texture bia

Frequency Shuffling and Enhancement for Open Set Recognition AAAI 2024 BiasBed - Rigorous Texture Bias Evaluation CVPR 2023 Deep Digging into the Generalization of Self-Supervised Monocular Depth Estimation AAAI 2023 Part-Based Models Improve Adversarial Robustness ICLR 2023 Shift from Texture-bias to Shape-bias: Edge Deformation-based Augmentation for Robust Object Recognition ICCV 2023 Feature Statistics Mixing Regularization for Generative Adversarial Networks CVPR 2022 Does enhanced shape bias improve neural network robustness to common corruptions? ICLR 2021 On the Texture Bias for Few-Shot CNN Segmentation WACV 2021 Permuted AdaIN: Reducing the Bias Towards Global Statistics in Image Classification CVPR 2021 Shape or Texture: Understanding Discriminative Features in CNNs ICLR 2021 Informative Dropout for Robust Representation Learning: A Shape-bias Perspective ICML 2020 The Origins and Prevalence of Texture Bias in Convolutional Neural Networks NeurIPS 2020 ImageNet-trained CNNs are biased towards texture; increasing shape bias improves accuracy and robustness ICLR 2019 Interpreting Adversarially Trained Convolutional Neural Networks ICML 2019