Research map / Video / Video segmentation and tracking
Triple-Cooperative Video Shadow Detection
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Measured effects reported in the paper
| What was changed | Where | Measured | Effect |
|---|---|---|---|
| use TVSD-Net instead of the strongest listed baseline for each metric | Video shadow detection · Total ViSha | MAE: 0.040 -> 0.033 | Helped |
| combine hinge loss and BCE loss instead of using hinge loss alone (ablation) | TVSD-Net · Total ViSha | Fβ: 0.720 -> 0.757 | Helped |
| combine hinge loss and BCE loss instead of using BCE loss alone (ablation) | TVSD-Net · Total ViSha | Fβ: 0.727 -> 0.757 | Helped |
| add the dual-gated mechanism (ablation) | TVSD-Net · Total ViSha | IoU: 0.540 -> 0.567 | Helped |
| add the dual-gated mechanism (ablation) | TVSD-Net · Total ViSha | BER: 19.55 -> 17.70 | Helped |
Closest papers by meaning
- SCOTCH and SODA: A Transformer Video Shadow Detection Framework (CVPR 2023 · similarity 0.89)
- DTTNet: Improving Video Shadow Detection via Dark-Aware Guidance and Tokenized Temporal Modeling (AAAI 2026 · similarity 0.89)
- DeS3: Adaptive Attention-Driven Self and Soft Shadow Removal Using ViT Similarity (AAAI 2024 · similarity 0.87)
- MetaShadow: Object-Centered Shadow Detection, Removal, and Synthesis (CVPR 2025 · similarity 0.85)
- DiMSOD: A Diffusion-Based Framework for Multi-Modal Salient Object Detection (AAAI 2025 · similarity 0.84)
- When Shadow Removal Meets Intrinsic Image Decomposition: A Joint Learning Framework Using Unpaired Data (AAAI 2025 · similarity 0.84)
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