Compressed video ensemble based pseudo-labeling for semi-supervised action recognition

Hayato Terao; Wataru Noguchi; Hiroyuki Iizuka; Masahito Yamamoto

doi:10.1016/j.mlwa.2022.100336

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Compressed video ensemble based pseudo-labeling for semi-supervised action recognition

Hayato Terao Wataru Noguchi Hiroyuki Iizuka Masahito Yamamoto

Year: 2022 Journal: Machine Learning with Applications Vol: 9 Pages: 100336-100336 Publisher: Elsevier BV

DOI: 10.1016/j.mlwa.2022.100336

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Keywords:

Computer science Artificial intelligence RGB color model Pattern recognition (psychology) Decoding methods Supervised learning Semi-supervised learning Action (physics) Machine learning Artificial neural network

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Human Pose and Action Recognition

Physical Sciences → Computer Science → Computer Vision and Pattern Recognition

Anomaly Detection Techniques and Applications

Physical Sciences → Computer Science → Artificial Intelligence

Hand Gesture Recognition Systems

Physical Sciences → Computer Science → Human-Computer Interaction

Compressed video ensemble based pseudo-labeling for semi-supervised action recognition

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