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Boosting Point-supervised Temporal Action Localization via Text Refinement and Alignment

Ma, Yunchuan et al.
arXiv (OAI Expanded) · Papers
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computer-vision-and-pattern-recognition
Recently, point-supervised temporal action localization has gained significant attention for its effective balance between labeling costs and localization accuracy. However, current methods primarily rely on visual features and do not fully exploit the complementary semantic information contained in
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