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P2P-Former: Bridging the Supervision Gap Between Point and Proposal in Temporal Action Localization
Recently, point-supervised temporal action localization has attracted increasing attention due to its low annotation cost (only one frame per action instance) and competitive detection performance. However, since point annotations are less complete than proposal annotations, existing methods mainly
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