Revisiting Foreground and Background Separation in Weakly-supervised Temporal Action Localization: A Clustering-based Approach

Benchmark Model Rank Results
weakly-supervised-action-localization-on-1CASE#4mAP@0.5:0.95: 26.8mAP@0.5: 43.2
weakly-supervised-action-localization-on-2CASE#4Mean mAP: 27.9mAP@0.5: 43.8
weakly-supervised-action-localization-on-thumosCASE + Zhou et al.#4mAP@0.1:0.7: 49.2
weakly-supervised-action-localization-on-thumosCASE#8mAP@0.1:0.7: 46.2mAP@0.1:0.5: 57.1