Commit 583d99df authored by Yaoyao Liu's avatar Yaoyao Liu
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Update README.md

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[![CodeFactor](https://img.shields.io/codefactor/grade/github/yaoyao-liu/E3BM/inductive?style=flat-square&logo=codefactor&color=F44A6A)](https://www.codefactor.io/repository/github/yaoyao-liu/e3bm)
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[[Paper](https://link.springer.com/content/pdf/10.1007%2F978-3-030-58517-4_24.pdf)] [[Project Page](https://e3bm.yyliu.net/)] [[GitHub](https://github.com/yaoyao-liu/e3bm)]
[[Paper](https://www.ecva.net/papers/eccv_2020/papers_ECCV/papers/123610392.pdf)] [[Project Page](https://e3bm.yyliu.net/)] [[GitHub](https://github.com/yaoyao-liu/e3bm)]
This repository contains the PyTorch implementation for the [ECCV 2020](https://eccv2020.eu/) Paper "[An Ensemble of Epoch-wise Empirical Bayes for Few-shot Learning](https://link.springer.com/content/pdf/10.1007%2F978-3-030-58517-4_24.pdf)". If you have any questions on this repository or the related paper, feel free to [create an issue](https://github.com/yaoyao-liu/E3BM/issues/new) or [send me an email](mailto:yaoyao.liu+github@mpi-inf.mpg.de).
This repository contains the PyTorch implementation for the [ECCV 2020](https://eccv2020.eu/) Paper "[An Ensemble of Epoch-wise Empirical Bayes for Few-shot Learning](https://www.ecva.net/papers/eccv_2020/papers_ECCV/papers/123610392.pdf)". If you have any questions on this repository or the related paper, feel free to [create an issue](https://github.com/yaoyao-liu/E3BM/issues/new) or [send me an email](mailto:yaoyao.liu+github@mpi-inf.mpg.de).
#### Summary
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