Can Temporal Information Help with Contrastive Self-Supervised Learning?

Haoqi Fan
Haoqi Fan
Ishan Misra
Ishan Misra
Ganesh Venkatesh
Ganesh Venkatesh
Yongyi Lu
Yongyi Lu
Vikas Chandra
Vikas Chandra
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Abstract:

Leveraging temporal information has been regarded as essential for developing video understanding models. However, how to properly incorporate temporal information into the recent successful instance discrimination based contrastive self-supervised learning (CSL) framework remains unclear. As an intuitive solution, we find that directly...More

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