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Self-Supervised Learning for Semi-Supervised Temporal Action Proposal

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), (2021)

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Abstract

Self-supervised learning presents a remarkable performance to utilize unlabeled data for various video tasks. In this paper, we focus on applying the power of self-supervised methods to improve semi-supervised action proposal generation. Particularly, we design an effective Self-supervised Semi-supervised Temporal Action Proposal (SSTAP...More

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Author
Xiang Wang
Xiang Wang
Shiwei Zhang
Shiwei Zhang
Zhiwu Qing
Zhiwu Qing
Yuanjie Shao
Yuanjie Shao
Changxin Gao
Changxin Gao
Nong Sang
Nong Sang
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