ActivityNet: A large-scale video benchmark for human activity understanding

In spite of many dataset efforts for human action recognition, current computer vision algorithms are still severely limited in terms of the variability and complexity of the actions that they can recognize. This is in part due to the simplicity of current benchmarks, which mostly focus on simple ac...

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Vydané v:	2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR) s. 961 - 970
Hlavní autori:	Caba Heilbron, Fabian, Escorcia, Victor, Ghanem, Bernard, Niebles, Juan Carlos
Médium:	Konferenčný príspevok.. Journal Article
Jazyk:	English
Vydavateľské údaje:	IEEE 01.06.2015
Predmet:	Algorithms Benchmark testing Benchmarking Classification Cleaning Complexity theory Computer vision Conferences Human motion Movements Organizations Pattern recognition Semantics Taxonomy YouTube
ISSN:	1063-6919, 1063-6919
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