Fetching the paper…
Reading the bibliography…
Template-based discriminative trackers are currently the dominant tracking methods due to their robustness and accuracy, and the Siamese-network-based methods that depend on cross-correlation operation between features extracted from template and search images show the state-of-the-art tracking performance.
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.
Microsoft COCO: Common objects in context
Tsung-Yi Lin, Michael Maire, Serge Belongie, James Hays, Pietro Perona, Deva Ramanan, Piotr Dollár, and C. Lawrence Zitnick · 2014
Earlier work this paper cites.
Sequence to sequence learning with neural networks
Ilya Sutskever, Oriol Vinyals, and Quoc V Le · 2014
Earlier work this paper cites.
Neural machine translation by jointly learning to align and translate
Dzmitry Bahdanau, Kyunghyun Cho, and Yoshua Bengio · 2015
Earlier work this paper cites.
Correlation filters with limited boundaries
H. K. Galoogahi, T. Sim, and S. Lucey · 2015
Earlier work this paper cites.
High-speed tracking with kernelized correlation filters
J. F. Henriques, R. Caseiro, P. Martins, and J. Batista · 2015
Earlier work this paper cites.
Adam: A method for stochastic optimization
Diederik P. Kingma and Jimmy Ba · 2015
Earlier work this paper cites.
Hierarchical convolutional features for visual tracking
C. Ma, J. Huang, X. Yang, and M. Yang · 2015
Earlier work this paper cites.
ImageNet large scale visual recognition challenge
Olga Russakovsky, Jia Deng, Hao Su, Jonathan Krause, Sanjeev Satheesh, Sean Ma, Zhiheng Huang, Andrej Karpathy, Aditya Khosla, Michael Bernstein, Alexander C. Berg, and Li Fei-Fei · 2015
Earlier work this paper cites.
Object tracking benchmark
Y. Wu, J. Lim, and M. Yang · 2015
Earlier work this paper cites.
Fully-convolutional Siamese networks for object tracking
Luca Bertinetto, Jack Valmadre, João F. Henriques, Andrea Vedaldi, and Philip H. S. Torr · 2016
Earlier work this paper cites.
Beyond correlation filters: Learning continuous convolution operators for visual tracking
Martin Danelljan, Andreas Robinson, Fahad Shahbaz Khan, and Michael Felsberg · 2016
Earlier work this paper cites.
Deep residual learning for image recognition
K. He, X. Zhang, S. Ren, and J. Sun · 2016
Earlier work this paper cites.
A benchmark and simulator for UAV tracking
Matthias Mueller, Neil Smith, and Bernard Ghanem · 2016
Earlier work this paper cites.
Learning multi-domain convolutional neural networks for visual tracking
H. Nam and B. Han · 2016
Earlier work this paper cites.
Need for speed: A benchmark for higher frame rate object tracking
H. K. Galoogahi, A. Fagg, C. Huang, D. Ramanan, and S. Lucey · 2017
Earlier work this paper cites.
Learning dynamic Siamese network for visual object tracking
Q. Guo, W. Feng, C. Zhou, R. Huang, L. Wan, and S. Wang · 2017
Earlier work this paper cites.
Focal loss for dense object detection
T. Lin, P. Goyal, R. Girshick, K. He, and P. Dollár · 2017
Earlier work this paper cites.
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
Earlier work this paper cites.
Attention is all you need
Ashish Vaswani, Noam Shazeer, Niki Parmar, Jakob Uszkoreit, Llion Jones, Aidan N. Gomez, undefinedukasz Kaiser, and Illia Polosukhin · 2017
Earlier work this paper cites.
Unveiling the power of deep tracking
Goutam Bhat, Joakim Johnander, Martin Danelljan, Fahad Shahbaz Khan, and Michael Felsberg · 2018
Cited alongside, same era.
DeepLab: Semantic image segmentation with deep convolutional nets, Atrous convolution, and fully connected CRFs
L. Chen, G. Papandreou, I. Kokkinos, K. Murphy, and A. L. Yuille · 2018
Cited alongside, same era.
Acquisition of localization confidence for accurate object detection
Borui Jiang, Ruixuan Luo, Jiayuan Mao, Tete Xiao, and Yuning Jiang · 2018
Cited alongside, same era.
Cornernet: Detecting objects as paired keypoints
Hei Law and Jia Deng · 2018
Cited alongside, same era.
High performance visual tracking with Siamese region proposal network
B. Li, J. Yan, W. Wu, Z. Zhu, and X. Hu · 2018
Cited alongside, same era.
Trackingnet: A large-scale dataset and benchmark for object tracking in the wild
RWTH ASR systems for librispeech: Hybrid vs attention
Christoph Lüscher, Eugen Beck, Kazuki Irie, Markus Kitza, Wilfried Michel, Albert Zeyer, Ralf Schlüter, and Hermann Ney · 2019
Later among the works it cites.
Language models are unsupervised multitask learners
Alec Radford, Jeff Wu, Rewon Child, David Luan, Dario Amodei, and Ilya Sutskever · 2019
Later among the works it cites.
