Semi-Supervised Action Recognition with Temporal Contrastive Learning

Learning to recognize actions from only a handful of labeled videos is a challenging problem due to the scarcity of tediously collected activity labels. We approach this problem by learning a two-pathway temporal contrastive model using unlabeled videos at two different speeds lever-aging the fact t...

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Bibliographic Details
Main Authors: Singh, Ankit, Chakraborty, Omprakash, Varshney, Ashutosh, Panda, Rameswar, Feris, Rogerio, Saenko, Kate, Das, Abir
Format: Conference Proceeding
Language:English
Subjects:
Benchmark testing
Computer vision
Image recognition
Network architecture
Pattern recognition
Robustness
Semantics
Online Access:Request full text
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