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Deep Learning of Appearance Models for Online Object Tracking

Deep Learning of Appearance Models for Online Object Tracking

9 July 2016
Mengyao Zhai
M. J. Roshtkhari
Greg Mori
    VOT
ArXiv (abs)PDFHTML

Papers citing "Deep Learning of Appearance Models for Online Object Tracking"

9 / 9 papers shown
Adaptive Subsampling for ROI-based Visual Tracking: Algorithms and FPGA
  Implementation
Adaptive Subsampling for ROI-based Visual Tracking: Algorithms and FPGA ImplementationIEEE Access (IEEE Access), 2021
Odrika Iqbal
Victor Isaac Torres Muro
Sameeksha Katoch
A. Spanias
Suren Jayasuriya
219
15
0
17 Dec 2021
Fast & Slow Learning: Incorporating Synthetic Gradients in Neural Memory
  Controllers
Fast & Slow Learning: Incorporating Synthetic Gradients in Neural Memory Controllers
Tharindu Fernando
Akila Pemasiri
Sridha Sridharan
Clinton Fookes
170
0
0
10 Nov 2020
Adaptive Exploitation of Pre-trained Deep Convolutional Neural Networks
  for Robust Visual Tracking
Adaptive Exploitation of Pre-trained Deep Convolutional Neural Networks for Robust Visual TrackingMultimedia tools and applications (MTA), 2020
S. M. Marvasti-Zadeh
Hossein Ghanei-Yakhdan
S. Kasaei
169
5
0
29 Aug 2020
Multiple-Vehicle Tracking in the Highway Using Appearance Model and
  Visual Object Tracking
Multiple-Vehicle Tracking in the Highway Using Appearance Model and Visual Object TrackingIranian Conference on Machine Vision and Image Processing (IMVIP), 2020
Fateme Bafghi
B. Shoushtarian
VOT
120
3
0
12 Jun 2020
ArTIST: Autoregressive Trajectory Inpainting and Scoring for Tracking
ArTIST: Autoregressive Trajectory Inpainting and Scoring for Tracking
F. Saleh
M. S. Aliakbarian
Mathieu Salzmann
Stephen Gould
DiffMVOT
195
13
0
16 Apr 2020
Deep Multi-Shot Network for modelling Appearance Similarity in
  Multi-Person Tracking applications
Deep Multi-Shot Network for modelling Appearance Similarity in Multi-Person Tracking applicationsMultimedia tools and applications (MTA), 2020
M. J. Gómez-Silva
VOT
217
2
0
07 Apr 2020
Eliminating Exposure Bias and Loss-Evaluation Mismatch in Multiple
  Object Tracking
Eliminating Exposure Bias and Loss-Evaluation Mismatch in Multiple Object Tracking
Andrii Maksai
Pascal Fua
VOT
183
17
0
27 Nov 2018
End-to-end representation learning for Correlation Filter based tracking
End-to-end representation learning for Correlation Filter based tracking
Jack Valmadre
Luca Bertinetto
João F. Henriques
Andrea Vedaldi
Juil Sock
270
1,450
0
20 Apr 2017
Tracking The Untrackable: Learning To Track Multiple Cues with Long-Term
  Dependencies
Tracking The Untrackable: Learning To Track Multiple Cues with Long-Term DependenciesIEEE International Conference on Computer Vision (ICCV), 2017
Amir Sadeghian
Alexandre Alahi
Silvio Savarese
VOT
255
545
0
08 Jan 2017
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