End-to-end ASR: from supervised to semi-supervised learning with modern architectures
Gabriel Synnaeve, Qiantong Xu, Jacob Kahn, Tatiana Likhomanenko, Edouard Grave, Vineel Pratap, Anuroop Sriram, Vitaliy Liptchinsky, and Ronan Collobert · 2019
Later among the works it cites.
Learning the model update for Siamese trackers
L. Zhang, A. Gonzalez-Garcia, J. V. D. Weijer, M. Danelljan, and F. S. Khan · 2019
Later among the works it cites.
Xingyi Zhou, Dequan Wang, and Philipp Krähenbühl · 2019
Later among the works it cites.
alphaXiv searches the wider corpus for related work and actual follow-ups.
alphaXiv is searching for related work…
Matthias Müller, Adel Bibi, Silvio Giancola, Salman Alsubaihi, and Bernard Ghanem · 2018
Cited alongside, same era.
Correlation tracking via joint discrimination and reliability learning
C. Sun, D. Wang, H. Lu, and M. Yang · 2018
Cited alongside, same era.
Parallel WaveNet: Fast high-fidelity speech synthesis
Aaron van den Oord, Yazhe Li, Igor Babuschkin, Karen Simonyan, Oriol Vinyals, Koray Kavukcuoglu, George van den Driessche, Edward Lockhart, Luis Cobo, Florian Stimberg, Norman Casagrande, et al · 2018
Cited alongside, same era.
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
Cited alongside, same era.
Distractor-aware Siamese networks for visual object tracking
Zheng Zhu, Qiang Wang, Bo Li, Wei Wu, Junjie Yan, and Weiming Hu · 2018
Cited alongside, same era.
End-to-end flow correlation tracking with spatial-temporal attention
Z. Zhu, W. Wu, W. Zou, and J. Yan · 2018
Cited alongside, same era.
Learning discriminative model prediction for tracking
G. Bhat, M. Danelljan, L. Van Gool, and R. Timofte · 2019
Cited alongside, same era.
End-to-end object detection with Transformers
Nicolas Carion, Francisco Massa, Gabriel Synnaeve, Nicolas Usunier, Alexander Kirillov, and Sergey Zagoruyko · 2020
Later among the works it cites.
Siamese box adaptive network for visual tracking
Z. Chen, B. Zhong, G. Li, S. Zhang, and R. Ji · 2020
Later among the works it cites.
High-performance long-term tracking with meta-updater
K. Dai, Y. Zhang, D. Wang, J. Li, H. Lu, and X. Yang · 2020
Later among the works it cites.
Probabilistic regression for visual tracking
M. Danelljan, L. Van Gool, and R. Timofte · 2020
Later among the works it cites.
An image is worth 16x16 words: Transformers for image recognition at scale
Alexey Dosovitskiy, Lucas Beyer, Alexander Kolesnikov, Dirk Weissenborn, Xiaohua Zhai, Thomas Unterthiner, Mostafa Dehghani, Matthias Minderer, Georg Heigold, Sylvain Gelly, Jakob Uszkoreit, and Neil Houlsby · 2020
Later among the works it cites.
SiamCAR: Siamese fully convolutional classification and regression for visual tracking
D. Guo, J. Wang, Y. Cui, Z. Wang, and S. Chen · 2020
Later among the works it cites.
D3S - A discriminative single shot segmentation tracker
A. LukežiÄ, J. Matas, and M. Kristan · 2020
Later among the works it cites.
Transtrack: Multiple-object tracking with Transformer
Peize Sun, Yi Jiang, Rufeng Zhang, Enze Xie, Jinkun Cao, Xinting Hu, Tao Kong, Zehuan Yuan, Changhu Wang, and Ping Luo · 2020
Later among the works it cites.
Siam r-cnn: Visual tracking by re-detection
P. Voigtlaender, J. Luiten, P. H. S. Torr, and B. Leibe · 2020
Later among the works it cites.
Tracking by instance detection: A meta-learning approach
G. Wang, C. Luo, X. Sun, Z. Xiong, and W. Zeng · 2020
Later among the works it cites.
SiamFC++: Towards robust and accurate visual tracking with target estimation guidelines
Yinda Xu, Zeyu Wang, Zuoxin Li, Ye Yuan, and Gang Yu · 2020
Later among the works it cites.
Deformable Siamese attention networks for visual object tracking
Y. Yu, Y. Xiong, W. Huang, and M. R. Scott · 2020
Later among the works it cites.
Ocean: Object-aware anchor-free tracking
Zhipeng Zhang, Houwen Peng, Jianlong Fu, Bing Li, and Weiming Hu · 2020
Later among the works it cites.
Deformable DETR: Deformable Transformers for end-to-end object detection
Xizhou Zhu, Weijie Su, Lewei Lu, Bin Li, Xiaogang Wang, and Jifeng Dai · 2020
Later among the works it cites.
Trackformer: Multi-object tracking with Transformers
Tim Meinhardt, Alexander Kirillov, Laura Leal-Taixe, and Christoph Feichtenhofer · 2021
Closest in time.