paper-with-me

Stylized ImageNet

홈페이지 · 논문 106편

The Stylized-ImageNet dataset is created by removing local texture cues in ImageNet while retaining global shape information on natural images via AdaIN style transfer. This nudges CNNs towards learning more about shapes and less about local textures. Source: Adversarial Examples Improve Image Recognition Image Source: https://github.com/rgeirhos/Stylized-ImageNet

Images

벤치마크

Adversarial Robustness on Stylized ImageNet 결과 4개