2019-2020年目标跟踪论文汇总

素颜马尾好姑娘i 2023-01-06 04:22 1147阅读 0赞

## 1. 顶会论文 ##

[CVPR2020(共33篇)][CVPR2020_33]

## 1.1. CVPR2020 ##

### 多目标跟踪 ###

1.[How to Train Your Deep Multi-Object Tracker][]  
作者｜Yihong Xu, Aljosa Osep, Yutong Ban, Radu Horaud, Laura Leal-Taixe, Xavier Alameda-Pineda  
代码｜[https://github.com/yihongXU/deepMOT][https_github.com_yihongXU_deepMOT]

2.[Learning a Neural Solver for Multiple Object Tracking][]  
作者｜Guillem Braso, Laura Leal-Taixe  
代码｜[https://github.com/dvl-tum/mot\_neural\_solver][https_github.com_yihongXU_deepMOT]（PyTorch）

3.[GNN3DMOT: Graph Neural Network for 3D Multi-Object Tracking With 2D-3D Multi-Feature Learning][GNN3DMOT_ Graph Neural Network for 3D Multi-Object Tracking With 2D-3D Multi-Feature Learning]  
作者｜Xinshuo Weng, Yongxin Wang, Yunze Man, Kris M. Kitani  
代码｜[https://github.com/xinshuoweng/GNN3DMOT][https_github.com_xinshuoweng_GNN3DMOT]（PyTorch）

4.[A Unified Object Motion and Affinity Model for Online Multi-Object Tracking][]  
作者 | Junbo Yin, Wenguan Wang, Qinghao Meng, Ruigang Yang, Jianbing Shen  
单位 | 北京理工大学；苏黎世联邦理工学院；百度；IIAI等  
代码 | [https://github.com/yinjunbo/UMA-MOT][https_github.com_yinjunbo_UMA-MOT]

5.[Learning Multi-Object Tracking and Segmentation From Automatic Annotations][]  
作者 | Lorenzo Porzi, Markus Hofinger, Idoia Ruiz, Joan Serrat, Samuel Rota Bulo, Peter Kontschieder  
单位 | Mapillary Research；格拉茨技术大学等

6.[SQE: a Self Quality Evaluation Metric for Parameters Optimization in Multi-Object Tracking][SQE_ a Self Quality Evaluation Metric for Parameters Optimization in Multi-Object Tracking]  
作者 | Yanru Huang, Feiyu Zhu, Zheni Zeng, Xi Qiu, Yuan Shen, Jianan Wu  
单位 | 清华；旷视

7.[RetinaTrack: Online Single Stage Joint Detection and Tracking][RetinaTrack_ Online Single Stage Joint Detection and Tracking]  
作者 | Zhichao Lu, Vivek Rathod, Ronny Votel, Jonathan Huang  
单位 | 谷歌

### 目标跟踪与分割 ###

8.[State-Aware Tracker for Real-Time Video Object Segmentation][]  
作者 | Xi Chen, Zuoxin Li, Ye Yuan, Gang Yu, Jianxin Shen, Donglian Qi  
单位 | 浙江大学；旷视  
代码 | [https://github.com/XavierCHEN34/State-Aware-Tracker][https_github.com_XavierCHEN34_State-Aware-Tracker]

9.[Classifying, Segmenting, and Tracking Object Instances in Video with Mask Propagation][Classifying_ Segmenting_ and Tracking Object Instances in Video with Mask Propagation]  
作者 | Gedas Bertasius, Lorenzo Torresani  
单位 | Facebook AI  
网站 | [https://gberta.github.io/maskprop/][https_gberta.github.io_maskprop]

10.[Fast Template Matching and Update for Video Object Tracking and Segmentation][]  
作者 | Mingjie Sun, Jimin Xiao, Eng Gee Lim, Bingfeng Zhang, Yao Zhao  
单位 | 西郊利物浦大学；利物浦大学；北京交通大学  
代码 | [https://github.com/insomnia94/FTMU][https_github.com_insomnia94_FTMU]

11.[Video Instance Segmentation Tracking With a Modified VAE Architecture][]  
作者 | Chung-Ching Lin, Ying Hung, Rogerio Feris, Linglin He  
单位 | IBM Research AI；罗格斯大学

12.[D3S - A Discriminative Single Shot Segmentation Tracker][]  
作者 | Alan Lukezic, Jiri Matas, Matej Kristan  
单位 | 卢布尔雅那大学等

13.[MAST: A Memory-Augmented Self-Supervised Tracker][MAST_ A Memory-Augmented Self-Supervised Tracker]  
作者 | Zihang Lai, Erika Lu, Weidi Xie  
单位 | 牛津大学  
代码 | [https://github.com/zlai0/MAST][https_github.com_zlai0_MAST]

### 单目标跟踪 ###

14.[SiamCAR: Siamese Fully Convolutional Classification and Regression for Visual Tracking(Oral)][SiamCAR_ Siamese Fully Convolutional Classification and Regression for Visual Tracking_Oral]  
作者 | Dongyan Guo, Jun Wang, Ying Cui, Zhenhua Wang, Shengyong Chen  
单位 | 浙江大学；天津大学  
代码 | [https://github.com/ohhhyeahhh/SiamCAR][https_github.com_ohhhyeahhh_SiamCAR]

15.[Siamese Box Adaptive Network for Visual Tracking][]  
作者 | Zedu Chen, Bineng Zhong, Guorong Li, Shengping Zhang, Rongrong Ji\]  
单位 | 华侨大学；国科大；哈工大；鹏城实验室；厦门大学；南理工  
代码 | [https://github.com/hqucv/siamban][https_github.com_hqucv_siamban]

16.[Deformable Siamese Attention Networks for Visual Object Tracking][]  
作者 | Yuechen Yu, Yilei Xiong, Weilin Huang, Matthew R. Scott  
单位 | 深圳码隆科技

17.[Correlation-Guided Attention for Corner Detection Based Visual Tracking][]  
作者 | Fei Du, Peng Liu, Wei Zhao, Xianglong Tang  
单位 | 哈工大

18.[Siam R-CNN: Visual Tracking by Re-Detection][Siam R-CNN_ Visual Tracking by Re-Detection]  
作者 | Paul Voigtlaender, Jonathon Luiten, Philip H.S. Torr, Bastian Leibe  
单位 | 亚琛工业大学；牛津大学  
代码 | [http://www.vision.rwth-aachen.de/page/siamrcnn][http_www.vision.rwth-aachen.de_page_siamrcnn]

19.[Probabilistic Regression for Visual Tracking][]  
作者 | Martin Danelljan, Luc Van Gool, Radu Timofte  
单位 | 苏黎世联邦理工学院  
代码 | [https://github.com/visionml/pytracking][https_github.com_visionml_pytracking]

20.[Recursive Least-Squares Estimator-Aided Online Learning for Visual Tracking(Oral)][Recursive Least-Squares Estimator-Aided Online Learning for Visual Tracking_Oral]  
作者 | Jin Gao, Weiming Hu, Yan Lu  
单位 | 中科院自动化所；国科大；微软  
代码 | [https://github.com/Amgao/RLS-RTMDNet][https_github.com_Amgao_RLS-RTMDNet]

