Daikenan / LTMU

CVPR2020 Oral && Best Paper Nomination

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LTMU

  • High-Performance Long-Term Tracking with Meta-Updater(CVPR2020 Oral && Best Paper Nomination).

LTMU figure

Introduction

Our Meta-updater can be easily embedded into other online-update algorithms(Dimp, ATOM, ECO, RT-MDNet...) to make their online-update more accurately in long-term tracking task. More info.

Experiments

+MU = Basetracker+Meta-Updater

+LTMU = Basetracker+Meta-Updater+Global Detection+Verifier+Bbox refine

Tracker LaSOT(AUC) VOT2020 LT(F) VOT2018 LT(F) TLP(AUC) Link
RT-MDNet 0.335 0.338 0.367 0.276 Paper/Code/Results
RT-MDNet+MU 0.354 0.396 0.407 0.337 Paper/Code/Results
ATOM 0.511 0.497 0.510 0.399 Paper/Code/Results
ATOM+MU 0.541 0.620 0.628 0.473 Paper/Code/Results
DiMP 0.578 0.573 0.587 0.514 Paper/Code/Results
DiMP+MU 0.602 0.641 0.649 0.564 Paper/Code/Results
DiMP+LTMU 0.605 0.691 - 0.572 Paper/Code/Results
PrDiMP 0.612 0.632 0.631 0.535 Paper/Code/Results
PrDiMP+MU 0.615 0.661 0.675 0.582 Paper/Code/Results
SuperDiMP 0.646 0.647 0.667 0.552 Paper/Code/Results
SuperDiMP+MU 0.658 0.704 0.707 0.595 Paper/Code/Results
D3S 0.494 0.437 0.445 0.390 Paper/Code/Results
D3S+MU 0.520 0.518 0.534 0.413 Paper/Code/Results
ECO - - - - Paper/Code/Results
ECO+MU - - - - Paper/Code/Results
MDNet - - - - Paper/Code/Results
MDNet+MU - - - - Paper/Code/Results

Paper link

Citation

Please cite the above publication if you use the code or compare with the LTMU tracker in your work. Bibtex entry:

@inproceedings{Dai_2020_CVPR,
author = {Kenan Dai, Yunhua Zhang, Dong Wang, Jianhua Li, Huchuan Lu, Xiaoyun Yang},
title = {{High-Performance Long-Term Tracking with Meta-Updater},
booktitle = {CVPR},
year = {2020}
}

Results

LTMU

About

CVPR2020 Oral && Best Paper Nomination

License:GNU General Public License v3.0


Languages

Language:Python 97.2%Language:Jupyter Notebook 2.1%Language:Cuda 0.2%Language:C 0.2%Language:C++ 0.1%Language:Shell 0.1%Language:Cython 0.1%Language:MATLAB 0.0%Language:Dockerfile 0.0%Language:Makefile 0.0%