RefineLoc: Iterative Refinement for Weakly-Supervised Action Localization

arXiv: Computer Vision and Pattern Recognition, 2019.

Cited by: 1|Views41
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Abstract:

Video action detectors are usually trained using video datasets with fully supervised temporal annotations. Building such video datasets is a heavily expensive task. To alleviate this problem, recent algorithms leverage weak labelling where videos are untrimmed and only a video-level label is available. In this paper, we propose RefineLoc...More

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