End-to-End Semi-Supervised Learning for Video Action Detection
Author:
Affiliation:
1. University of Central Florida,Center for Research in Computer Vision
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/9878378/9878366/09880113.pdf?arnumber=9880113
Reference54 articles.
1. D3D: Distilled 3D Networks for Video Action Recognition
2. Ucf101: A dataset of 101 human actions classes from videos in the wild;soomro;ArXiv abs/1212 0402,2012
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4. Deep Learning for Detecting Multiple Space-Time Action Tubes in Videos
5. Dynamic routing between capsules;sabour;ArXiv abs/1710 09829,2017
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