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https://github.com/nianticlabs/time-repeatability

[ICRA 2021] Learning to Predict Repeatability of Interest Points
https://github.com/nianticlabs/time-repeatability

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[ICRA 2021] Learning to Predict Repeatability of Interest Points

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# [Learning to Predict Repeatability of Interest Points](https://arxiv.org/abs/2105.03578)

**[Anh-Dzung Doan](https://scholar.google.com/citations?user=Ch9rZ_kAAAAJ&hl=en&oi=ao), [Daniyar Turmukhambetov](http://dantkz.github.io/about), [Yasir Latif](https://scholar.google.com/citations?hl=en&user=pGsO6EkAAAAJ), [Tat-Jun Chin](https://scholar.google.com/citations?user=WyqGF10AAAAJ&hl=en&oi=ao) and [Soohyun Bae](https://www.linkedin.com/in/soohyun/) – ICRA 2021**

[Link to paper](https://arxiv.org/abs/2105.03578)


Given an interest point detector, our repeatability predictor predicts the repeatability of interest points as a function of time.



10 minute ICRA presentation video link

## ✏️ 📄 Citation

If you find our work useful or interesting, please consider citing [our paper](https://arxiv.org/abs/2008.09497):

```
@inproceedings{doan-2021-time-repeatability,
title = {Learning to Predict Repeatability of Interest Points},
author = {Anh-Dzung Doan and
Daniyar Turmukhambetov and
Yasir Latif and
Tat-Jun Chin and
Soohyun Bae
},
booktitle = {IEEE International Conference on Robotics and Automation ({ICRA})},
year = {2021}
}
```

# 👩‍⚖️ License
Copyright © Niantic, Inc. 2021. Patent Pending. All rights reserved. Please see the license file for terms.