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Update README_FixEfficientNet.md
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TouvronHugo authored Mar 19, 2020
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Expand Up @@ -7,29 +7,8 @@ It improves the performance of any convolutional neural network architecture.

The method is described in "Fixing the train-test resolution discrepancy" (links: [arXiv](https://arxiv.org/abs/1906.06423), [NeurIPS](https://papers.nips.cc/paper/9035-fixing-the-train-test-resolution-discrepancy)).

BibTeX reference to cite, if you use it:

```bibtex
@inproceedings{touvron2019FixRes,
author = {Touvron, Hugo and Vedaldi, Andrea and Douze, Matthijs and J{\'e}gou, Herv{\'e}},
title = {Fixing the train-test resolution discrepancy},
booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
year = {2019},
}
```

```
@misc{touvron2020FixEfficientNet,
author = {Touvron, Hugo and Vedaldi, Andrea and Douze, Matthijs and J{\'e}gou, Herv{\'e}},
title = {Fixing the train-test resolution discrepancy: FixEfficientNet},
journal={arXiv preprint arXiv:2003.08237},
year = {2020},
}
```

Please notice that our models depend on previous trained models, see [References to other models](#references-to-other-models)


## ImageNet Results

| Models | Resolution | #Parameters | Top-1 / Top-5 | Extra training data |
Expand All @@ -53,6 +32,23 @@ Please notice that our models depend on previous trained models, see [References
| FixEfficientNet-B8| 800 | 87.4M | 85.7 / 97.6 | |
| FixEfficientNet-L2| 600 | 480M | 88.5 / 98.7 |x |

```bibtex
@inproceedings{touvron2019FixRes,
author = {Touvron, Hugo and Vedaldi, Andrea and Douze, Matthijs and J{\'e}gou, Herv{\'e}},
title = {Fixing the train-test resolution discrepancy},
booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
year = {2019},
}
```

```
@misc{touvron2020FixEfficientNet,
author = {Touvron, Hugo and Vedaldi, Andrea and Douze, Matthijs and J{\'e}gou, Herv{\'e}},
title = {Fixing the train-test resolution discrepancy: FixEfficientNet},
journal={arXiv preprint arXiv:2003.08237},
year = {2020},
}
```

## References to other models

Expand Down Expand Up @@ -81,6 +77,16 @@ For models without extra-training data :
year="2019",
}
```

```
@misc{tan2019efficientnet,
author = {Mingxing Tan and Quoc V. Le},
title = "{EfficientNet: Rethinking Model Scaling for Convolutional Neural Networks}",
journal = {arXiv preprint arXiv:1905.11946},
year= "2019",
}
```

## License
FixRes is [CC BY-NC 4.0](https://creativecommons.org/licenses/by-nc/4.0/) licensed, as found in the LICENSE file.

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