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pro vyhledávání: '"Yun, Wulian"'
Existing action quality assessment (AQA) methods often require a large number of label annotations for fully supervised learning, which are laborious and expensive. In practice, the labeled data are difficult to obtain because the AQA annotation proc
Externí odkaz:
http://arxiv.org/abs/2407.19675
Weakly-supervised temporal action localization aims to locate action regions and identify action categories in untrimmed videos simultaneously by taking only video-level labels as the supervision. Pseudo label generation is a promising strategy to so
Externí odkaz:
http://arxiv.org/abs/2303.12332
Video denoising aims to recover high-quality frames from the noisy video. While most existing approaches adopt convolutional neural networks~(CNNs) to separate the noise from the original visual content, however, CNNs focus on local information and i
Externí odkaz:
http://arxiv.org/abs/2205.00214
Weakly-supervised temporal action localization aims to locate action regions and identify action categories in untrimmed videos, only taking video-level labels as the supervised information. Pseudo label generation is a promising strategy to solve th
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::3b7e0977df74266b8ce5ec0da1cff6fd
http://arxiv.org/abs/2303.12332
http://arxiv.org/abs/2303.12332