Research map / Video / Video segmentation and tracking
SCOTCH and SODA: A Transformer Video Shadow Detection Framework
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Measured effects reported in the paper
| What was changed | Where | Measured | Effect |
|---|---|---|---|
| add SODA instead of trajectory attention (ablation) | MiT video shadow detector · ViSha | BER: 12.35 -> 10.55 | Helped |
| add SODA to the MiT baseline (ablation) | MiT video shadow detector · ViSha | BER: 13.18 -> 10.55 | Helped |
| add trajectory attention to the MiT baseline (ablation) | MiT video shadow detector · ViSha | BER: 13.18 -> 12.35 | Helped |
| add SCOTCH shadow-level contrastive loss (ablation) | MiT video shadow detector · ViSha | BER: 13.18 -> 12.02 | Helped |
| add image-level contrastive loss (ablation) | MiT video shadow detector · ViSha | BER: 13.18 -> 12.85 | Helped |
| replace image-level contrast with SCOTCH shadow-level contrast (ablation) | MiT video shadow detector · ViSha | BER: 12.85 -> 12.02 | Helped |
| add both SODA and SCOTCH (ablation) | MiT video shadow detector · ViSha | BER: 13.18 -> 9.066 | Helped |
| use SCOTCH and SODA rather than SC-Cor | ViSha video shadow detection · ViSha | IoU: 0.615 -> 0.640 | Helped |
Closest papers by meaning
- Triple-Cooperative Video Shadow Detection (CVPR 2021 · similarity 0.89)
- DTTNet: Improving Video Shadow Detection via Dark-Aware Guidance and Tokenized Temporal Modeling (AAAI 2026 · similarity 0.87)
- Video Shadow Detection via Spatio-Temporal Interpolation Consistency Training (CVPR 2022 · similarity 0.85)
- Distraction-Aware Shadow Detection (CVPR 2019 · similarity 0.85)
- DeS3: Adaptive Attention-Driven Self and Soft Shadow Removal Using ViT Similarity (AAAI 2024 · similarity 0.83)
- MetaShadow: Object-Centered Shadow Detection, Removal, and Synthesis (CVPR 2025 · similarity 0.82)
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