21.[ROAM: Recurrently Optimizing Tracking Model  
作者 | Tianyu Yang, Pengfei Xu, Runbo Hu, Hua Chai, Antoni B. Chan][ROAM_ Recurrently Optimizing Tracking Model _ _ Tianyu Yang_ Pengfei Xu_ Runbo Hu_ Hua Chai_ Antoni B. Chan]  
单位 | 腾讯AI；香港城市大学‘；滴滴  
代码 | [https://github.com/skyoung/ROAM][https_github.com_skyoung_ROAM]

22.[One-Shot Adversarial Attacks on Visual Tracking With Dual Attention][]  
作者 | Xuesong Chen, Xiyu Yan, Feng Zheng, Yong Jiang, Shu-Tao Xia, Yong Zhao, Rongrong Ji  
单位 | 北大；清华；南方科技大学；鹏城实验室；厦门大学

23.[AutoTrack: Towards High-Performance Visual Tracking for UAV With Automatic Spatio-Temporal Regularization  
作者 | Yiming Li, Changhong Fu, Fangqiang Ding, Ziyuan Huang, Geng Lu][AutoTrack_ Towards High-Performance Visual Tracking for UAV With Automatic Spatio-Temporal Regularization _ _ Yiming Li_ Changhong Fu_ Fangqiang Ding_ Ziyuan Huang_ Geng Lu]  
单位 | 同济大学；新加坡国立大学；清华  
代码 | [https://github.com/vision4robotics/AutoTrack][https_github.com_vision4robotics_AutoTrack]

### 长期跟踪 ###

24.[High-Performance Long-Term Tracking With Meta-Updater(Oral)][High-Performance Long-Term Tracking With Meta-Updater_Oral]  
作者 | Kenan Dai, Yunhua Zhang, Dong Wang, Jianhua Li, Huchuan Lu, Xiaoyun Yang  
单位 | 大连理工大学；阿姆斯特丹大学；鹏城实验室等  
代码 | [https://github.com/Daikenan/LTMU][https_github.com_Daikenan_LTMU]

### 3D目标跟踪 ###

25.[P2B: Point-to-Box Network for 3D Object Tracking in Point Clouds][P2B_ Point-to-Box Network for 3D Object Tracking in Point Clouds]  
作者 | Haozhe Qi, Chen Feng, Zhiguo Cao, Feng Zhao, Yang Xiao  
单位 | 华中科技大学  
代码 | [https://github.com/HaozheQi/P2B][https_github.com_HaozheQi_P2B]

26.[Joint Spatial-Temporal Optimization for Stereo 3D Object Tracking][]  
作者 | Peiliang Li, Jieqi Shi, Shaojie Shen  
单位 | 香港科技大学

27.[PnPNet: End-to-End Perception and Prediction With Tracking in the Loop][PnPNet_ End-to-End Perception and Prediction With Tracking in the Loop]  
作者 | Ming Liang, Bin Yang, Wenyuan Zeng, Yun Chen, Rui Hu, Sergio Casas, Raquel Urtasun  
单位 | Uber ATG；多伦多大学

### 细胞跟踪 ###

28.[MPM: Joint Representation of Motion and Position Map for Cell Tracking][MPM_ Joint Representation of Motion and Position Map for Cell Tracking]  
作者 | Junya Hayashida, Kazuya Nishimura, Ryoma Bise  
单位 | 日本九州大学  
代码 | [https://github.com/JunyaHayashida/MPM][https_github.com_JunyaHayashida_MPM]

### 目标跟踪鲁棒性研究 ###

29.[Cooling-Shrinking Attack: Blinding the Tracker With Imperceptible Noises][Cooling-Shrinking Attack_ Blinding the Tracker With Imperceptible Noises]  
作者 | Bin Yan, Dong Wang, Huchuan Lu, Xiaoyun Yang  
单位 | 大连理工大学；鹏城实验室等  
代码 | [https://github.com/MasterBin-IIAU/CSA][https_github.com_MasterBin-IIAU_CSA]

### 可见光与红外图像的目标跟踪 ###

30.[Cross-Modal Pattern-Propagation for RGB-T Tracking][]  
作者 | Chaoqun Wang, Chunyan Xu, Zhen Cui, Ling Zhou, Tong Zhang, Xiaoya Zhang, Jian Yang  
单位 | 南京理工大学

### 基于多谱勒雷达非视线区域的目标检测与跟踪 ###

31.[Seeing Around Street Corners: Non-Line-of-Sight Detection and Tracking In-the-Wild Using Doppler Radar][Seeing Around Street Corners_ Non-Line-of-Sight Detection and Tracking In-the-Wild Using Doppler Radar]  
作者 | Nicolas Scheiner, Florian Kraus, Fangyin Wei, Buu Phan, Fahim Mannan, Nils Appenrodt, Werner Ritter, Jurgen Dickmann, Klaus Dietmayer, Bernhard Sick, Felix Heide  
单位 | 奔驰汽车公司;普林斯顿大学;Algolux;乌尔姆大学等

### 3D斑马鱼跟踪数据集 ###

32.[3D-ZeF: A 3D Zebrafish Tracking Benchmark Dataset][3D-ZeF_ A 3D Zebrafish Tracking Benchmark Dataset]  
作者 | Malte Pedersen, Joakim Bruslund Haurum, Stefan Hein Bengtson, Thomas B. Moeslund  
单位 | 奥尔堡大学  
代码 | [https://bitbucket.org/aauvap/3d-zef/src/master/][https_bitbucket.org_aauvap_3d-zef_src_master]

网站 | [https://vap.aau.dk/3d-zef/][https_vap.aau.dk_3d-zef]

### 非刚体物体跟踪 ###

33.[Learning to Optimize Non-Rigid Tracking][]  
作者 | Yang Li, Aljaz Bozic, Tianwei Zhang, Yanli Ji, Tatsuya Harada, Matthias Niessner  
单位 | 东京大学；电子科技大学；日本理化学研究所RIKEN；慕尼黑工业大学

## 1.2. ECCV2020 ##

[ECCV2020（共26篇）][ECCV2020_26]  
1.[Segment as Points for Efficient Online Multi-Object Tracking and Segmentation][]  
作者｜Zhenbo Xu, Wei Zhang, Xiao Tan, Wei Yang, Huan Huang, Shilei Wen, Errui Ding, Liusheng Huang  
代码｜[https://github.com/detectRecog/PointTrack][https_github.com_detectRecog_PointTrack]

2.[Chained-Tracker: Chaining Paired Attentive Regression Results for End-to-End Joint Multiple-Object Detection and Tracking][Chained-Tracker_ Chaining Paired Attentive Regression Results for End-to-End Joint Multiple-Object Detection and Tracking]  
作者｜Jinlong Peng, Changan Wang, Fangbin Wan, Yang Wu, Yabiao Wang, Ying Tai, Chengjie Wang, Jilin Li, Feiyue Huang, Yanwei Fu

