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Correlation acts as a critical role in the tracking field, especially in recent popular Siamese-based trackers.
Understanding the difficulty of training deep feedforward neural networks
Xavier Glorot and Yoshua Bengio · 2010
Earlier work this paper cites.
Microsoft COCO: Common objects in context
Tsung-Yi Lin, Michael Maire, Serge J. Belongie, Lubomir D. Bourdev, Ross B. Girshick, James Hays, Pietro Perona, Deva Ramanan, Piotr Dollár, and C. Lawrence Zitnick · 2014
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Faster R–CNN: Towards real-time object detection with region proposal networks
Shaoqing Ren, Kaiming He, Ross Girshick, and Jian Sun · 2015
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ImageNet Large scale visual recognition challenge
Olga Russakovsky, Jia Deng, Hao Su, Jonathan Krause, Sanjeev Satheesh, Sean Ma, Zhiheng Huang, Andrej Karpathy, Aditya Khosla, and Michael Bernstein · 2015
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Object tracking benchmark
Yi Wu, Jongwoo Lim, and Ming Hsuan Yang · 2015
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Fully-convolutional siamese networks for object tracking
Luca Bertinetto, Jack Valmadre, João F Henriques, Andrea Vedaldi, and Philip H S Torr · 2016
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Deep residual learning for image recognition
Kaiming He, Xiangyu Zhang, Shaoqing Ren, and Jian Sun · 2016
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A benchmark and simulator for UAV tracking
Matthias Mueller, Neil Smith, and Bernard Ghanem · 2016
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Learning multi–domain convolutional neural networks for visual tracking
Hyeonseob Nam and Bohyung Han · 2016
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Siamese instance search for tracking
Ran Tao, Efstratios Gavves, and Arnold W. M. Smeulders · 2016
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Attentional correlation filter network for adaptive visual tracking
Jongwon Choi, Hyung Jin Chang, Sangdoo Yun, Tobias Fischer, Yiannis Demiris, and Jin Young Choi · 2017
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ECO: Efficient convolution operators for tracking
Martin Danelljan, Goutam Bhat, Fahad Shahbaz Khan, and Michael Felsberg · 2017
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Need for speed: A benchmark for higher frame rate object tracking
Hamed Kiani Galoogahi, Ashton Fagg, Chen Huang, Deva Ramanan, and Simon Lucey · 2017
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Attention is all you need
Ashish Vaswani, Noam Shazeer, Niki Parmar, Jakob Uszkoreit, Llion Jones, Aidan N Gomez, Lukasz Kaiser, and Illia Polosukhin · 2017
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A twofold siamese network for real-time object tracking
Anfeng He, Chong Luo, Xinmei Tian, and Wenjun Zeng · 2018
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High performance visual tracking with siamese region proposal network
Bo Li, Junjie Yan, Wei Wu, Zheng Zhu, and Xiaolin Hu · 2018
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Deep visual tracking: Review and experimental comparison
Peixia Li, Dong Wang, Lijun Wang, and Huchuan Lu · 2018
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Decoupled weight decay regularization
Ilya Loshchilov and Frank Hutter · 2018
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TrackingNet: A large-scale dataset and benchmark for object tracking in the wild
Matthias Muller, Adel Bibi, Silvio Giancola, Salman Alsubaihi, and Bernard Ghanem · 2018
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Image transformer
Niki Parmar, Ashish Vaswani, Jakob Uszkoreit, Lukasz Kaiser, Noam Shazeer, Alexander Ku, and Dustin Tran · 2018
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Learning Attentions: Residual attentional siamese network for high performance online visual tracking
Qiang Wang, Zhu Teng, Junliang Xing, Jin Gao, Weiming Hu, and Stephen J. Maybank · 2018
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End-to-end flow correlation tracking with spatial-temporal attention
Zheng Zhu, Wei Wu, Wei Zou, and Junjie Yan · 2018
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Learning discriminative model prediction for tracking
