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Quo Vadis, action recognition? A new model and the kinetics dataset

Abstract:

The paucity of videos in current action classification datasets (UCF-101 and HMDB-51) has made it difficult to identify good video architectures, as most methods obtain similar performance on existing small-scale benchmarks. This paper re-evaluates state-of-the-art architectures in light of the new Kinetics Human Action Video dataset. Kinetics has two orders of magnitude more data, with 400 human action classes and over 400 clips per class, and is collected from realistic, challenging YouTube...

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Publication status:
Published
Peer review status:
Peer reviewed
Version:
Accepted Manuscript

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Publisher copy:
10.1109/cvpr.2017.502

Authors


Carreira, J More by this author
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Institution:
University of Oxford
Division:
MPLS Division
Department:
Engineering Science
Oxford college:
Brasenose College
ORCID:
0000-0002-8945-8573
Publisher:
IEEE Publisher's website
Publication date:
2017-11-09
Acceptance date:
2017-03-03
DOI:
ISSN:
1063-6919
Pubs id:
pubs:820333
URN:
uri:c8881c3e-c91d-444c-b142-75f9ff6377af
UUID:
uuid:c8881c3e-c91d-444c-b142-75f9ff6377af
Local pid:
pubs:820333

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