3.Tracking objects as points

4.[TAO: A Large-scale Benchmark for Tracking Any Object][TAO_ A Large-scale Benchmark for Tracking Any Object]  
作者｜Achal Dave, Tarasha Khurana, Pavel Tokmakov, Cordelia Schmid, Deva Ramanan  
代码｜[https://github.com/TAO-Dataset/tao][https_github.com_TAO-Dataset_tao]

5.[Weakly-Supervised Cell Tracking via Backward-and-Forward Propagation][]  
作者｜Kazuya Nishimura, Junya Hayashida, Chenyang Wang, Dai Fei Elmer Ker, Ryoma Bise  
代码｜[https://github.com/naivete5656/WSCTBFP][https_github.com_naivete5656_WSCTBFP]

6.[Towards End-to-end Video-based Eye-Tracking][]  
作者｜Seonwook Park, Emre Aksan, Xucong Zhang, Otmar Hilliges  
代码｜[https://ait.ethz.ch/projects/2020/EVE][https_ait.ethz.ch_projects_2020_EVE]

7.Unsupervised Video Object Segmentation with Joint Hotspot Tracking

8.Learning Feature Embeddings for Discriminant Model based Tracking

9.[Guessing State Tracking for Visual Dialogue][]  
作者｜Wei Pang, Xiaojie Wang  
代码｜[https://github.com/xubuvd/guesswhat][https_github.com_xubuvd_guesswhat]

10.[TRADI: Tracking deep neural network weight distributions][TRADI_ Tracking deep neural network weight distributions]  
作者｜Gianni Franchi, Andrei Bursuc, Emanuel Aldea, Severine Dubuisson, Isabelle Bloch

11.Deep Learning-based Pupil Center Detection for Fast and Accurate Eye Tracking System  
demo｜[https://www.youtube.com/watch?v=8t2FLz\_ucvs][https_www.youtube.com_watch_v_8t2FLz_ucvs]

12.[Robust Tracking against Adversarial Attacks][]  
作者｜Shuai Jia, Chao Ma, Yibing Song, Xiaokang Yang

13.[Self-supervised Keypoint Correspondences for Multi-Person Pose Estimation and Tracking in Videos][]  
作者｜Umer Rafi, Andreas Doering, Bastian Leibe, Juergen Gall

xiv. CLNet: A Compact Latent Network for Fast Adjusting Siamese Tracker

15.[Learning Object-aware Anchor-free Networks for Real-time Object Tracking][]  
作者｜Zhipeng Zhang，Houwen Peng，Jianlong Fu，Bing Li，Weiming Hu  
代码｜[https://github.com/researchmm/TracKit][https_github.com_researchmm_TracKit]

16.Object Tracking using Spatio-Temporal Networks for Future Prediction Location

17.LC-VSLAM: Real-time Tracking and Bundle Adjustment in Line-Cloud

18.[Challenge-Aware RGBT Tracking][]  
作者｜Chenglong Li, Lei Liu, Andong Lu, Qing Ji, Jin Tang

19.PG-Net: Pixel to Global Matching Network for Visual Tracking

20.[Temporal Keypoint Matching and Refinement Network for Pose Estimation and Tracking][]  
作者｜Chunluan Zhou，Zhou Ren，Gang Hua

21.[Know Your Surroundings: Exploiting Scene Information for Object Tracking][Know Your Surroundings_ Exploiting Scene Information for Object Tracking]  
作者｜Goutam Bhat, Martin Danelljan, Luc Van Gool, Radu Timofte

22.[Simultaneous Detection and Tracking with Motion Modelling for Multiple Object Tracking][]  
作者｜ShiJie Sun, Naveed Akhtar, XiangYu Song, HuanSheng Song, Ajmal Mian, and Mubarak Shah  
代码｜[https://github.com/shijieS/OmniMOTDataset][https_github.com_shijieS_OmniMOTDataset]

23.[SPARK: Spatial-aware Online Incremental Attack Against Visual Tracking][SPARK_ Spatial-aware Online Incremental Attack Against Visual Tracking]  
作者｜Qing Guo, Xiaofei Xie, Felix Juefei-Xu, Lei Ma, Zhongguo Li, Wanli Xue, Wei Feng, Yang Liu

24.[Efficient Adversarial Attacks for Visual Object Tracking][]  
作者｜Siyuan Liang, Xingxing Wei, Siyuan Yao, Xiaochun Cao

25.[Tracking Emerges by Looking Around Static Scenes, with Neural 3D Mapping][Tracking Emerges by Looking Around Static Scenes_ with Neural 3D Mapping]  
作者｜Adam W. Harley, Shrinidhi K. Lakshmikanth, Paul Schydlo, Katerina Fragkiadaki

26.Stereo Event-based Particle Tracking Velocimetry for 3D Fluid Flow Reconstruction

## 1.3. CVPR2019 ##

[CVPR2019（共19篇）][CVPR2019_19]

### 单目标跟踪 ###

1.[Unsupervised Deep Tracking][]  
作者｜Ning Wang, Yibing Song, Chao Ma, Wengang Zhou, Wei Liu, Houqiang Li  
代码｜[https://github.com/594422814/UDT/][https_github.com_594422814_UDT]

2.[Tracking by Animation: Unsupervised Learning of Multi-Object Attentive Trackers][Tracking by Animation_ Unsupervised Learning of Multi-Object Attentive Trackers]  
作者｜Zhen He, Jian Li, Daxue Liu, Hangen He, David Barber  
代码｜[https://github.com/zhen-he/tracking-by-animation][https_github.com_zhen-he_tracking-by-animation]

3.[Object Tracking by Reconstruction With View-Specific Discriminative Correlation Filters][]  
作者｜Ugur Kart, Alan Lukezic, Matej Kristan, Joni-Kristian Kamarainen, Jiri Matas

4.[Target-Aware Deep Tracking][]  
作者｜Xin Li, Chao Ma, Baoyuan Wu, Zhenyu He, Ming-Hsuan Yang  
代码｜[https://github.com/XinLi-zn/TADT][https_github.com_XinLi-zn_TADT]  
代码｜[https://github.com/ZikunZhou/TADT-python][https_github.com_ZikunZhou_TADT-python]

5.[SPM-Tracker: Series-Parallel Matching for Real-Time Visual Object Tracking][SPM-Tracker_ Series-Parallel Matching for Real-Time Visual Object Tracking]  
作者｜Guangting Wang, Chong Luo, Zhiwei Xiong, Wenjun Zeng

6.[SiamRPN++: Evolution of Siamese Visual Tracking With Very Deep Networks][SiamRPN_ Evolution of Siamese Visual Tracking With Very Deep Networks]  
作者｜Bo Li, Wei Wu, Qiang Wang, Fangyi Zhang, Junliang Xing, Junjie Yan  
代码｜[https://github.com/STVIR/pysot][https_github.com_STVIR_pysot]

7.[Deeper and Wider Siamese Networks for Real-Time Visual Tracking][]  
作者｜Zhipeng Zhang, Houwen Peng  
代码｜[https://github.com/researchmm/SiamDW][https_github.com_researchmm_SiamDW]

