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Inferring Attention Shift Ranks of Objects for Image Saliency
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Measured effects reported in the paper
| What was changed | Where | Measured | Effect |
|---|---|---|---|
| use the proposed attention-shift rank model instead of RSDNet | Saliency rank prediction · Saliency rank dataset test | SOR: 0.728 -> 0.792 | Helped |
| use the proposed attention-shift rank model instead of S4Net | Saliency rank prediction · Saliency rank dataset test | SOR: 0.891 -> 0.792 | Hurt |
| use the proposed model instead of CPD-R | Saliency rank prediction · Saliency rank dataset test | MAE: 0.100 -> 0.101 | Hurt |
| add SAM to the backbone and rank network (ablation) | BbSR · Saliency rank dataset test | SOR: 0.773 -> 0.782 | Helped |
| add SAM to the backbone and rank network (ablation) | BbSR · Saliency rank dataset test | MAE: 0.109 -> 0.101 | Helped |
| add SMM to the backbone and rank network (ablation) | BbSR · Saliency rank dataset test | SOR: 0.773 -> 0.769 | Hurt |
| add SMM to the backbone and rank network (ablation) | BbSR · Saliency rank dataset test | MAE: 0.109 -> 0.111 | Hurt |
| add SMM to a model with SAM (ablation) | BbSR+SAM · Saliency rank dataset test | SOR: 0.782 -> 0.792 | Helped |
| add SMM to a model with SAM (ablation) | BbSR+SAM · Saliency rank dataset test | MAE: 0.101 -> 0.101 | No clear effect |
Closest papers by meaning
- SeqRank: Sequential Ranking of Salient Objects (AAAI 2024 · similarity 0.90)
- Language-Guided Salient Object Ranking (CVPR 2025 · similarity 0.89)
- CaRDiff: Video Salient Object Ranking Chain of Thought Reasoning for Saliency Prediction with Diffusion (AAAI 2025 · similarity 0.88)
- Advancing Saliency Ranking with Human Fixations: Dataset Models and Benchmarks (CVPR 2024 · similarity 0.87)
- A Motion-aware Spatio-temporal Graph for Video Salient Object Ranking (NeurIPS 2024 · similarity 0.87)
- Unifying Top-down and Bottom-up Scanpath Prediction Using Transformers (CVPR 2024 · similarity 0.86)
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