Enhancing Unsupervised Video Representation Learning by Temporal Contrastive Modelling Using 2D CNN

Vidit Kumar; Vikas Tripathi; Bhaskar Pant

doi:10.1007/978-3-031-11349-9_43

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Enhancing Unsupervised Video Representation Learning by Temporal Contrastive Modelling Using 2D CNN

Vidit Kumar Vikas Tripathi Bhaskar Pant

Year: 2022 Communications in computer and information science Pages: 494-503 Publisher: Springer Science+Business Media

DOI: 10.1007/978-3-031-11349-9_43

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Keywords:

Computer science Artificial intelligence Initialization Representation (politics) Pattern recognition (psychology) Feature learning Sequence (biology) Task (project management) Feature extraction Feature (linguistics) Feature vector Natural language processing

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Human Pose and Action Recognition

Physical Sciences → Computer Science → Computer Vision and Pattern Recognition

Multimodal Machine Learning Applications

Physical Sciences → Computer Science → Computer Vision and Pattern Recognition

Domain Adaptation and Few-Shot Learning

Physical Sciences → Computer Science → Artificial Intelligence

Enhancing Unsupervised Video Representation Learning by Temporal Contrastive Modelling Using 2D CNN

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