8.[Graph Convolutional Tracking][]  
作者｜Junyu Gao, Tianzhu Zhang, Changsheng Xu  
代码｜[https://nlpr-web.ia.ac.cn/mmc/homepage/jygao/gct\_cvpr2019.html\#][https_nlpr-web.ia.ac.cn_mmc_homepage_jygao_gct_cvpr2019.html]

9.[ATOM: Accurate Tracking by Overlap Maximization][ATOM_ Accurate Tracking by Overlap Maximization]  
作者｜Martin Danelljan, Goutam Bhat, Fahad Shahbaz Khan, Michael Felsberg  
代码｜[https://github.com/visionml/pytracking][https_github.com_visionml_pytracking]

10.[Visual Tracking via Adaptive Spatially-Regularized Correlation Filters][]  
作者｜Kenan Dai, Dong Wang, Huchuan Lu, Chong Sun, Jianhua Li  
代码｜[https://github.com/Daikenan/ASRCF][https_github.com_Daikenan_ASRCF]

11.[ROI Pooled Correlation Filters for Visual Tracking][]  
作者｜Yuxuan Sun, Chong Sun, Dong Wang, You He, Huchuan Lu

12.[Siamese Cascaded Region Proposal Networks for Real-Time Visual Tracking][]  
作者｜Heng Fan, Haibin Ling

### 多目标跟踪 ###

13.[Eliminating Exposure Bias and Metric Mismatch in Multiple Object Tracking][]  
作者｜Andrii Maksai, Pascal Fua

14.[MOTS: Multi-Object Tracking and Segmentation][MOTS_ Multi-Object Tracking and Segmentation]  
作者｜Paul Voigtlaender, Michael Krause, Aljosa Osep, Jonathon Luiten, Berin Balachandar Gnana Sekar, Andreas Geiger, Bastian Leibe  
代码｜[https://www.vision.rwth-aachen.de/page/mots][https_www.vision.rwth-aachen.de_page_mots]

### 跟踪与分割 ###

15.[Fast Online Object Tracking and Segmentation: A Unifying Approach][Fast Online Object Tracking and Segmentation_ A Unifying Approach]  
作者｜Qiang Wang, Li Zhang, Luca Bertinetto, Weiming Hu, Philip H.S. Torr  
代码｜[https://github.com/foolwood/SiamMask][https_github.com_foolwood_SiamMask]

### 3D目标跟踪 ###

16.[Leveraging Shape Completion for 3D Siamese Tracking][]  
作者｜Silvio Giancola, Jesus Zarzar, Bernard Ghanem  
代码｜[https://github.com/SilvioGiancola/ShapeCompletion3DTracking][https_github.com_SilvioGiancola_ShapeCompletion3DTracking]

### 跟踪数据集 ###

17.[LaSOT: A High-Quality Benchmark for Large-Scale Single Object Tracking][LaSOT_ A High-Quality Benchmark for Large-Scale Single Object Tracking]  
作者｜Heng Fan, Liting Lin, Fan Yang, Peng Chu, Ge Deng, Sijia Yu, Hexin Bai, Yong Xu, Chunyuan Liao, Haibin Ling  
代码｜[https://cis.temple.edu/lasot/index.html][https_cis.temple.edu_lasot_index.html]

18.[Argoverse: 3D Tracking and Forecasting With Rich Maps][Argoverse_ 3D Tracking and Forecasting With Rich Maps]  
作者｜Ming-Fang Chang, John Lambert, Patsorn Sangkloy, Jagjeet Singh, Slawomir Bak, Andrew Hartnett, De Wang, Peter Carr, Simon Lucey, Deva Ramanan, James Hays  
代码｜[https://www.argoverse.org/][https_www.argoverse.org]

19.[CityFlow: A City-Scale Benchmark for Multi-Target Multi-Camera Vehicle Tracking and Re-Identification][CityFlow_ A City-Scale Benchmark for Multi-Target Multi-Camera Vehicle Tracking and Re-Identification]  
作者｜Zheng Tang, Milind Naphade, Ming-Yu Liu, Xiaodong Yang, Stan Birchfield, Shuo Wang, Ratnesh Kumar, David Anastasiu, Jenq-Neng Hwang  
代码｜[https://www.aicitychallenge.org/][https_www.aicitychallenge.org]

## 1.4. ICCV2019 ##

[ICCV2019（共11篇）][ICCV2019_11]

1.DiMP: Goutam Bhat, Martin Danelljan, Luc Van Gool, Radu Timofte.  
“[Learning Discriminative Model Prediction for Tracking.][]” ICCV (2019 oral). [\[code\]][https_github.com_visionml_pytracking]

2.GradNet: Peixia Li, Boyu Chen, Wanli Ouyang, Dong Wang, Xiaoyun Yang, Huchuan Lu.  
“[GradNet: Gradient-Guided Network for Visual Object Tracking.][GradNet_ Gradient-Guided Network for Visual Object Tracking.]” ICCV (2019 oral). [\[code\]][code]

3.MLT: Janghoon Choi, Junseok Kwon, Kyoung Mu Lee.  
“[Deep Meta Learning for Real-Time Target-Aware Visual Tracking.][]” ICCV (2019).

4.SPLT: Bin Yan, Haojie Zhao, Dong Wang, Huchuan Lu, Xiaoyun Yang  
“[‘Skimming-Perusal’ Tracking: A Framework for Real-Time and Robust Long-Term Tracking.][Skimming-Perusal_ Tracking_ A Framework for Real-Time and Robust Long-Term Tracking.]” ICCV (2019). [\[code\]][code 1]

5.ARCF: Ziyuan Huang, Changhong Fu, Yiming Li, Fuling Lin, Peng Lu.  
“[Learning Aberrance Repressed Correlation Filters for Real-Time UAV Tracking.][]” ICCV (2019). [\[code\]][code 2]

6.Lianghua Huang, Xin Zhao, Kaiqi Huang.  
“[Bridging the Gap Between Detection and Tracking: A Unified Approach.][Bridging the Gap Between Detection and Tracking_ A Unified Approach.]” ICCV (2019).

7.PAT: Rey Reza Wiyatno, Anqi Xu.  
“[Physical Adversarial Textures That Fool Visual Object Tracking.][]” ICCV (2019).

8.GFS-DCF: Tianyang Xu, Zhen-Hua Feng, Xiao-Jun Wu, Josef Kittler.  
“[Joint Group Feature Selection and Discriminative Filter Learning for Robust Visual Object Tracking.][]” ICCV (2019). [\[code\]][code 3]

9.CDTB: Alan Lukežič, Ugur Kart, Jani Käpylä, Ahmed Durmush, Joni-Kristian Kämäräinen, Jiří Matas, Matej Kristan.

“[CDTB: A Color and Depth Visual Object Tracking Dataset and Benchmark.][CDTB_ A Color and Depth Visual Object Tracking Dataset and Benchmark.]” ICCV (2019).

