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Boundary Voting Network for Ambiguity-Aware Timestamp-Supervised Action Segmentation

Zhang, Runzhong et al.
arXiv (All) · Papers
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computer-vision-and-pattern-recognition
Timestamp-supervised action segmentation aims to segment and classify actions in untrimmed videos with a random frame annotated per action. Precisely localizing action boundaries from timestamp annotations is crucial for this setting, as it enables generating framewise pseudo-labels and applying the
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