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Siamese network based trackers formulate tracking as convolutional feature cross-correlation between target template and searching region.
Visual object tracking using adaptive correlation filters
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Multiple human tracking based on multi-view upper-body detection and discriminative learning
J. Xing, H. Ai, and S. Lao · 2010
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Imagenet classification with deep convolutional neural networks
A. Krizhevsky, I. Sutskever, and G. E. Hinton · 2012
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Hand posture recognition using finger geometric feature
L. Liu, J. Xing, H. Ai, and X. Ruan · 2012
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Online object tracking: A benchmark
Y. Wu, J. Lim, and M.-H. Yang · 2013
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Adaptive color attributes for real-time visual tracking
M. Danelljan, F. S. Khan, M. Felsberg, and J. V. De Weijer · 2014
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Microsoft coco: Common objects in context
T.-Y. Lin, M. Maire, S. Belongie, J. Hays, P. Perona, D. Ramanan, P. Dollár, and C. L. Zitnick · 2014
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Learning spatially regularized correlation filters for visual tracking
M. Danelljan, G. Hager, F. S. Khan, and M. Felsberg · 2015
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Convolutional features for correlation filter based visual tracking
M. Danelljan, G. Hager, F. Shahbaz Khan, and M. Felsberg · 2015
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High-speed tracking with kernelized correlation filters
J. Henriques, R. Caseiro, P. Martins, and J. Batista · 2015
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Multi-store tracker (muster): A cognitive psychology inspired approach to object tracking
Z. Hong, Z. Chen, C. Wang, X. Mei, D. Prokhorov, and D. Tao · 2015
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The visual object tracking vot2016 challenge results
M. Kristan, A. Leonardis, J. Matas, M. Felsberg, R. Pflugfelder, and L. Cehovin Zajc · 2015
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The visual object tracking vot2015 challenge results
M. Kristan, J. Matas, A. Leonardis, M. Felsberg, L. ˇCehovin, and G. Fern.́ · 2015
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Fully convolutional networks for semantic segmentation
J. Long, E. Shelhamer, and T. Darrell · 2015
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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
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Very deep convolutional networks for large-scale image recognition
K. Simonyan and A. Zisserman · 2015
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Going deeper with convolutions
C. Szegedy, W. Liu, Y. Jia, P. Sermanet, S. Reed, D. Anguelov, D. Erhan, V. Vanhoucke, and A. Rabinovich · 2015
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Object tracking benchmark
Y. Wu, J. Lim, and M.-H. Yang · 2015
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Good features to track for visual slam
G. Zhang and P. Vela · 2015
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Robust visual tracking using joint scale-spatial correlation filters
M. Zhang, J. Xing, J. Gao, and W. Hu · 2015
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Joint scale-spatial correlation tracking with adaptive rotation estimation
M. Zhang, J. Xing, J. Gao, X. Shi, Q. Wang, and W. Hu · 2015
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Fully-convolutional siamese networks for object tracking
L. Bertinetto, J. Valmadre, J. F. Henriques, A. Vedaldi, and P. H. Torr · 2016
Cited alongside, same era.
Beyond correlation filters: Learning continuous convolution operators for visual tracking
M. Danelljan, A. Robinson, F. S. Khan, and M. Felsberg · 2016
Cited alongside, same era.
Deep residual learning for image recognition
K. He, X. Zhang, S. Ren, and J. Sun · 2016
Cited alongside, same era.
The visual object tracking vot2017 challenge results
M. Kristan, A. Leonardis, J. Matas, M. Felsberg, R. Pflugfelder, and L. Cehovin Zajc · 2017
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Discriminative correlation filter with channel and spatial reliability
A. Lukezic, T. Vojir, L. Cehovin Zajc, J. Matas, and M. Kristan · 2017
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An in-depth analysis of visual tracking with siamese neural networks
R. Pflugfelder · 2017
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Youtube-boundingboxes: A large high-precision human-annotated data set for object detection in video
E. Real, J. Shlens, S. Mazzocchi, X. Pan, and V. Vanhoucke · 2017
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End-to-end representation learning for correlation filter based tracking
J. Valmadre, L. Bertinetto, J. F. Henriques, A. Vedaldi, and P. H. Torr · 2017
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Learning to track at 100 fps with deep regression networks
D. Held, S. Thrun, and S. Savarese · 2016
Cited alongside, same era.
A benchmark and simulator for uav tracking
M. Mueller, N. Smith, and B. Ghanem · 2016
Cited alongside, same era.
A benchmark and simulator for uav tracking
M. Müller, N. Smith, and B. Ghanem · 2016
Cited alongside, same era.
Learning multi-domain convolutional neural networks for visual tracking
H. Nam and B. Han · 2016
Cited alongside, same era.
Siamese instance search for tracking
R. Tao, E. Gavves, and A. W. M. Smeulders · 2016
Cited alongside, same era.
Visual tracking via spatially aligned correlation filters network
M. Zhang, Q. Wang, J. Xing, J. Gao, P. Peng, W. Hu, and S. Maybank · 2016
Cited alongside, same era.
Q. Wang, J. Gao, J. Xing, M. Zhang, and W. Hu · 2017
Later among the works it cites.
Unveiling the power of deep tracking
G. Bhat, J. Johnander, M. Danelljan, F. Shahbaz Khan, and M. Felsberg · 2018
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Encoder-decoder with atrous separable convolution for semantic image segmentation
L.-C. Chen, Y. Zhu, G. Papandreou, F. Schroff, and H. Adam · 2018
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Lasot: A high-quality benchmark for large-scale single object tracking, 2018
H. Fan, L. Lin, F. Yang, P. Chu, G. Deng, S. Yu, H. Bai, Y. Xu, C. Liao, and H. Ling · 2018
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The sixth visual object tracking vot2018 challenge results
M. Kristan, A. Leonardis, J. Matas, M. Felsberg, R. Pfugfelder, L. C. Zajc, T. Vojir, G. Bhat, A. Lukezic, A. Eldesokey, G. Fernandez, and et al · 2018
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High performance visual tracking with siamese region proposal network
B. Li, J. Yan, W. Wu, Z. Zhu, and X. Hu · 2018
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Trackingnet: A large-scale dataset and benchmark for object tracking in the wild
M. Müller, A. Bibi, S. Giancola, S. Al-Subaihi, and B. Ghanem · 2018
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Megdet: A large mini-batch object detector
C. Peng, T. Xiao, Z. Li, Y. Jiang, X. Zhang, K. Jia, G. Yu, and J. Sun · 2018
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Deeply learned compositional models for human pose estimation
W. Tang, P. Yu, and Y. Wu · 2018
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Learning attentions: Residual attentional siamese network for high performance online visual tracking
Q. Wang, Z. Teng, J. Xing, J. Gao, W. Hu, and S. Maybank · 2018
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Do not lose the details: Reinforced representation learning for high performance visual tracking
Q. Wang, M. Zhang, J. Xing, J. Gao, W. Hu, and S. Maybank · 2018
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Distractor-aware siamese networks for visual object tracking
Z. Zhu, Q. Wang, B. Li, W. Wu, J. Yan, and W. Hu · 2018
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