## 2.benchmark ##

两篇综述性论文：

1.[Deep Learning for Visual Tracking: A Comprehensive Survey][Deep Learning for Visual Tracking_ A Comprehensive Survey]  
23页、207篇参考文献的多目标跟踪综述（2013-2019）。在OTB2013、OTB2015、VOT2018和LaSOT上对基于深度学习的最新目标跟踪方法进行了全面综述：介绍14种常用视觉跟踪数据集，超过50种历年的SOTA算法(如SiamRPN++)。  
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2.[DEEP LEARNING IN VIDEO MULTI-OBJECT TRACKING: A SURVEY][DEEP LEARNING IN VIDEO MULTI-OBJECT TRACKING_ A SURVEY]  
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*  **LaSOT:** Heng Fan, Liting Lin, Fan Yang, Peng Chu, Ge Deng, Sijia Yu, Hexin Bai, Yong Xu, Chunyuan Liao, Haibin Ling. “[Deep Meta Learning for Real-Time Visual Tracking based on Target-Specific Feature Space.][]” arXiv (2018). [\[project\]][project]
 *  **OxUvA long-term dataset+benchmark:** Jack Valmadre, Luca Bertinetto, João F. Henriques, Ran Tao, Andrea Vedaldi, Arnold Smeulders, Philip Torr, Efstratios Gavves.  
    “[Long-term Tracking in the Wild: a Benchmark.][Long-term Tracking in the Wild_ a Benchmark.]” ECCV (2018). [\[project\]][project 1]

**TrackingNet:** Matthias Müller, Adel Bibi, Silvio Giancola, Salman Al-Subaihi, Bernard Ghanem.  
“[TrackingNet: A Large-Scale Dataset and Benchmark for Object Tracking in the Wild.][TrackingNet_ A Large-Scale Dataset and Benchmark for Object Tracking in the Wild.]” ECCV (2018). [\[project\]][project 2]

**UAVDT:** Dawei Du, Yuankai Qi, Hongyang Yu, Yifang Yang, Kaiwen Duan, GuoRong Li, Weigang Zhang, Weihai; Qingming Huang, Qi Tian.  
“[The Unmanned Aerial Vehicle Benchmark: Object Detection and Tracking.][The Unmanned Aerial Vehicle Benchmark_ Object Detection and Tracking.]” ECCV (2018). \[paper\]

## 3.实验室 ##

（以下排名不分先后，可能有遗漏，欢迎补充）

上海交通大学：[林巍峣][Link 1]

大连理工大学：[卢湖川][Link 2]

澳大利亚国立大学：[Hongdong Li][]

香港理工大学：[Lei Zhang][]

中国科学院自动化研究所：[张天柱][Link 3]

上海交通大学：[CHAO MA][]

加州大学默塞德分校：[Ming-Hsuan Yang][]

卢布尔雅那大学卢布尔雅那大学：[Matej Kristan][]

哈佛大学：[João F. Henriques，Luca Bertinetto][Jo_o F. Henriques_Luca Bertinetto]  
[Torr Vision Group][]

苏黎世联邦理工学院：[Martin Danelljan][]

商汤科技tracking组：武伟，王强，朱政

腾讯 AI Lab [宋奕兵][Link 4]

阿里巴巴：ET实验室

参考 [https://zhuanlan.zhihu.com/p/183143487][https_zhuanlan.zhihu.com_p_183143487]

GitHub：[https://github.com/extreme-assistant/Object-Tracking-Paper-Benchmark-Team][https_github.com_extreme-assistant_Object-Tracking-Paper-Benchmark-Team]

