Research map / Video / Action recognition
Action Genome: Actions As Compositions of Spatio-Temporal Scene Graphs
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Measured effects reported in the paper
| What was changed | Where | Measured | Effect |
|---|---|---|---|
| Add spatio-temporal scene graph feature banks to LFB-style action recognition | Action recognition on Charades · Charades validation | mAP: +1.8% mAP | Helped |
| Use ground-truth scene graphs instead of predicted scene graphs (ablation) | SGFB · Charades validation | mAP: 16% increase on mAP | Helped |
| Add spatio-temporal scene graph features | Few-shot action recognition · Charades novel classes, 1-shot, 5-shot, and 10-shot | mAP: 28.3 vs 28.8; 36.3 vs 37.9; 39.6 vs 42.7 | Helped |
| Use ground-truth scene graphs instead of predicted scene graphs (ablation) | SGFB few-shot recognition · Charades novel classes, 10-shot | mAP: 10.9% 10-shot mAP improvement | Helped |
| Use video frames rather than single images as input | RelDN scene graph prediction · Action Genome, PredCls, SGCls, and SGGen | Recall at 20 and 50: PredCls R@20: 49.37 -> 48.80; R@50: 49.58 -> 48.98; SGCls R@20: 46.74 -> 46.19; R@50: 49.36 -> 48.76; SGGen R@20: 35.61 | Hurt |
Closest papers by meaning
- MOMA: Multi-Object Multi-Actor Activity Parsing (NeurIPS 2021 · similarity 0.89)
- AVA: A Video Dataset of Spatio-Temporally Localized Atomic Visual Actions (CVPR 2018 · similarity 0.89)
- Learning to Evolve Scenes: Reasoning about Human Activities with Scene Graphs (NeurIPS 2026 · similarity 0.88)
- FACT: Frame-Action Cross-Attention Temporal Modeling for Efficient Action Segmentation (CVPR 2024 · similarity 0.87)
- Disentangled Concepts Speak Louder Than Words: Explainable Video Action Recognition (NeurIPS 2025 · similarity 0.87)
- Open-Vocabulary Video Relation Extraction (AAAI 2024 · similarity 0.86)
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