Home

Awesome

MFDF

We proposed a lightweight multi-level feature difference fusion network (MFDF) for real-time RGB-D-T SOD. MFDF has a faster speed (124 FPS when the image size is 320 × 320) and much fewer parameters (8.9 M). MFDF

Download the dataset and code

The source code are available at: https://pan.baidu.com/s/16Kyik8IhbU6Y2tYkvRR1Uw?pwd=3oia

Paper

2023-Lightweight multi-level feature difference fusion network for RGB-D-T salient object detection.pdf

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] 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

Related Work of RGB-D/T Few-shot Semantic Segmentation

[1] Self-Enhanced Mixed Attention Network for Three-Modal Images Few-Shot Semantic Segmentation. Sensors 2023, 23, 6612. https://github.com/VDT-2048/SEMA

[2] Visible and Thermal Images Fusion Architecture for Few-shot Semantic Segmentation [J]. Journal of Visual Communication and Image Representation, 2021, 80, 103306. https://github.com/bbbbby-99/V-T-few-shot-semantic-segmentation

[3] BMDENet: Bi-directional Modality Difference Elimination Network for Few-shot RGB-T Semantic Segmentation [J]. IEEE Transactions on Circuits and Systems II Express Briefs, 2023 https://github.com/VDT-2048/BMDENet