[CVPR2020_33]: https://bbs.cvmart.net/topics/2733
[How to Train Your Deep Multi-Object Tracker]: https://arxiv.org/abs/1906.06618
[https_github.com_yihongXU_deepMOT]: https://github.com/yihongXU/deepMOT
[Learning a Neural Solver for Multiple Object Tracking]: https://arxiv.org/abs/1912.07515
[GNN3DMOT_ Graph Neural Network for 3D Multi-Object Tracking With 2D-3D Multi-Feature Learning]: https://arxiv.org/abs/2006.07327
[https_github.com_xinshuoweng_GNN3DMOT]: https://github.com/xinshuoweng/GNN3DMOT%EF%BC%88PyTorch%EF%BC%89
[A Unified Object Motion and Affinity Model for Online Multi-Object Tracking]: https://arxiv.org/abs/2003.11291
[https_github.com_yinjunbo_UMA-MOT]: https://github.com/yinjunbo/UMA-MOT
[Learning Multi-Object Tracking and Segmentation From Automatic Annotations]: https://arxiv.org/abs/1912.02096
[SQE_ a Self Quality Evaluation Metric for Parameters Optimization in Multi-Object Tracking]: https://arxiv.org/abs/2004.07472
[RetinaTrack_ Online Single Stage Joint Detection and Tracking]: https://arxiv.org/abs/2003.13870
[State-Aware Tracker for Real-Time Video Object Segmentation]: https://arxiv.org/abs/2003.00482
[https_github.com_XavierCHEN34_State-Aware-Tracker]: https://github.com/XavierCHEN34/State-Aware-Tracker
[Classifying_ Segmenting_ and Tracking Object Instances in Video with Mask Propagation]: https://arxiv.org/abs/1912.04573
[https_gberta.github.io_maskprop]: https://gberta.github.io/maskprop/
[Fast Template Matching and Update for Video Object Tracking and Segmentation]: https://arxiv.org/abs/2004.07538
[https_github.com_insomnia94_FTMU]: https://github.com/insomnia94/FTMU
[Video Instance Segmentation Tracking With a Modified VAE Architecture]: https://openaccess.thecvf.com/content_CVPR_2020/papers/Lin_Video_Instance_Segmentation_Tracking_With_a_Modified_VAE_Architecture_CVPR_2020_paper.pdf
[D3S - A Discriminative Single Shot Segmentation Tracker]: http://openaccess.thecvf.com/content_CVPR_2020/html/Lukezic_D3S_-_A_Discriminative_Single_Shot_Segmentation_Tracker_CVPR_2020_paper.html
[MAST_ A Memory-Augmented Self-Supervised Tracker]: http://openaccess.thecvf.com/content_CVPR_2020/html/Lai_MAST_A_Memory-Augmented_Self-Supervised_Tracker_CVPR_2020_paper.html
[https_github.com_zlai0_MAST]: https://github.com/zlai0/MAST
[SiamCAR_ Siamese Fully Convolutional Classification and Regression for Visual Tracking_Oral]: http://openaccess.thecvf.com/content_CVPR_2020/html/Guo_SiamCAR_Siamese_Fully_Convolutional_Classification_and_Regression_for_Visual_Tracking_CVPR_2020_paper.html
[https_github.com_ohhhyeahhh_SiamCAR]: https://github.com/ohhhyeahhh/SiamCAR
[Siamese Box Adaptive Network for Visual Tracking]: http://openaccess.thecvf.com/content_CVPR_2020/html/Chen_Siamese_Box_Adaptive_Network_for_Visual_Tracking_CVPR_2020_paper.html
[https_github.com_hqucv_siamban]: https://github.com/hqucv/siamban
[Deformable Siamese Attention Networks for Visual Object Tracking]: http://openaccess.thecvf.com/content_CVPR_2020/html/Yu_Deformable_Siamese_Attention_Networks_for_Visual_Object_Tracking_CVPR_2020_paper.html
[Correlation-Guided Attention for Corner Detection Based Visual Tracking]: http://openaccess.thecvf.com/content_CVPR_2020/html/Du_Correlation-Guided_Attention_for_Corner_Detection_Based_Visual_Tracking_CVPR_2020_paper.html
[Siam R-CNN_ Visual Tracking by Re-Detection]: http://openaccess.thecvf.com/content_CVPR_2020/html/Voigtlaender_Siam_R-CNN_Visual_Tracking_by_Re-Detection_CVPR_2020_paper.html
[http_www.vision.rwth-aachen.de_page_siamrcnn]: http://www.vision.rwth-aachen.de/page/siamrcnn
[Probabilistic Regression for Visual Tracking]: http://openaccess.thecvf.com/content_CVPR_2020/html/Danelljan_Probabilistic_Regression_for_Visual_Tracking_CVPR_2020_paper.html
[https_github.com_visionml_pytracking]: https://github.com/visionml/pytracking
[Recursive Least-Squares Estimator-Aided Online Learning for Visual Tracking_Oral]: http://openaccess.thecvf.com/content_CVPR_2020/html/Gao_Recursive_Least-Squares_Estimator-Aided_Online_Learning_for_Visual_Tracking_CVPR_2020_paper.html
[https_github.com_Amgao_RLS-RTMDNet]: https://github.com/Amgao/RLS-RTMDNet
[ROAM_ Recurrently Optimizing Tracking Model _ _ Tianyu Yang_ Pengfei Xu_ Runbo Hu_ Hua Chai_ Antoni B. Chan]: http://openaccess.thecvf.com/content_CVPR_2020/html/Yang_ROAM_Recurrently_Optimizing_Tracking_Model_CVPR_2020_paper.html
[https_github.com_skyoung_ROAM]: https://github.com/skyoung/ROAM
[One-Shot Adversarial Attacks on Visual Tracking With Dual Attention]: http://openaccess.thecvf.com/content_CVPR_2020/html/Chen_One-Shot_Adversarial_Attacks_on_Visual_Tracking_With_Dual_Attention_CVPR_2020_paper.html
[AutoTrack_ Towards High-Performance Visual Tracking for UAV With Automatic Spatio-Temporal Regularization _ _ Yiming Li_ Changhong Fu_ Fangqiang Ding_ Ziyuan Huang_ Geng Lu]: http://openaccess.thecvf.com/content_CVPR_2020/html/Li_AutoTrack_Towards_High-Performance_Visual_Tracking_for_UAV_With_Automatic_Spatio-Temporal_CVPR_2020_paper.html
[https_github.com_vision4robotics_AutoTrack]: https://github.com/vision4robotics/AutoTrack
[High-Performance Long-Term Tracking With Meta-Updater_Oral]: http://openaccess.thecvf.com/content_CVPR_2020/html/Dai_High-Performance_Long-Term_Tracking_With_Meta-Updater_CVPR_2020_paper.html
[https_github.com_Daikenan_LTMU]: https://github.com/Daikenan/LTMU
[P2B_ Point-to-Box Network for 3D Object Tracking in Point Clouds]: http://openaccess.thecvf.com/content_CVPR_2020/html/Qi_P2B_Point-to-Box_Network_for_3D_Object_Tracking_in_Point_Clouds_CVPR_2020_paper.html
[https_github.com_HaozheQi_P2B]: https://github.com/HaozheQi/P2B
[Joint Spatial-Temporal Optimization for Stereo 3D Object Tracking]: http://openaccess.thecvf.com/content_CVPR_2020/html/Li_Joint_Spatial-Temporal_Optimization_for_Stereo_3D_Object_Tracking_CVPR_2020_paper.html
[PnPNet_ End-to-End Perception and Prediction With Tracking in the Loop]: http://openaccess.thecvf.com/content_CVPR_2020/html/Liang_PnPNet_End-to-End_Perception_and_Prediction_With_Tracking_in_the_Loop_CVPR_2020_paper.html
[MPM_ Joint Representation of Motion and Position Map for Cell Tracking]: http://openaccess.thecvf.com/content_CVPR_2020/html/Hayashida_MPM_Joint_Representation_of_Motion_and_Position_Map_for_Cell_CVPR_2020_paper.html
[https_github.com_JunyaHayashida_MPM]: https://github.com/JunyaHayashida/MPM
