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Published in 2022 at "IEEE Transactions on Image Processing"
DOI: 10.1109/tip.2022.3147032
Abstract: Video self-supervised learning is a challenging task, which requires significant expressive power from the model to leverage rich spatial-temporal knowledge and generate effective supervisory signals from large amounts of unlabeled videos. However, existing methods fail…
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Keywords:
self supervised;
representation;
unlabeled videos;
temporal contrastive ... See more keywords