Towards Adaptive Pseudo-Label Learning for Semi-Supervised Temporal Action Localization

Feixiang Zhou; Bryan M. Williams; Hossein Rahmani

doi:10.1007/978-3-031-73033-7_18

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Towards Adaptive Pseudo-Label Learning for Semi-Supervised Temporal Action Localization

Feixiang Zhou Bryan M. Williams Hossein Rahmani

Year: 2024 Lecture notes in computer science Pages: 320-338 Publisher: Springer Science+Business Media

DOI: 10.1007/978-3-031-73033-7_18

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Keywords:

Computer science Artificial intelligence Action (physics) Supervised learning Machine learning Pattern recognition (psychology) 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

Gait Recognition and Analysis

Physical Sciences → Engineering → Biomedical Engineering

Towards Adaptive Pseudo-Label Learning for Semi-Supervised Temporal Action Localization

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