ltmu's Introduction

LTMU

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

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	0.568	0.573	0.587	0.514	Paper/Code/Results
DiMP+MU	0.594	0.641	0.649	0.564	Paper/Code/Results
DiMP+LTMU	0.602	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

Google Drive
Baidu Yun 提取码：kexg

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}
}