arXiv (OAI Expanded)
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Exploring the Temporal Consistency for Point-Level Weakly-Supervised Temporal Action Localization
Point-supervised Temporal Action Localization (PTAL) adopts a lightly frame-annotated paradigm (\textit{i.e.}, labeling only a single frame per action instance) to train a model to effectively locate action instances within untrimmed videos. Most existing approaches design the task head of models wi
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