A resource collection of RGBT salient object detection.

1. A Unified RGB-T Saliency Detection Benchmark: Dataset, Baselines, Analysis and A Novel Approach.
2. RGB-T Image Saliency Detection via Collaborative Graph Learning.
3. M3S-NIR: Multi-Modal Multi-Scale Noise-Insensitive Ranking for RGB-T Saliency Detection.
4. Multi-Interactive Dual-Decoder for RGB-Thermal Salient Object Detection.
5. RGBT Salient Object Detection: A Large-scale Dataset and Benchmark.

All the paper can be downloaded at https://pan.baidu.com/s/1IHHwHTh1In3dlWMKNtCK6A [evls]

• VT821 https://pan.baidu.com/s/1ksuUr3cr6_-fZAsSUp0n0w [9yqv]

• VT1000 https://pan.baidu.com/s/1i7gfrHoaaRuateMXBxvmMw [tb6l]

• VT5000 https://pan.baidu.com/s/196S1GcnI56Vn6fLO3oXb5Q [y9jj]

• Saliency maps in all datasets: https://pan.baidu.com/s/1nmooebYg31R8Z6p3cxb7sA [aki9]

• Saliency maps in all datasets: https://pan.baidu.com/s/1nqa5jLGp82oSR16TPMOIDw [d121]

• The pretrained FCN model can be downloaded at：https://pan.baidu.com/s/1t7zqoO0f-e7P2yDfhvwuiw [utq1]

• Saliency maps in all datasets: https://pan.baidu.com/s/1N_Y9apeyBcGdS4BzkZQryg [jnt0]

• The pretrained model(VGG16) and the saved model can be downloaded at https://pan.baidu.com/s/1IE1H99EyVcAzpDwmDdDNYw [0cs2]

• Saliency maps in all datasets: https://pan.baidu.com/s/17vugADwbbMzgncUutpZjGw [9w8p]

• Project https://github.com/lz118/Multi-interactive-Dual-decoder