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Video Relationship Reasoning Using Gated Spatio-Temporal Energy Graph
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Measured effects reported in the paper
| What was changed | Where | Measured | Effect |
|---|---|---|---|
| Use the Gated Spatio-Temporal Energy Graph for activity recognition | Charades activity recognition · Charades | mAP: 18.3% -> 33.3% | Helped |
| Add 300-dim GloVe language priors (ablation) | UEG · ImageNet Video | subject Acc@1: 90.60 -> 90.97 | Helped |
| Add 300-dim GloVe language priors (ablation) | UEG · ImageNet Video | predicate Acc@1: 28.78 -> 29.54 | Helped |
| Add 300-dim GloVe language priors (ablation) | UEG · ImageNet Video | object Acc@1: 89.79 -> 90.57 | Helped |
| Add 300-dim GloVe language priors (ablation) | UEG · ImageNet Video | relation triplet Acc@1: 25.01 -> 26.48 | Helped |
Closest papers by meaning
- Multi-Modal Prompting for Open-Vocabulary Video Visual Relationship Detection (AAAI 2024 · similarity 0.85)
- SportsHHI: A Dataset for Human-Human Interaction Detection in Sports Videos (CVPR 2024 · similarity 0.85)
- SocialGPT: Prompting LLMs for Social Relation Reasoning via Greedy Segment Optimization (NeurIPS 2024 · similarity 0.85)
- Towards Flexible Visual Relationship Segmentation (NeurIPS 2024 · similarity 0.85)
- Synthetic Visual Genome (CVPR 2025 · similarity 0.85)
- OpenCoF: Learning to Reason Through Video Generation (NeurIPS 2026 · similarity 0.85)
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