Research map / Video / Action recognition
UCF-STAR: A Large Scale Still Image Dataset for Understanding Human Actions
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Measured effects reported in the paper
| What was changed | Where | Measured | Effect |
|---|---|---|---|
| add the predicted dynamic-skeleton temporal stream to the spatial stream (ablation) | TSSTN · UCF-STAR test | mAP (%): 26.3 -> 91.9 | Helped |
| add the spatial stream to the temporal stream (ablation) | TSSTN · UCF-STAR test | mAP (%): 86.2 -> 91.9 | Helped |
| fine-tune only top 7 layers instead of all layers in the temporal stream (ablation) | temporal stream · UCF-STAR test | mAP (%): 68.3 -> 86.2 | Helped |
| fine-tune a pretrained network instead of training the temporal stream from scratch (ablation) | temporal stream · UCF-STAR test | mAP (%): 61.3 -> 86.2 | Helped |
| use custom top-k loss instead of default softmax loss for ds prediction (ablation) | dynamic-skeleton predictor · predicted ds mAP, 500 epochs | mAP: 76% -> 83% | Helped |
| fine-tune VGG instead of training ds predictor from scratch (ablation) | dynamic-skeleton predictor · predicted ds mAP, 500 epochs | mAP: 65% -> 76% | Helped |
| TSSTN vs prior still-image methods | TSSTN · UCF-STAR test | mAP (%): 70.9 -> 91.9 | Helped |
| TSSTN vs best prior on Stanford-40 (all classes) | TSSTN · Stanford-40 (All) | mAP (%): 90.9 -> 86.3 | Hurt |
| TSSTN on body-motion vs non-body-motion Stanford-40 classes compared with Gkioxari et al. | TSSTN · Stanford-40 | mAP (%): 93.87 -> 97.8 (body-motion); 89.73 -> 80.2 (non-body-motion) | Mixed |
| TSSTN vs best prior on Willow body-motion | TSSTN · Willow overall | mAP (%): 79.3 -> 84.6 | Helped |
| TSSTN vs best prior on WIDER | TSSTN · WIDER body-motion | mAP (%): 86.2 -> 90.3 | Helped |
Closest papers by meaning
- Taylor Videos for Action Recognition (ICML 2024 · similarity 0.87)
- VA-AR: Learning Velocity-Aware Action Representations with Mixture of Window Attention (AAAI 2025 · similarity 0.86)
- Part-aware Unified Representation of Language and Skeleton for Zero-shot Action Recognition (CVPR 2024 · similarity 0.86)
- H-MoRe: Learning Human-centric Motion Representation for Action Analysis (CVPR 2025 · similarity 0.86)
- Temporal Alignment-Free Video Matching for Few-shot Action Recognition (CVPR 2025 · similarity 0.86)
- ActionAtlas: A VideoQA Benchmark for Domain-specialized Action Recognition (NeurIPS 2024 · similarity 0.86)
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