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One of the key factors behind the recent success in visual tracking is the availability of dedicated benchmarks.
Online object tracking: A benchmark
Yi Wu, Jongwoo Lim, and Ming-Hsuan Yang · 2013
Earlier work this paper cites.
Encoding color information for visual tracking: Algorithms and benchmark
Pengpeng Liang, Erik Blasch, and Haibin Ling · 2015
Earlier work this paper cites.
Object tracking benchmark
Yi Wu, Jongwoo Lim, and Ming-Hsuan Yang · 2015
Earlier work this paper cites.
A novel performance evaluation methodology for single-target trackers
Matej Kristan, Jiri Matas, Aleš Leonardis, Tomas Vojir, Roman Pflugfelder, Gustavo Fernandez, Georg Nebehay, Fatih Porikli, and Luka Čehovin · 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.
Need for speed: A benchmark for higher frame rate object tracking
Hamed Kiani Galoogahi, Ashton Fagg, Chen Huang, Deva Ramanan, and Simon Lucey · 2017
Earlier work this paper cites.
Trackingnet: A large-scale dataset and benchmark for object tracking in the wild
Matthias Müller, Adel Bibi, Silvio Giancola, Salman Al-Subaihi, and Bernard Ghanem · 2018
Earlier work this paper cites.
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
Earlier work this paper cites.
Learning discriminative model prediction for tracking
Goutam Bhat, Martin Danelljan, Luc Van Gool, and Radu Timofte · 2019
Earlier work this paper cites.
ATOM: Accurate tracking by overlap maximization
Martin Danelljan, Goutam Bhat, Fahad Shahbaz Khan, and Michael Felsberg · 2019
Cited alongside, same era.
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
Cited alongside, same era.
Siamrpn++: Evolution of siamese visual tracking with very deep networks
Bo Li, Wei Wu, Qiang Wang, Fangyi Zhang, Junliang Xing, and Junjie Yan · 2019
Cited alongside, same era.
Fast online object tracking and segmentation: A unifying approach
Qiang Wang, Li Zhang, Luca Bertinetto, Weiming Hu, and Philip H.S. Torr · 2019
Cited alongside, same era.
Know your surroundings: Exploiting scene information for object tracking
Goutam Bhat, Martin Danelljan, Luc Van Gool, and Radu Timofte · 2020
Cited alongside, same era.
Siamese box adaptive network for visual tracking
Ocean: Object-aware anchor-free tracking
Zhipeng Zhang, Houwen Peng, Jianlong Fu, Bing Li, and Weiming Hu · 2020
Later among the works it cites.
Transformer tracking
Xin Chen, Bin Yan, Jiawen Zhu, Dong Wang, Xiaoyun Yang, and Huchuan Lu · 2021
Later among the works it cites.
PyTracking: Visual tracking library based on PyTorch
Martin Danelljan and Goutam Bhat · 2021
Later among the works it cites.
Got-10k: A large high-diversity benchmark for generic object tracking in the wild
Lianghua Huang, Xin Zhao, and Kaiqi Huang · 2021
Later among the works it cites.
Learning target candidate association to keep track of what not to track
Christoph Mayer, Martin Danelljan, Danda Pani Paudel, and Luc Van Gool · 2021
Later among the works it cites.
Transformer meets tracker: Exploiting temporal context for robust visual tracking
Ning Wang, Wengang Zhou, Jie Wang, and Houqiang Li · 2021
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Zedu Chen, Bineng Zhong, Guorong Li, Shengping Zhang, and Rongrong Ji · 2020
Cited alongside, same era.
Probabilistic regression for visual tracking
Martin Danelljan, Luc Van Gool, and Radu Timofte · 2020
Cited alongside, same era.
Betrayed by motion: Camouflaged object discovery via motion segmentation
Hala Lamdouar, Charig Yang, Weidi Xie, and Andrew Zisserman · 2020
Cited alongside, same era.
Learning spatio-temporal transformer for visual tracking
Bin Yan, Houwen Peng, Jianlong Fu, Dong Wang, and Huchuan Lu
Cited in the paper.
Alpha-refine: Boosting tracking performance by precise bounding box estimation
Bin Yan, Xinyu Zhang, Dong Wang, Huchuan Lu, and Xiaoyun Yang
Cited in the paper.
Later among the works it cites.
Mixformer: End-to-end tracking with iterative mixed attention
Yutao Cui, Cheng Jiang, Limin Wang, and Gangshan Wu · 2022
Closest in time.
Transforming model prediction for tracking
Christoph Mayer, Martin Danelljan, Goutam Bhat, Matthieu Paul, Danda Pani Paudel, Fisher Yu, and Luc Van Gool · 2022
Closest in time.