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...

Celý popis

Podrobná bibliografia

Vydané v:	2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR) s. 6402 - 6411
Hlavní autori:	Wang, Limin, Xiong, Yuanjun, Lin, Dahua, Van Gool, Luc
Médium:	Konferenčný príspevok..
Jazyk:	English
Vydavateľské údaje:	IEEE 01.07.2017
Predmet:	Adaptation models Feature extraction Motion pictures Proposals Training Videos Visualization
ISSN:	1063-6919, 1063-6919
On-line prístup:	Získať plný text
Tagy:	Pridať tag Žiadne tagy, Buďte prvý, kto otaguje tento záznam!