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carrierlxk authored Nov 29, 2019
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### Introduction

:new:

The pytorch version of DSLT is released. We take the Siamese Tracker as the examplar and obtain a significant performance promotion.


This is the research code for the ECCV 2018 paper:

[Xiankai Lu](https://github.com/carrierlxk), [Chao Ma](https://www.chaoma.info), [Bingbing Ni](https://scholar.google.com/citations?user=eUbmKwYAAAAJ&hl=en), [Xiaokang Yang](http://english.seiee.sjtu.edu.cn/english/detail/842_802.htm), [Ian Reid](https://cs.adelaide.edu.au/~ianr/), and [Ming-Hsuan Yang](http://faculty.ucmerced.edu/mhyang/), Deep Regression Tracking with Shrinkage Loss ([paper link](http://faculty.ucmerced.edu/mhyang/papers/eccv2018_rtsl.pdf)), ECCV 2018.
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