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Self-taught learning of a deep invariant representation for visual tracking via temporal slowness principle

Self-taught learning of a deep invariant representation for visual tracking via temporal slowness principle

Jason Kuen
K. Lim
C. Lee
ArXiv (abs)PDFHTML

Papers citing "Self-taught learning of a deep invariant representation for visual tracking via temporal slowness principle"

5 / 5 papers shown
Title
Autoencoder Based Sample Selection for Self-Taught Learning
Autoencoder Based Sample Selection for Self-Taught Learning
Siwei Feng
Han Yu
Marco F. Duarte
SSL
49
11
0
05 Aug 2018
A Survey of Deep Learning Techniques for Mobile Robot Applications
A Survey of Deep Learning Techniques for Mobile Robot Applications
Jahanzaib Shabbir
T. Anwer
86
36
0
20 Mar 2018
Recent Advances in Transfer Learning for Cross-Dataset Visual Recognition: A Problem-Oriented Perspective
Recent Advances in Transfer Learning for Cross-Dataset Visual Recognition: A Problem-Oriented Perspective
Jing Zhang
Wanqing Li
P. Ogunbona
Dong Xu
OOD
83
46
0
11 May 2017
Deep Learning of Appearance Models for Online Object Tracking
Deep Learning of Appearance Models for Online Object Tracking
Mengyao Zhai
M. J. Roshtkhari
Greg Mori
VOT
69
45
0
09 Jul 2016
Learning to Track at 100 FPS with Deep Regression Networks
Learning to Track at 100 FPS with Deep Regression Networks
David Held
Sebastian Thrun
Silvio Savarese
OffRL
122
1,194
0
06 Apr 2016

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