[Cooling-Shrinking Attack_ Blinding the Tracker With Imperceptible Noises]: http://openaccess.thecvf.com/content_CVPR_2020/html/Yan_Cooling-Shrinking_Attack_Blinding_the_Tracker_With_Imperceptible_Noises_CVPR_2020_paper.html
[https_github.com_MasterBin-IIAU_CSA]: https://github.com/MasterBin-IIAU/CSA
[Cross-Modal Pattern-Propagation for RGB-T Tracking]: http://openaccess.thecvf.com/content_CVPR_2020/html/Wang_Cross-Modal_Pattern-Propagation_for_RGB-T_Tracking_CVPR_2020_paper.html
[Seeing Around Street Corners_ Non-Line-of-Sight Detection and Tracking In-the-Wild Using Doppler Radar]: http://openaccess.thecvf.com/content_CVPR_2020/html/Scheiner_Seeing_Around_Street_Corners_Non-Line-of-Sight_Detection_and_Tracking_In-the-Wild_Using_CVPR_2020_paper.html
[3D-ZeF_ A 3D Zebrafish Tracking Benchmark Dataset]: http://openaccess.thecvf.com/content_CVPR_2020/html/Pedersen_3D-ZeF_A_3D_Zebrafish_Tracking_Benchmark_Dataset_CVPR_2020_paper.html
[https_bitbucket.org_aauvap_3d-zef_src_master]: https://bitbucket.org/aauvap/3d-zef/src/master/
[https_vap.aau.dk_3d-zef]: https://vap.aau.dk/3d-zef/
[Learning to Optimize Non-Rigid Tracking]: http://openaccess.thecvf.com/content_CVPR_2020/html/Li_Learning_to_Optimize_Non-Rigid_Tracking_CVPR_2020_paper.html
[ECCV2020_26]: https://bbs.cvmart.net/topics/3097
[Segment as Points for Efficient Online Multi-Object Tracking and Segmentation]: https://arxiv.org/abs/2007.01550
[https_github.com_detectRecog_PointTrack]: https://github.com/detectRecog/PointTrack
[Chained-Tracker_ Chaining Paired Attentive Regression Results for End-to-End Joint Multiple-Object Detection and Tracking]: https://arxiv.org/abs/2007.14557
[TAO_ A Large-scale Benchmark for Tracking Any Object]: https://arxiv.org/abs/2005.10356
[https_github.com_TAO-Dataset_tao]: https://github.com/TAO-Dataset/tao
[Weakly-Supervised Cell Tracking via Backward-and-Forward Propagation]: http://arxiv.org/abs/2007.15258
[https_github.com_naivete5656_WSCTBFP]: https://github.com/naivete5656/WSCTBFP
[Towards End-to-end Video-based Eye-Tracking]: https://arxiv.org/abs/2007.13120
[https_ait.ethz.ch_projects_2020_EVE]: https://ait.ethz.ch/projects/2020/EVE
[Guessing State Tracking for Visual Dialogue]: https://arxiv.org/abs/2002.10340
[https_github.com_xubuvd_guesswhat]: https://github.com/xubuvd/guesswhat
[TRADI_ Tracking deep neural network weight distributions]: https://arxiv.org/abs/1912.11316
[https_www.youtube.com_watch_v_8t2FLz_ucvs]: https://www.youtube.com/watch?v=8t2FLz_ucvs
[Robust Tracking against Adversarial Attacks]: https://arxiv.org/abs/2007.09919
[Self-supervised Keypoint Correspondences for Multi-Person Pose Estimation and Tracking in Videos]: https://arxiv.org/abs/2004.12652
[Learning Object-aware Anchor-free Networks for Real-time Object Tracking]: https://arxiv.org/pdf/2006.10721.pdf
[https_github.com_researchmm_TracKit]: https://github.com/researchmm/TracKit
[Challenge-Aware RGBT Tracking]: https://arxiv.org/abs/2007.13143
[Temporal Keypoint Matching and Refinement Network for Pose Estimation and Tracking]: http://web.cs.ucla.edu/~zhou.ren/ECCV2020_poseTracking.pdf
[Know Your Surroundings_ Exploiting Scene Information for Object Tracking]: https://arxiv.org/abs/2003.11014
[Simultaneous Detection and Tracking with Motion Modelling for Multiple Object Tracking]: https://www.crcv.ucf.edu/wp-content/uploads/2020/07/Publications_Simultaneous-Detection-and-Tracking-with-Motion-Modelling-for-Multiple-Object-Tracking.pdf
[https_github.com_shijieS_OmniMOTDataset]: https://github.com/shijieS/OmniMOTDataset
[SPARK_ Spatial-aware Online Incremental Attack Against Visual Tracking]: https://arxiv.org/abs/1910.08681
[Efficient Adversarial Attacks for Visual Object Tracking]: https://arxiv.org/abs/2008.00217
[Tracking Emerges by Looking Around Static Scenes_ with Neural 3D Mapping]: https://arxiv.org/abs/2008.01295
[CVPR2019_19]: https://bbs.cvmart.net/articles/523
[Unsupervised Deep Tracking]: http://openaccess.thecvf.com/content_CVPR_2019/html/Wang_Unsupervised_Deep_Tracking_CVPR_2019_paper.html
[https_github.com_594422814_UDT]: https://github.com/594422814/UDT/
[Tracking by Animation_ Unsupervised Learning of Multi-Object Attentive Trackers]: http://openaccess.thecvf.com/content_CVPR_2019/html/He_Tracking_by_Animation_Unsupervised_Learning_of_Multi-Object_Attentive_Trackers_CVPR_2019_paper.html
[https_github.com_zhen-he_tracking-by-animation]: https://github.com/zhen-he/tracking-by-animation
[Object Tracking by Reconstruction With View-Specific Discriminative Correlation Filters]: http://openaccess.thecvf.com/content_CVPR_2019/html/Kart_Object_Tracking_by_Reconstruction_With_View-Specific_Discriminative_Correlation_Filters_CVPR_2019_paper.html
[Target-Aware Deep Tracking]: http://openaccess.thecvf.com/content_CVPR_2019/html/Li_Target-Aware_Deep_Tracking_CVPR_2019_paper.html
[https_github.com_XinLi-zn_TADT]: https://github.com/XinLi-zn/TADT
[https_github.com_ZikunZhou_TADT-python]: https://github.com/ZikunZhou/TADT-python
[SPM-Tracker_ Series-Parallel Matching for Real-Time Visual Object Tracking]: http://openaccess.thecvf.com/content_CVPR_2019/html/Wang_SPM-Tracker_Series-Parallel_Matching_for_Real-Time_Visual_Object_Tracking_CVPR_2019_paper.html
[SiamRPN_ Evolution of Siamese Visual Tracking With Very Deep Networks]: http://openaccess.thecvf.com/content_CVPR_2019/html/Li_SiamRPN_Evolution_of_Siamese_Visual_Tracking_With_Very_Deep_Networks_CVPR_2019_paper.html
[https_github.com_STVIR_pysot]: https://github.com/STVIR/pysot
[Deeper and Wider Siamese Networks for Real-Time Visual Tracking]: http://openaccess.thecvf.com/content_CVPR_2019/html/Zhang_Deeper_and_Wider_Siamese_Networks_for_Real-Time_Visual_Tracking_CVPR_2019_paper.html
[https_github.com_researchmm_SiamDW]: https://github.com/researchmm/SiamDW
[Graph Convolutional Tracking]: http://openaccess.thecvf.com/content_CVPR_2019/html/Gao_Graph_Convolutional_Tracking_CVPR_2019_paper.html
[https_nlpr-web.ia.ac.cn_mmc_homepage_jygao_gct_cvpr2019.html]: https://nlpr-web.ia.ac.cn/mmc/homepage/jygao/gct_cvpr2019.html#
[ATOM_ Accurate Tracking by Overlap Maximization]: http://openaccess.thecvf.com/content_CVPR_2019/html/Danelljan_ATOM_Accurate_Tracking_by_Overlap_Maximization_CVPR_2019_paper.html
[Visual Tracking via Adaptive Spatially-Regularized Correlation Filters]: http://openaccess.thecvf.com/content_CVPR_2019/html/Dai_Visual_Tracking_via_Adaptive_Spatially-Regularized_Correlation_Filters_CVPR_2019_paper.html
[https_github.com_Daikenan_ASRCF]: https://github.com/Daikenan/ASRCF
