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SotA/Methodology/Zero-Shot Learning/THUMOS14

Zero-Shot Learning on THUMOS14

Metric: avg-mAP (0.1-0.5) (higher is better)

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#Model↕avg-mAP (0.1-0.5)▼AugmentationsPaperDate↕Code
1HR-Pro71.6YesHR-Pro: Point-supervised Temporal Action Localiz...2023-08-24Code
2LACP62.7YesLearning Action Completeness from Points for Wea...2021-08-11Code
3P-MIL57.4NoProposal-Based Multiple Instance Learning for We...2023-05-29Code
4Ju et al.55.6YesPoint-Level Temporal Action Localization: Bridgi...2020-12-15-
5ACM-Net53.2NoACM-Net: Action Context Modeling Network for Wea...2021-04-07Code
6AUMN52.1NoAction Unit Memory Network for Weakly Supervised...2021-04-29-
7AMS52NoAdaptive Mutual Supervision for Weakly-Supervise...2021-04-06-
8Lee et al.51.6NoWeakly-supervised Temporal Action Localization b...2020-06-12Code
9CoLA50.3NoCoLA: Weakly-Supervised Temporal Action Localiza...2021-03-30Code
10TSCN47NoTwo-Stream Consensus Network for Weakly-Supervis...2020-10-22-
11A2CL-PT46.9NoAdversarial Background-Aware Loss for Weakly-sup...2020-07-13Code
12EM-ML44.9NoWeakly-Supervised Action Localization with Expec...2020-03-31Code