VOT2020 Trackers repository

This is an incomplete collection of trackers submitted to VOT2020. The collection contains only those submissions to VOT2020 for which we were able to obtain explicit permission from the authors (this was indicated by the authors during results submission process). In most cases the code is provided as it was submitted, in other cases some authors asked us to point the link to their own repositories. The VOT committee does not take any responsibility for the state of code/binaries of the trackers available here. For any additional information regarding individual trackers, please contact the corresponding authors directly.

Each tracker is referred as NAME (Appendix Nr NN), where NAME is the name given to the tracker and NN is the tracker number referred on the VOT paper.

If you have any question or suggestion, please contact us on the support forum.

Short Term (ST) Trackers

• Discriminative Sing-Shot Segmentation Tracker (D3S) - Appendix A.1

• Visual Tracking by means of Deep Reinforcement Learning and an Expert Demonstrator (A3CTDmask) - Appendix A.2

• Deep Convolutional Descriptor Aggregation for Visual Tracking (DCDA) - Appendix A.3

• IOU guided Siamese networks for visual object tracking (igs) - Appendix A.4

• SiamMask_SOLO (SiamMask_S) - Appendix A.5

• Diverse Ensemble Tracker (DET50) - Appendix A.6

• VPU_SiamM: Robust Template Update Strategy for Efficient Object Tracking (VPU_SiamM) - Appendix A.7

• RPT: Learning Point Set Representation for Siamese Visual Tracking (RPT) - Appendix A.8

• Tracking Student and Teacher (TRASTmask) - Appendix A.9

• Ocean: Object-aware Anchor-free Tracking (Ocean) - Appendix A.10

• Tracking by Student FUSing Teachers (TRASFUSTm) - Appendix A.11

• Alpha-Refine (AlphaRef) - Appendix A.12

• Hierarchical Representations with Discriminative Meta-Filters in Dual Path Network for Tracking (DPMT) - Appendix A.13

• SiamMask (siammask) - Appendix A.14

• OceanPlus: Online Object-aware Anchor-free Tracking (OceanPlus) - Appendix A.15

• fastOcean: Fast Object-aware Anchor-free Tracking (fastOcean) - Appendix A.16

• Siamese tracker with discriminative feature embedding and mask prediction. (SiamMargin) - Appendix A.17

• Siamese Tracker with Enhanced Template and Generalized Mask Generator (SiamEM) - Appendix A.18

• TRacker by using ATtention (TRAT) - Appendix A.19

• InfoGAN based tracker: InfoVITAL (InfoVital) - Appendix A.20

• Learning Discriminative Model Prediction for Tracking (DiMP) - Appendix A.21

• SuperDiMP (SuperDiMP) - Appendix A.22

• Learning What to Learn for Video Object Segmentation (LWTL) - Appendix A.23

• Adaptive Failure-Aware Tracker (AFAT) - Appendix A.24

• Ensemble correlation filter tracking based on temporal confidence learning (TCLCF) - Appendix A.25

• [AFOD: Adaptive Focused Discriminative Segmentation Tracker (AFOD)] - Appendix A.26 (This tracker is under submission and will be available upon acceptance)

• Fast Saliency-guided Continuous Correlation Filter-based tracker (FSC2F) - Appendix A.27

• Adaptive Visual Tracking and Instance Segmentation (DESTINE) - Appendix A.28

• Scale Adaptive Mean-Shift Tracker (ASMS) - Appendix A.29

• ATOM: Accurate Tracking by Overlap Maximization (ATOM) - Appendix A.30

• Discriminative Correlation Filter with Channel and Spatial Reliability - C++ (CSRpp) - Appendix A.31

• [Incremental Learning for Robust Visual Tracking (IVT)] - Appendix A.32

• Kernelized Correlation Filter (KCF) - Appendix A.33

• [Multiple Instance Learning tracker (MIL)] - Appendix A.34

• [Robust Siamese Fully Convolutional Tracker (RSiamFC)] - Appendix A.35

• [VOS SOTA method (STM)] - Appendix A.36

• [UPDT (UPDT)] - Appendix A.37

Long Term (LT) Trackers

• Long-Term Visual Tracking with Assistant Global Instance Search (Megtrack) - Appendix B.1

• Skimming-Perusal Long-Term Tracker (SPLT) - Appendix B.2

• A Baseline Long-Term Tracker with Meta-Updater (LTMU_B) - Appendix B.3

• Robust Long-Term Object Tracking via Improved Discriminative Model Prediction (RLTDiMP) - Appendix B.4

• Long-term MDNet (ltMDNet) - Appendix B.5

• CLGS (CLGS) - Appendix B.6

• LT_DSE (LT_DSE) - Appendix B.7

• SiamDW_LT (SiamDW_LT) - Appendix B.8

RGB-T Trackers

• Multi-Model Continuous Correlation Filter for rgbt visual object tracking (M2C2Frgbt) - Appendix C.1

• Jointly Modelling Motion and Appearance Cues for Robust RGB-T Tracking (JMMAC) - Appendix C.2

• Accurate Multimodal Fusion for RGB-T Object Tracking (AMF) - Appendix C.3

• SqueezeNet Based Discriminative Correlation Filter Tracker (SNDCFT) - Appendix C.4

• Decision Fusion Adaptive Tracker (DFAT) - Appendix C.5

• [Multi-modal fusion for end-to-end RGB-T tracking (mfDiMP)] - Appendix C.6

• Online Deeper and Wider Siamese Networks for RGBT Visual Tracking (SiamDW-T) - Appendix C.7

RGB-D Trackers

• Accurate Tracking by Category-Agnostic Instance Segmentation for RGBD Image (ATCAIS) - Appendix D.1

• Depth Enhanced DiMP for RGBD Tracking (DDiMP) - Appendix D.2

• Complementary Local-Global Search for RGBD Visual Tracking (CLGS-D) - Appendix D.3

• Siamese Network for Long-term RGB-D Tracking (Siam_LTD) - Appendix D.4