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...

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Bibliographic Details
Main Authors: Hayato Terao, Wataru Noguchi, Hiroyuki Iizuka, Masahito Yamamoto
Format: Article
Language:English
Published: Elsevier 2022-09-01
Series:Machine Learning with Applications
Subjects:
Online Access:http://www.sciencedirect.com/science/article/pii/S2666827022000457