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Temporal Query Networks for Fine-Grained Video Understanding.

CVPR, pp.4486-4496, (2021)

Cited by: 0|Views6
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Abstract

Our objective in this work is fine-grained classification of actions in untrimmed videos, where the actions may be temporally extended or may span only a few frames of the video. We cast this into a query-response mechanism, where each query addresses a particular question, and has its own response label set. We make the following four co...More

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Author
Chuhan Zhang
Chuhan Zhang
Ankush Gupta
Ankush Gupta
Andrew Zisserman
Andrew Zisserman
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