# LTMU **Repository Path**: tianlee/LTMU ## Basic Information - **Project Name**: LTMU - **Description**: CVPR2020 Oral && Best Paper Nomination - **Primary Language**: Unknown - **License**: Not specified - **Default Branch**: master - **Homepage**: None - **GVP Project**: No ## Statistics - **Stars**: 0 - **Forks**: 0 - **Created**: 2020-10-16 - **Last Updated**: 2020-12-19 ## Categories & Tags **Categories**: Uncategorized **Tags**: None ## README # LTMU - High-Performance Long-Term Tracking with Meta-Updater(**CVPR2020 Oral && Best Paper Nomination**). ![LTMU figure](framework.jpg) ## 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](https://zhuanlan.zhihu.com/p/130322874). ## 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**](https://github.com/IlchaeJung/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**](https://github.com/visionml/pytracking)| 0.511 |0.497 |0.510 |0.399 |Paper/Code/Results| | [**ATOM+MU**](https://github.com/Daikenan/LTMU/tree/master/ATOM_MU) | 0.541 |0.620 |0.628 |0.473 |Paper/Code/Results| | [**DiMP**](https://github.com/visionml/pytracking)| 0.568 |0.573 |0.587 |0.514 |Paper/Code/Results| | [**DiMP+MU**](https://github.com/Daikenan/LTMU/tree/master/DiMP_MU) | 0.594 |0.641 |0.649 |0.564 |Paper/Code/Results| | [**DiMP+LTMU**](https://github.com/Daikenan/LTMU/tree/master/DiMP_LTMU) | 0.602 |0.691 |- |0.572 |Paper/Code/Results| | [**PrDiMP**](https://github.com/visionml/pytracking)| 0.612 |0.632 |0.631 |0.535 |Paper/Code/Results| | [**PrDiMP+MU**](https://github.com/Daikenan/LTMU/tree/master/PrDiMP_MU) | 0.615 |0.661 |0.675 |0.582 |Paper/Code/Results| | [**SuperDiMP**](https://github.com/visionml/pytracking)| 0.646 |0.647 |0.667 |0.552 |Paper/Code/Results| | [**SuperDiMP+MU**](https://github.com/Daikenan/LTMU/tree/master/Super_DiMP_MU)| 0.658 |0.704 |0.707 |0.595 |Paper/Code/Results| | [**D3S**](https://github.com/alanlukezic/d3s) | - |- |- |- |Paper/Code/Results| | **D3S+MU** | - |- |- |- |Paper/Code/Results| | [**ECO**](https://github.com/visionml/pytracking) | - |- |- |- |Paper/Code/Results| | **ECO+MU** | - |- |- |- |Paper/Code/Results| | [**MDNet**](https://github.com/hyeonseobnam/py-MDNet) | - |- |- |- |Paper/Code/Results| | **MDNet+MU** | - |- |- |- |Paper/Code/Results| ## Paper link - [Google Drive](https://drive.google.com/open?id=14CGBaVl8sNIYRi0tQ5E_wsjpHiINu9Jk) - [Baidu Yun](https://pan.baidu.com/s/1jhPOdYoNRVD30Mr5okkv2g) 提取码:kexg ## Citation Please cite the above publication if you use the code or compare with the ASRCF 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 - [LaSOT](https://drive.google.com/open?id=1sfNUgUcjb29-RkjA1buv7eAziEOn5ece) - [OxUvALT](https://drive.google.com/open?id=1dAyYSpAJhMd6mFE2uRPblCwkciuA2fUf) - [TLP](https://drive.google.com/open?id=1Heg_Pwv021pl47ekHM40H1H2tn3KjF4I) - [VOTLT(18&19)](https://drive.google.com/open?id=1Wh4MTEavqUs4FZtH7jGJQsdSAR0ThdeA)