Self-Supervised Learning from Untrimmed Videos via Hierarchical Consistency-Reference-Cited by-同舟云学术

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Self-Supervised Learning from Untrimmed Videos via Hierarchical Consistency

Published:2023 Issue: Volume: Page:1-18
ISSN:0162-8828
Container-title:IEEE Transactions on Pattern Analysis and Machine Intelligence
language:
Short-container-title:IEEE Trans. Pattern Anal. Mach. Intell.

Author:

Qing Zhiwu¹^ORCID,Zhang Shiwei²,Huang Ziyuan³^ORCID,Xu Yi⁴,Wang Xiang¹^ORCID,Gao Changxin¹^ORCID,Jin Rong⁵,Sang Nong¹^ORCID

Affiliation:

1. Key Laboratory of Image Processing and Intelligent Control, School of Artificial Intelligence and Automation, Huazhong University of Science and Technology, Wuhan, China

2. Alibaba Group, Hangzhou, Zhejiang, China

3. Advanced Robotics Centre, National University of Singapore, Singapore

4. Dalian University of Technology, Dalian, Liaoning, China

5. Twitter

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Applied Mathematics,Artificial Intelligence,Computational Theory and Mathematics,Computer Vision and Pattern Recognition,Software

Link

http://xplorestaging.ieee.org/ielx7/34/4359286/10119224.pdf?arnumber=10119224

Reference118 articles.

1. Context Encoders: Feature Learning by Inpainting

2. Unsupervised representation learning by predicting image rotations;gidaris,2018

3. Unsupervised Feature Learning via Non-parametric Instance Discrimination

4. Learning representations by maximizing mutual information across views;bachman;Proc Int Conf Neural Inf Process,2019

5. AutoLoc: Weakly-Supervised Temporal Action Localization in Untrimmed Videos

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