencedirect.com/science/article/abs/pii/S0952197623001033