Compressed video ensemble based pseudo-labeling for semi-supervised action recognition
Some recent studies have focused on deep learning based semi-supervised learning for action recognition. However, it is difficult to scale up their training because their input is RGB frames, the obtainment of which incurs computational and storage costs. In this paper, we propose a semi-supervised...
Main Authors: | , , , |
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Format: | Article |
Language: | English |
Published: |
Elsevier
2022-09-01
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Series: | Machine Learning with Applications |
Subjects: | |
Online Access: | http://www.sciencedirect.com/science/article/pii/S2666827022000457 |