UntrimmedNets for Weakly Supervised Action Recognition and Detection

Current action recognition methods heavily rely on trimmed videos for model training. However, it is expensive and time-consuming to acquire a large-scale trimmed video dataset. This paper presents a new weakly supervised architecture, called UntrimmedNet, which is able to directly learn action reco...

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Bibliographic Details

Published in:	2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR) pp. 6402 - 6411
Main Authors:	Wang, Limin, Xiong, Yuanjun, Lin, Dahua, Van Gool, Luc
Format:	Conference Proceeding
Language:	English
Published:	IEEE 01.07.2017
Subjects:	Adaptation models Feature extraction Motion pictures Proposals Training Videos Visualization
ISSN:	1063-6919, 1063-6919
Online Access:	Get full text
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