Research map / Video / Action recognition
Harnessing Object and Scene Semantics for Large-Scale Video Understanding
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Measured effects reported in the paper
| What was changed | Where | Measured | Effect |
|---|---|---|---|
| Fuse generic frame features, object detections, and scene detections in the OSF network | video classification · ActivityNet validation (untrimmed) | mAP: 56.8 vs 56.3 | Helped |
| Fuse generic frame features, object detections, and scene detections in the OSF network | video categorization · FCVID test | mAP: 76.5 vs 75.5 | Helped |
| Add object and scene streams to the generic feature stream (ablation) | OSF Network · ActivityNet validation (untrimmed) | mAP: 47.4 -> 56.8 | Helped |
| Add the generic feature and scene streams to the object stream (ablation) | OSF Network · ActivityNet validation (untrimmed) | mAP: 44.8 -> 56.8 | Helped |
| Add generic and object streams to the scene stream (ablation) | OSF Network · ActivityNet validation (untrimmed) | mAP: 18.8 -> 56.8 | Helped |
| Add the scene stream to generic and object streams (ablation) | OSF Network · ActivityNet validation (untrimmed) | mAP: 56.2 -> 56.8 | Helped |
| Add the object stream to generic and scene streams (ablation) | OSF Network · ActivityNet validation (untrimmed) | mAP: 52.6 -> 56.8 | Helped |
| Add the generic feature stream to object and scene streams (ablation) | OSF Network · ActivityNet validation (untrimmed) | mAP: 55.4 -> 56.8 | Helped |
| Add object and scene streams to the generic feature stream (ablation) | OSF Network · FCVID test | mAP: 67.7 -> 76.5 | Helped |
| Add the generic feature and scene streams to the object stream (ablation) | OSF Network · FCVID test | mAP: 55.5 -> 76.5 | Helped |
| Add generic and object streams to the scene stream (ablation) | OSF Network · FCVID test | mAP: 41.3 -> 76.5 | Helped |
| Add the scene stream to generic and object streams (ablation) | OSF Network · FCVID test | mAP: 75.6 -> 76.5 | Helped |
Closest papers by meaning
- Unsupervised Deep Learning of Mid-Level Video Representation for Action Recognition (AAAI 2018 · similarity 0.87)
- Modular Action Concept Grounding in Semantic Video Prediction (CVPR 2022 · similarity 0.87)
- Convolutional Two-Stream Network Fusion for Video Action Recognition (CVPR 2016 · similarity 0.87)
- Object-Centric Representation Learning for Enhanced 3D Semantic Scene Graph Prediction (NeurIPS 2025 · similarity 0.86)
- Semantic Flow: Learning Semantic Fields of Dynamic Scenes from Monocular Videos (ICLR 2024 · similarity 0.85)
- OST: Refining Text Knowledge with Optimal Spatio-Temporal Descriptor for General Video Recognition (CVPR 2024 · similarity 0.85)
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