Goutam Bhat, Martin Danelljan, Luc Van Gool, and Radu Timofte · 2019
Learning the model update for siamese trackers
Lichao Zhang, Abel Gonzalez-Garcia, Joost van de Weijer, Martin Danelljan, and Fahad Shahbaz Khan · 2019
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Know Your Surroundings: Exploiting scene information for object tracking
Goutam Bhat, Martin Danelljan, Luc Van Gool, and Radu Timofte · 2020
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End-to-end object detection with transformers
Nicolas Carion, Francisco Massa, Gabriel Synnaeve, Nicolas Usunier, Alexander Kirillov, and Sergey Zagoruyko · 2020
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Siamese box adaptive network for visual tracking
Zedu Chen, Bineng Zhong, Guorong Li, Shengping Zhang, and Rongrong Ji · 2020
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Probabilistic regression for visual tracking
Martin Danelljan, Luc Van Gool, and Radu Timofte · 2020
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An image is worth 16x16 words: Transformers for image recognition at scale
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Deep meta learning for real-time target-aware visual tracking
Janghoon Choi, Junseok Kwon, and Kyoung Mu Lee · 2019
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ATOM: Accurate tracking by overlap maximization
Martin Danelljan, Goutam Bhat, Fahad Shahbaz Khan, and Michael Felsberg · 2019
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BERT: Pre-training of deep bidirectional transformers for language understanding
Jacob Devlin, Ming-Wei Chang, Kenton Lee, and Kristina Toutanova · 2019
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LaSOT: A high-quality benchmark for large-scale single object tracking
Heng Fan, Liting Lin, Fan Yang, Peng Chu, Ge Deng, Sijia Yu, Hexin Bai, Yong Xu, Chunyuan Liao, and Haibin Ling · 2019
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Got-10k: A large high-diversity benchmark for generic object tracking in the wild
Lianghua Huang, Xin Zhao, and Kaiqi Huang · 2019
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SiamRPN++: Evolution of siamese visual tracking with very deep networks
Bo Li, Wei Wu, Qiang Wang, Fangyi Zhang, Junliang Xing, and Junjie Yan · 2019
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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
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Correlation-guided attention for corner detection based visual tracking
Fei Du, Peng Liu, Wei Zhao, and Xianglong Tang · 2020
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SiamCAR: Siamese fully convolutional classification and regression for visual tracking
Dongyan Guo, Jun Wang, Ying Cui, Zhenhua Wang, and Shengyong Chen · 2020
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D3S - A discriminative single shot segmentation tracker
Alan Lukezic, Jiri Matas, and Matej Kristan · 2020
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Siam R-CNN: Visual tracking by re-detection
Paul Voigtlaender, Jonathon Luiten, Philip H. S. Torr, and Bastian Leibe · 2020
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Tracking by Instance Detection: A meta-learning approach
Guangting Wang, Chong Luo, Xiaoyan Sun, Zhiwei Xiong, and Wenjun Zeng · 2020
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SiamFC++: Towards robust and accurate visual tracking with target estimation guidelines
Yinda Xu, Zeyu Wang, Zuoxin Li, Ye Yuan, and Gang Yu · 2020
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Deformable siamese attention networks for visual object tracking
Yuechen Yu, Yilei Xiong, Weilin Huang, and Matthew R. Scott · 2020
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Ocean: Object-aware anchor-free tracking
Zhipeng Zhang, Houwen Peng, Jianlong Fu, Bing Li, and Weiming Hu · 2020
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Learning feature embeddings for discriminant model based tracking
Linyu Zheng, Ming Tang, Yingying Chen, Jinqiao Wang, and Hanqing Lu · 2020
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Alpha-refine: Boosting tracking performance by precise bounding box estimation
Bin Yan, Xinyu Zhang, Dong Wang, Huchuan Lu, and Xiaoyun Yang · 2021
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