Feb 14, 2024 · In this work, we propose to train CNNs on pre-processed images with less texture to reduce the texture bias.

Feb 14, 2024 · Reducing Texture Bias of Deep Neural Networks via Edge Enhancing Diffusion. 1st Edgar Heinert. School of Mathematics and Natural Sciences.

Feb 15, 2024 · By training CNNs on pre-processed images with less texture using edge enhancing diffusion (EED), the models become completely ignorant with ...

Apr 25, 2024 · Edgar Heinert, Matthias Rottmann, Kira Maag, Karsten Kahl: Reducing Texture Bias of Deep Neural Networks via Edge Enhancing Diffusion.

Jul 24, 2024 · This paper demonstrates that incorporating edge information can significantly improve the robustness of deep convolutional neural networks.

Reducing Texture Bias of Deep Neural Networks via Edge Enhancing Diffusion ... Training deep neural networks is already resource demanding and so is also ...

Reducing Texture Bias of Deep Neural Networks via Edge Enhancing Diffusion ... Enhancing Weather Predictions: Super-Resolution via Deep Diffusion Models ...

2024. Reducing Texture Bias of Deep Neural Networks via Edge Enhancing Diffusion. E Heinert, M Rottmann, K Maag, K Kahl. arXiv preprint arXiv:2402.09530, 2024.

A simple attempt by augmenting training images using the artistic style transfer method, called Stylized ImageNet, can reduce the texture bias. However, ...

Active learning as a paradigm in deep learning is especially important in ... Reducing Texture Bias of Deep Neural Networks via Edge Enhancing Diffusion.