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Experiment of the texture biais of CNNs and shift to shape biais with style transfer

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CNN-Texture-Bias

TP4 INF8225 H20 - Polytechnique Montreal

Experiment of the texture biais of CNNs and shift to shape biais with style transfer

Original paper link

This experiment was an analysis of the paper 'IMAGENET-TRAINED CNNS ARE BIASED TOWARDS TEXTURE; INCREASING SHAPE BIAS IMPROVES ACCURACY AND ROBUSTNESS', available here: https://openreview.net/pdf?id=Bygh9j09KX

About the paper

We did not write the original paper, this repository is a student reproduction of the experiments described by the article in order to gain knowledge in the field and practice scientific writting. The report is not meant to be published.

Feel free to explore the notebooks and experiment with the data.

Folders

Notebooks to look at

- stylize-dataset.ipynb: use to apply style transfer on our dataset
- dog-parachute-experiment.ipynb: the intuition experiment of the Section 3.1
- resnet-experiments.ipynb: all the experiments from Section 3.2 to 3.5

Datasets

- all our data

Report

- our pdf report

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Experiment of the texture biais of CNNs and shift to shape biais with style transfer

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