Papers › ReAct: Temporal Action Detection with Relational Queries
ReAct: Temporal Action Detection with Relational Queries
Dingfeng Shi, Yujie Zhong, Qiong Cao, Jing Zhang, Lin Ma, Jia Li, DaCheng Tao
This work aims at advancing temporal action detection (TAD) using an encoder-decoder framework with action queries, similar to DETR, which has shown great success in object detection. However, the framework suffers from several problems if directly applied to TAD: the insufficient exploration of inter-query relation in the decoder, the inadequate classification training due to a limited number of training samples, and the unreliable classification scores at inference. To this end, we first propose a relational attention mechanism in the decoder, which guides the attention among queries based on their relations. Moreover, we propose two losses to facilitate and stabilize the training of action classification. Lastly, we propose to predict the localization quality of each action query at inference in order to distinguish high-quality queries. The proposed method, named ReAct, achieves the state-of-the-art performance on THUMOS14, with much lower computational costs than previous methods. Besides, extensive ablation studies are conducted to verify the effectiveness of each proposed component. The code is available at https://github.com/sssste/React.
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Code
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Code Syntology ran Syntology
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Tasks
Results from the paper archive 2025-07-28
| Task | Dataset | Model | Metric | Value | Rank at snapshot | Leaderboard | Report |
|---|---|---|---|---|---|---|---|
| Temporal Action Localization | THUMOS’14 | ReAct (TSN features) | Avg mAP (0.3:0.7) | 55.0 | #17 of 42 | Archive leaderboard | report |
| Temporal Action Localization | THUMOS’14 | ReAct (TSN features) | mAP IOU@0.3 | 69.2 | #17 of 42 | Archive leaderboard | report |
| Temporal Action Localization | THUMOS’14 | ReAct (TSN features) | mAP IOU@0.4 | 65.0 | #17 of 42 | Archive leaderboard | report |
| Temporal Action Localization | THUMOS’14 | ReAct (TSN features) | mAP IOU@0.5 | 57.1 | #17 of 42 | Archive leaderboard | report |
| Temporal Action Localization | THUMOS’14 | ReAct (TSN features) | mAP IOU@0.6 | 47.8 | #17 of 42 | Archive leaderboard | report |
| Temporal Action Localization | THUMOS’14 | ReAct (TSN features) | mAP IOU@0.7 | 35.6 | #17 of 42 | Archive leaderboard | report |
Ranks are positions in the archive's leaderboards as they stood at the 2025-07-28 snapshot. Results published since then are not among these rows, so a rank here is not a current standing.
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