texture-vs-shape

Pre-trained models, data, code & materials from the paper "ImageNet-trained CNNs are biased towards texture; increasing shape bias improves accuracy and robustness" (ICLR 2019 Oral)

deep-learning

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609 Stars

84 Forks

609 Watchers

R Language

other License

Cost to Build

$8.83M

Market Value

$20.62M

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Growth over time

1 data points · 2021-08-07 → 2021-08-07

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What is the rgeirhos/texture-vs-shape GitHub project? Description: "Pre-trained models, data, code & materials from the paper "ImageNet-trained CNNs are biased towards texture; increasing shape bias improves accuracy and robustness" (ICLR 2019 Oral)". Written in R. Explain what it does, its main use cases, key features, and who would benefit from using it.

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