Research map / Video / Action recognition
Learning to Discriminate Information for Online Action Detection
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Measured effects reported in the paper
| What was changed | Where | Measured | Effect |
|---|---|---|---|
| add current information to GRU reset and update gates (ablation) | GRU for online action detection · TVSeries | mcAP (%): 81.3 -> 83.4; 2.1% mcAP | Helped |
| add early embedding to the current-information GRU (ablation) | Baseline+CI · TVSeries | mcAP (%): 83.4 -> 84.7; 1.3% mcAP | Helped |
| add current information to GRU reset and update gates (ablation) | GRU for online action detection · THUMOS-14 | mAP (%): 46.7 -> 48.6 | Helped |
| add early embedding to the current-information GRU (ablation) | Baseline+CI · THUMOS-14 | mAP (%): 48.6 -> 50.0 | Helped |
| use a Kinetics-pretrained TSN feature extractor | IDN · TVSeries | mcAP (%): 84.7 -> 86.1 | Helped |
| use a Kinetics-pretrained TSN feature extractor | IDN · THUMOS-14 | mAP (%): 50.0 -> 60.3 | Helped |
Closest papers by meaning
- End-To-End Learning of Action Detection From Frame Glimpses in Videos (CVPR 2016 · similarity 0.88)
- Relational Action Forecasting (CVPR 2019 · similarity 0.86)
- Action Detail Matters: Refining Video Recognition with Local Action Queries (CVPR 2025 · similarity 0.86)
- Temporal Action Detection Using a Statistical Language Model (CVPR 2016 · similarity 0.86)
- No Frame Left Behind: Full Video Action Recognition (CVPR 2021 · similarity 0.85)
- Colar: Effective and Efficient Online Action Detection by Consulting Exemplars (CVPR 2022 · similarity 0.85)
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