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cs.CV2026
Exploring the Temporal Consistency for Point-Level Weakly-Supervised Temporal Action Localization
Yunchuan Ma, Laiyun Qing, Guorong Li +3
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…
cs.CV2026
Boosting Point-supervised Temporal Action Localization via Text Refinement and Alignment
Yunchuan Ma, Laiyun Qing, Guorong Li +3
Recently, point-supervised temporal action localization has gained significant attention for its effective balance between labeling costs and localization accuracy. However, curren…