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Progressively Complementarity-Aware Fusion Network for RGB-D Salient Object Detection
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Measured effects reported in the paper
| What was changed | Where | Measured | Effect |
|---|---|---|---|
| Add cross-modal residual connections and complementarity-aware supervision through CA-Fuse instead of the Fig. 3(b) fusion module (ablation) | Progressively complementarity-aware fusion network · NLPR | F-measure: 0.836 -> 0.850 | Helped |
| Add cross-modal residual connections and complementarity-aware supervision through CA-Fuse instead of the Fig. 3(b) fusion module (ablation) | Progressively complementarity-aware fusion network · NJUD | F-measure: 0.845 -> 0.862 | Helped |
| Add cross-modal residual connections and complementarity-aware supervision through CA-Fuse instead of the Fig. 3(b) fusion module (ablation) | Progressively complementarity-aware fusion network · STEREO | F-measure: 0.864 -> 0.872 | Helped |
Closest papers by meaning
- JL-DCF: Joint Learning and Densely-Cooperative Fusion Framework for RGB-D Salient Object Detection (CVPR 2020 · similarity 0.90)
- RGB-D Salient Object Detection via 3D Convolutional Neural Networks (AAAI 2021 · similarity 0.90)
- Contrast Prior and Fluid Pyramid Integration for RGBD Salient Object Detection (CVPR 2019 · similarity 0.90)
- DiMSOD: A Diffusion-Based Framework for Multi-Modal Salient Object Detection (AAAI 2025 · similarity 0.89)
- SMR-Net: Semantic-Guided Mutually Reinforcing Network for Cross-Modal Image Fusion and Salient Object Detection (AAAI 2025 · similarity 0.88)
- Alignment-Free RGB-T Salient Object Detection: A Large-Scale Dataset and Progressive Correlation Network (AAAI 2025 · similarity 0.87)
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