Research map / Video / Action recognition
Temporal Segmentation of Fine-gained Semantic Action: A Motion-Centered Figure Skating Dataset
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Measured effects reported in the paper
| What was changed | Where | Measured | Effect |
|---|---|---|---|
| Use Skeleton features instead of I3D features with SSTDA | SSTDA on MCFS-4 · MCFS-4 | F1@10: 75.8 -> 88.7 | Helped |
| Use Skeleton features instead of I3D features with SSTDA | SSTDA on MCFS-22 · MCFS-22 | F1@10: 52.7 -> 76.7 | Helped |
| Use Skeleton features instead of I3D features with SSTDA | SSTDA on MCFS-130 · MCFS-130 | F1@50: 24.6 -> 49.8 | Helped |
| Use Skeleton features instead of I3D features with MS-TCN | MS-TCN on MCFS-22 · MCFS-22 | F1@10: 49.4 -> 74.3 | Helped |
| Use Skeleton features instead of I3D features with MS-TCN | MS-TCN on MCFS-130 · MCFS-130 | F1@10: 36.6 -> 56.4 | Helped |
| Increase label granularity from 4 sets to 22 subsets | SSTDA with Skeleton features · MCFS-4 versus MCFS-22 | F1@10: 88.7 -> 76.7 | Hurt |
| Increase label granularity from 22 subsets to 130 elements | SSTDA with Skeleton features · MCFS-22 versus MCFS-130 | F1@10: 76.7 -> 63.8 | Hurt |
Closest papers by meaning
- Understanding Multi-Task Activities from Single-Task Videos (CVPR 2025 · similarity 0.87)
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- OnlineTAS: An Online Baseline for Temporal Action Segmentation (NeurIPS 2024 · similarity 0.85)
- Part-aware Unified Representation of Language and Skeleton for Zero-shot Action Recognition (CVPR 2024 · similarity 0.84)
- Stitch, Contrast, and Segment: Learning a Human Action Segmentation Model Using Trimmed Skeleton Videos (AAAI 2025 · similarity 0.84)
- FACT: Frame-Action Cross-Attention Temporal Modeling for Efficient Action Segmentation (CVPR 2024 · similarity 0.84)
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