Fetching the paper…
Reading the bibliography…
Visual object tracking is a fundamental and time-critical vision task.
Reinforcement Learning: An introduction
R. Sutton and A. Barto · 1998
Earlier work this paper cites.
Rapid object detection using a boosted cascade of simple features
P. Viola and M. Jones · 2001
Earlier work this paper cites.
Histograms of oriented gradients for human detection
N. Dalal and B. Triggs · 2005
Earlier work this paper cites.
Incremental learning for robust visual tracking
D. A. Ross, J. Lim, R.-S. Lin, and M.-H. Yang · 2008
Earlier work this paper cites.
Visual object tracking using adaptive correlation filters
D. S. Bolme, J. R. Beveridge, B. A. Draper, and Y. M. Lui · 2010
Earlier work this paper cites.
Struck: Structured output tracking with kernels
S. Hare, A. Saffari, and P. H. S. Torr · 2011
Earlier work this paper cites.
Tracking-learning-detection
Z. Kalal, K. Mikolajczyk, and J. Matas · 2012
Earlier work this paper cites.
Imagenet classification with deep convolutional neural networks
A. Krizhevsky, I. Sutskever, and G. E. Hinton · 2012
Earlier work this paper cites.
Deep convolutional network cascade for facial point detection
Y. Sun, X. Wang, and X. Tang · 2013
Earlier work this paper cites.
Online object tracking: A benchmark
Y. Wu, J. Lim, and M.-H. Yang · 2013
Earlier work this paper cites.
Accurate scale estimation for robust visual tracking
M. Danelljan, G. Häger, F. Shahbaz Khan, and M. Felsberg · 2014
Earlier work this paper cites.
Adaptive color attributes for real-time visual tracking
M. Danelljan, F. S. Khan, M. Felsberg, and J. v. d. Weijer · 2014
Earlier work this paper cites.
The visual object tracking VOT2014 challenge results
M. Kristan, R. Pflugfelder, A. Leonardis, J. Matas, L. Cehovin, G. Nebehay, T. Vojir, G. Fernandez, A. Lukezic, and A. Dimitriev · 2014
Earlier work this paper cites.
A scale adaptive kernel correlation filter tracker with feature integration
Y. Li and J. Zhu · 2014
Earlier work this paper cites.
MEEM: robust tracking via multiple experts using entropy minimization
J. Zhang, S. Ma, and S. Sclaroff · 2014
Earlier work this paper cites.
Fast visual tracking via dense spatio-temporal context learning
K. Zhang, L. Zhang, Q. Liu, D. Zhang, and M.-H. Yang · 2014
Earlier work this paper cites.
Active object localization with deep reinforcement learning
J. C. Caicedo and S. Lazebnik · 2015
Cited alongside, same era.
Convolutional features for correlation filter based visual tracking
M. Danelljan, G. Häger, F. S. Khan, and M. Felsberg · 2015
Cited alongside, same era.
Learning spatially regularized correlation filters for visual tracking
M. Danelljan, G. Häger, F. S. Khan, and M. Felsberg · 2015
Cited alongside, same era.
Hypercolumns for object segmentation and fine-grained localization
B. Hariharan, P. Arbeláez, R. Girshick, and J. Malik · 2015
Cited alongside, same era.
High-speed tracking with kernelized correlation filters
J. F. Henriques, R. Caseiro, P. Martins, and J. Batista · 2015
Cited alongside, same era.
The visual object tracking VOT2015 challenge results
M. Kristan, J. Matas, A. Leonardis, M. Felsberg, L. Čehovin, G. Fernandez, T. Vojir, G. Häger, G. Nebehay, and R. Pflugfelder · 2015
Tracking randomly moving objects on edge box proposals
G. Zhu, F. Porikli, and H. Li · 2015
Later among the works it cites.
Object tracking with compressed networks
A. Alfvén · 2016
Later among the works it cites.
Staple: Complementary learners for real-time tracking
L. Bertinetto, J. Valmadre, S. Golodetz, O. Miksik, and P. H. S. Torr · 2016
Later among the works it cites.
Fully-convolutional siamese networks for object tracking
L. Bertinetto, J. Valmadre, J. F. Henriques, A. Vedaldi, and P. H. S. Torr · 2016
Later among the works it cites.
Recurrently target-attending tracking
Z. Cui, S. Xiao, J. Feng, and S. Yan · 2016
Later among the works it cites.
Instance-aware semantic segmentation via multi-task network cascades
J. Dai, K. He, and J. Sun · 2016
Later among the works it cites.
alphaXiv searches the wider corpus for related work and actual follow-ups.
alphaXiv is searching for related work…
Cited alongside, same era.
Deeply-supervised nets
C.-Y. Lee, S. Xie, P. W. Gallagher, Z. Zhang, and Z. Tu · 2015
Cited alongside, same era.
Hierarchical convolutional features for visual tracking
C. Ma, J.-B. Huang, X. Yang, and M.-H. Yang · 2015
Cited alongside, same era.
Long-term correlation tracking
C. Ma, X. Yang, C. Zhang, and M.-H. Yang · 2015
Cited alongside, same era.
Human-level control through deep reinforcement learning
V. Mnih, K. Kavukcuoglu, D. Silver, A. A. Rusu, J. Veness, M. G. Bellemare, A. Graves, M. Riedmiller, and A. K. Fidjeland et al · 2015
Cited alongside, same era.
ImageNet Large Scale Visual Recognition Challenge
O. Russakovsky, J. Deng, H. Su, J. Krause, S. Satheesh, S. Ma, Z. Huang, A. Karpathy, A. Khosla, M. Bernstein, A. C. Berg, and L. Fei-Fei · 2015
Cited alongside, same era.
Very deep convolutional networks for large-scale image recognition
K. Simonyan and A. Zisserman · 2015
Cited alongside, same era.
Beyond correlation filters: Learning continuous convolution operators for visual tracking
M. Danelljan, A. Robinson, F. Shahbaz Khan, and M. Felsberg · 2016
Later among the works it cites.
Learning to track at 100 fps with deep regression networks
D. Held, S. Thrun, and S. Savarese · 2016
Later among the works it cites.
Learning multi-domain convolutional neural networks for visual tracking
H. Nam and B. Han · 2016
Later among the works it cites.
Hedged deep tracking
Y. Qi, S. Zhang, L. Qin, H. Yao, Q. Huang, J. Lim, and M.-H. Yang · 2016
Later among the works it cites.
Siamese instance search for tracking
R. Tao, E. Gavves, and A. W. M. Smeulders · 2016
Later among the works it cites.
Visual tracking by reinforced decision making
J. Choi, J. Kwon, and K. M. Lee · 2017
Closest in time.
ECO: efficient convolution operators for tracking
M. Danelljan, G. Bhat, F. S. Khan, and M. Felsberg · 2017
Closest in time.
RATM: recurrent attentive tracking model
S. E. Kahou, V. Michalski, and R. Memisevic · 2017
Closest in time.
Deep reinforcement learning for visual object tracking in videos
D. Zhang, H. Maei, X. Wang, and Y.-F. Wang · 2017
Closest in time.