Papers › Background Suppression Network for Weakly-supervised Temporal Action Localization
Background Suppression Network for Weakly-supervised Temporal Action Localization
Pilhyeon Lee, Youngjung Uh, Hyeran Byun
Weakly-supervised temporal action localization is a very challenging problem because frame-wise labels are not given in the training stage while the only hint is video-level labels: whether each video contains action frames of interest. Previous methods aggregate frame-level class scores to produce video-level prediction and learn from video-level action labels. This formulation does not fully model the problem in that background frames are forced to be misclassified as action classes to predict video-level labels accurately. In this paper, we design Background Suppression Network (BaS-Net) which introduces an auxiliary class for background and has a two-branch weight-sharing architecture with an asymmetrical training strategy. This enables BaS-Net to suppress activations from background frames to improve localization performance. Extensive experiments demonstrate the effectiveness of BaS-Net and its superiority over the state-of-the-art methods on the most popular benchmarks - THUMOS'14 and ActivityNet. Our code and the trained model are available at https://github.com/Pilhyeon/BaSNet-pytorch.
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Code
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Tasks
Results from the paper archive 2025-07-28
| Task | Dataset | Model | Metric | Value | Rank at snapshot | Leaderboard | Report |
|---|---|---|---|---|---|---|---|
| Weakly Supervised Action Localization | ActivityNet-1.2 | BaS-Net | mAP@0.5 | 38.5 | #14 of 19 | Archive leaderboard | report |
| Weakly Supervised Action Localization | ActivityNet-1.3 | BaS-Net | mAP@0.5 | 34.5 | #13 of 17 | Archive leaderboard | report |
| Weakly Supervised Action Localization | ActivityNet-1.3 | BaS-Net | mAP@0.5:0.95 | 22.2 | #13 of 17 | Archive leaderboard | report |
| Weakly Supervised Action Localization | THUMOS 2014 | BaS-Net | mAP@0.1:0.5 | 43.6 | #19 of 30 | Archive leaderboard | report |
| Weakly Supervised Action Localization | THUMOS 2014 | BaS-Net | mAP@0.1:0.7 | 35.3 | #19 of 30 | Archive leaderboard | report |
| Weakly Supervised Action Localization | THUMOS 2014 | BaS-Net | mAP@0.5 | 27 | #19 of 30 | Archive leaderboard | report |
| Weakly Supervised Action Localization | THUMOS’14 | BasNet | mAP@0.5 | 27.0 | #12 of 13 | 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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