Research map / Detection and segmentation / Tracking
Video Event Extraction via Tracking Visual States of Arguments
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Measured effects reported in the paper
| What was changed | Where | Measured | Effect |
|---|---|---|---|
| Track argument visual states using pixel changes, displacements, temporal aggregation, and object interactions | SlowFast for verb classification · VidSitu validation | F1@5: 17.87 -> 21.40 | Helped |
| Track argument visual states using pixel changes, displacements, and temporal aggregation | SlowFast for semantic role prediction · VidSitu validation | CIDEr: 44.49 ±2.30 -> 48.46 ±1.84 | Helped |
| Add bounding-box displacements to pixel-based Object State Embedding (ablation) | OSE-pixel + OME · VidSitu validation | F1@5: 21.24 -> 21.34 | Helped |
| Add bounding-box displacements to pixel-based Object State Embedding (ablation) | OSE-pixel + OME · VidSitu validation | CIDEr: 47.82 ±2.12 -> 48.46 ±1.84 | Helped |
| Add Object Interaction Embedding (ablation) | OSE-pixel/disp + OME for verb classification · VidSitu validation | F1@5: 21.34 -> 21.40 | Helped |
| Add Object Interaction Embedding (ablation) | OSE-pixel/disp + OME for semantic role prediction · VidSitu validation | CIDEr: 48.46 ±1.84 -> 47.16 ±1.71 | Hurt |
| Vary the maximum number of tracked objects from 8 to 2 or 4 (ablation) | Proposed model for verb classification · VidSitu validation | F1@5: 21.40; 21.53; 21.29 | No clear effect |
| Use LSTM rather than average pooling for state aggregation (ablation) | OME for verb classification · VidSitu validation | F1@5: 21.36 -> 21.30 | No clear effect |
Closest papers by meaning
- VidEvent: A Large Dataset for Understanding Dynamic Evolution of Events in Videos (AAAI 2025 · similarity 0.87)
- Beyond Grounding: Extracting Fine-Grained Event Hierarchies across Modalities (AAAI 2024 · similarity 0.86)
- E.T. Bench: Towards Open-Ended Event-Level Video-Language Understanding (NeurIPS 2024 · similarity 0.86)
- Event-Equalized Dense Video Captioning (CVPR 2025 · similarity 0.86)
- EventLens: Event-Structure Reinforcement Learning for Video Understanding (NeurIPS 2026 · similarity 0.85)
- Video Event Extraction with Multi-View Interaction Knowledge Distillation (AAAI 2024 · similarity 0.85)
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