[ROI Pooled Correlation Filters for Visual Tracking]: http://openaccess.thecvf.com/content_CVPR_2019/html/Sun_ROI_Pooled_Correlation_Filters_for_Visual_Tracking_CVPR_2019_paper.html
[Siamese Cascaded Region Proposal Networks for Real-Time Visual Tracking]: http://openaccess.thecvf.com/content_CVPR_2019/html/Fan_Siamese_Cascaded_Region_Proposal_Networks_for_Real-Time_Visual_Tracking_CVPR_2019_paper.html
[Eliminating Exposure Bias and Metric Mismatch in Multiple Object Tracking]: http://openaccess.thecvf.com/content_CVPR_2019/html/Maksai_Eliminating_Exposure_Bias_and_Metric_Mismatch_in_Multiple_Object_Tracking_CVPR_2019_paper.html
[MOTS_ Multi-Object Tracking and Segmentation]: http://openaccess.thecvf.com/content_CVPR_2019/html/Voigtlaender_MOTS_Multi-Object_Tracking_and_Segmentation_CVPR_2019_paper.html
[https_www.vision.rwth-aachen.de_page_mots]: https://www.vision.rwth-aachen.de/page/mots
[Fast Online Object Tracking and Segmentation_ A Unifying Approach]: http://openaccess.thecvf.com/content_CVPR_2019/html/Wang_Fast_Online_Object_Tracking_and_Segmentation_A_Unifying_Approach_CVPR_2019_paper.html
[https_github.com_foolwood_SiamMask]: https://github.com/foolwood/SiamMask
[Leveraging Shape Completion for 3D Siamese Tracking]: http://openaccess.thecvf.com/content_CVPR_2019/html/Giancola_Leveraging_Shape_Completion_for_3D_Siamese_Tracking_CVPR_2019_paper.html
[https_github.com_SilvioGiancola_ShapeCompletion3DTracking]: https://github.com/SilvioGiancola/ShapeCompletion3DTracking
[LaSOT_ A High-Quality Benchmark for Large-Scale Single Object Tracking]: http://openaccess.thecvf.com/content_CVPR_2019/html/Fan_LaSOT_A_High-Quality_Benchmark_for_Large-Scale_Single_Object_Tracking_CVPR_2019_paper.html
[https_cis.temple.edu_lasot_index.html]: https://cis.temple.edu/lasot/index.html
[Argoverse_ 3D Tracking and Forecasting With Rich Maps]: http://openaccess.thecvf.com/content_CVPR_2019/html/Chang_Argoverse_3D_Tracking_and_Forecasting_With_Rich_Maps_CVPR_2019_paper.html
[https_www.argoverse.org]: https://www.argoverse.org/
[CityFlow_ A City-Scale Benchmark for Multi-Target Multi-Camera Vehicle Tracking and Re-Identification]: http://openaccess.thecvf.com/content_CVPR_2019/html/Tang_CityFlow_A_City-Scale_Benchmark_for_Multi-Target_Multi-Camera_Vehicle_Tracking_and_CVPR_2019_paper.html
[https_www.aicitychallenge.org]: https://www.aicitychallenge.org/
[ICCV2019_11]: https://bbs.cvmart.net/articles/1190
[Learning Discriminative Model Prediction for Tracking.]: https://openaccess.thecvf.com/content_ICCV_2019/papers/Bhat_Learning_Discriminative_Model_Prediction_for_Tracking_ICCV_2019_paper.pdf
[GradNet_ Gradient-Guided Network for Visual Object Tracking.]: https://openaccess.thecvf.com/content_ICCV_2019/papers/Li_GradNet_Gradient-Guided_Network_for_Visual_Object_Tracking_ICCV_2019_paper.pdf
[code]: https://github.com/LPXTT/GradNet-Tensorflow
[Deep Meta Learning for Real-Time Target-Aware Visual Tracking.]: https://openaccess.thecvf.com/content_ICCV_2019/papers/Choi_Deep_Meta_Learning_for_Real-Time_Target-Aware_Visual_Tracking_ICCV_2019_paper.pdf
[Skimming-Perusal_ Tracking_ A Framework for Real-Time and Robust Long-Term Tracking.]: https://openaccess.thecvf.com/content_ICCV_2019/papers/Yan_Skimming-Perusal_Tracking_A_Framework_for_Real-Time_and_Robust_Long-Term_Tracking_ICCV_2019_paper.pdf
[code 1]: https://github.com/iiau-tracker/SPLT
[Learning Aberrance Repressed Correlation Filters for Real-Time UAV Tracking.]: https://openaccess.thecvf.com/content_ICCV_2019/papers/Huang_Learning_Aberrance_Repressed_Correlation_Filters_for_Real-Time_UAV_Tracking_ICCV_2019_paper.pdf
[code 2]: https://github.com/vision4robotics/ARCF-tracker
[Bridging the Gap Between Detection and Tracking_ A Unified Approach.]: https://openaccess.thecvf.com/content_ICCV_2019/papers/Huang_Bridging_the_Gap_Between_Detection_and_Tracking_A_Unified_Approach_ICCV_2019_paper.pdf
[Physical Adversarial Textures That Fool Visual Object Tracking.]: https://openaccess.thecvf.com/content_ICCV_2019/papers/Wiyatno_Physical_Adversarial_Textures_That_Fool_Visual_Object_Tracking_ICCV_2019_paper.pdf
[Joint Group Feature Selection and Discriminative Filter Learning for Robust Visual Object Tracking.]: https://openaccess.thecvf.com/content_ICCV_2019/papers/Xu_Joint_Group_Feature_Selection_and_Discriminative_Filter_Learning_for_Robust_ICCV_2019_paper.pdf
[code 3]: https://github.com/XU-TIANYANG/GFS-DCF
[CDTB_ A Color and Depth Visual Object Tracking Dataset and Benchmark.]: https://openaccess.thecvf.com/content_ICCV_2019/papers/Lukezic_CDTB_A_Color_and_Depth_Visual_Object_Tracking_Dataset_and_ICCV_2019_paper.pdf
[Deep Learning for Visual Tracking_ A Comprehensive Survey]: https://arxiv.org/pdf/1912.00535.pdf
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[DEEP LEARNING IN VIDEO MULTI-OBJECT TRACKING_ A SURVEY]: https://arxiv.org/pdf/1907.12740v4.pdf
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[Deep Meta Learning for Real-Time Visual Tracking based on Target-Specific Feature Space.]: https://arxiv.org/pdf/1809.07845.pdf
[project]: https://cis.temple.edu/lasot/
[Long-term Tracking in the Wild_ a Benchmark.]: https://arxiv.org/pdf/1803.09502.pdf
[project 1]: https://oxuva.github.io/long-term-tracking-benchmark/
[TrackingNet_ A Large-Scale Dataset and Benchmark for Object Tracking in the Wild.]: https://arxiv.org/pdf/1803.10794.pdf
[project 2]: https://silviogiancola.github.io/publication/2018-03-trackingnet/details/
[The Unmanned Aerial Vehicle Benchmark_ Object Detection and Tracking.]: https://arxiv.org/pdf/1804.00518.pdf
[Link 1]: https://www.sohu.com/a/162408443_473283
[Link 2]: http://ice.dlut.edu.cn/lu/
[Hongdong Li]: http://users.cecs.anu.edu.au/~hongdong/
[Lei Zhang]: http://www4.comp.polyu.edu.hk/~cslzhang/
[Link 3]: http://nlpr-web.ia.ac.cn/mmc/homepage/tzzhang/index.html
[CHAO MA]: https://www.chaoma.info/
[Ming-Hsuan Yang]: https://faculty.ucmerced.edu/mhyang/
[Matej Kristan]: https://www.vicos.si/People/Matejk
[Jo_o F. Henriques_Luca Bertinetto]: https://www.robots.ox.ac.uk/~joao/
[Torr Vision Group]: https://www.robots.ox.ac.uk/~tvg/people.php
[Martin Danelljan]: https://users.isy.liu.se/cvl/marda26/
[Link 4]: https://ybsong00.github.io/
[https_zhuanlan.zhihu.com_p_183143487]: https://zhuanlan.zhihu.com/p/183143487
[https_github.com_extreme-assistant_Object-Tracking-Paper-Benchmark-Team]: https://github.com/extreme-assistant/Object-Tracking-Paper-Benchmark-Team