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Update README for ETTrack
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menelaoskanakis committed Nov 21, 2022
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# PyTracking
A general python framework for visual object tracking and video object segmentation, based on **PyTorch**.

### :fire: One tracking paper accepted at WACV 2023! 👇
* [Efficient Visual Tracking with Exemplar Transformers](https://arxiv.org/abs/2112.09686) | **Code available!**

### :fire: One tracking paper accepted at ECCV 2022! 👇
* [Robust Visual Tracking by Segmentation](https://arxiv.org/abs/2203.11191) | **Code available!**

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### One tracking paper accepted at CVPR 2022!
* [Transforming Model Prediction for Tracking](https://arxiv.org/abs/2203.11192) | **Code available!**

### Two tracking/VOS papers accepted at ICCV 2021!
* [Learning Target Candidate Association to Keep Track of What Not to Track](https://arxiv.org/abs/2103.16556) | **Code available!**
* [Generating Masks from Boxes by Mining Spatio-Temporal Consistencies in Videos](https://arxiv.org/abs/2101.02196) | Code coming here soon...


## Highlights

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Please refer to the [official implementation of ECO](https://github.com/martin-danelljan/ECO) if you are looking to reproduce the results in the ECO paper or download the raw results.

## Associated trackers
We list associated trackers that can be found in external repositories.

### E.T.Track (WACV 2023)

**[[Paper]](https://arxiv.org/abs/2112.09686) [[Code]](https://github.com/pblatter/ettrack)**

Official implementation of **E.T.Track**. E.T.Track utilized our proposed Exemplar Transformer, a transformer module
utilizing a single instance level attention layer for realtime visual object tracking. E.T.Track is up to 8x faster than
other transformer-based models, and consistently outperforms competing lightweight trackers that can operate in realtime
on standard CPUs.

![ETTrack_teaser_figure](pytracking/.figs/ETTrack_overview.png)

## Installation

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