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) - Source available upon request - Appendix A.1

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

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

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

  • SiamMask_SOLO (SiamMask_S) - Source available upon request - Appendix A.5

  • Diverse Ensemble Tracker (DET50) - Source available upon request - Appendix A.6

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

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

  • Tracking Student and Teacher (TRASTmask) - Source available upon request - Appendix A.9

  • Ocean: Object-aware Anchor-free Tracking (Ocean) - Source available upon request - Appendix A.10

  • Tracking by Student FUSing Teachers (TRASFUSTm) - Source available upon request - Appendix A.11

  • Alpha-Refine (AlphaRef) - Source available upon request - Appendix A.12

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

  • SiamMask (siammask) - Source available upon request - Appendix A.14

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

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

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

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

  • TRacker by using ATtention (TRAT) - Source available upon request - Appendix A.19

  • InfoGAN based tracker: InfoVITAL (InfoVital) - Source available upon request - Appendix A.20

  • Learning Discriminative Model Prediction for Tracking (DiMP) - Source available upon request - Appendix A.21

  • SuperDiMP (SuperDiMP) - Source available upon request - Appendix A.22

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

  • Adaptive Failure-Aware Tracker (AFAT) - Source available upon request - Appendix A.24

  • Ensemble correlation filter tracking based on temporal confidence learning (TCLCF) - Source available upon request - 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) - Source available upon request - Appendix A.27

  • Adaptive Visual Tracking and Instance Segmentation (DESTINE) - Source available upon request - Appendix A.28

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

  • ATOM: Accurate Tracking by Overlap Maximization (ATOM) - Source available upon request - Appendix A.30

  • Discriminative Correlation Filter with Channel and Spatial Reliability - C++ (CSRpp) - Source available upon request - 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) - Source available upon request - Appendix B.1

  • Skimming-Perusal Long-Term Tracker (SPLT) - Source available upon request - Appendix B.2

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

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

  • Long-term MDNet (ltMDNet) - Source available upon request - Appendix B.5

  • CLGS (CLGS) - Source available upon request - Appendix B.6

  • LT_DSE (LT_DSE) - Source available upon request - Appendix B.7

  • SiamDW_LT (SiamDW_LT) - Source available upon request - Appendix B.8

RGB-T Trackers

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

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

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

  • SqueezeNet Based Discriminative Correlation Filter Tracker (SNDCFT) - Source available upon request - Appendix C.4

  • Decision Fusion Adaptive Tracker (DFAT) - Source available upon request - 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) - Source available upon request - Appendix C.7

RGB-D Trackers

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

  • Depth Enhanced DiMP for RGBD Tracking (DDiMP) - Source available upon request - Appendix D.2

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

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