rgeirhos / 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)
☆782Updated last year
Related projects: ⓘ
- Code to create Stylized-ImageNet, a stylized version of standard ImageNet (ICLR 2019 Oral)☆502Updated last month
- Corruption and Perturbation Robustness (ICLR 2019)☆1,002Updated 2 years ago
- AugMix: A Simple Data Processing Method to Improve Robustness and Uncertainty☆975Updated last month
- Understanding Deep Networks via Extremal Perturbations and Smooth Masks☆342Updated 4 years ago
- Scaling and Benchmarking Self-Supervised Visual Representation Learning☆587Updated 2 years ago
- Pretrained bag-of-local-features neural networks☆311Updated 5 years ago
- ImageNet classifier with state-of-the-art adversarial robustness☆674Updated 4 years ago
- ☆508Updated 10 months ago
- This repository reproduces the results of the paper: "Fixing the train-test resolution discrepancy" https://arxiv.org/abs/1906.06423☆1,025Updated 3 years ago
- Standardizing weights to accelerate micro-batch training☆546Updated 2 years ago
- A script that applies the AdaIN style transfer method to arbitrary datasets☆154Updated 3 years ago
- PyTorch re-implementation of Grad-CAM (+ vanilla/guided backpropagation, deconvnet, and occlusion sensitivity maps)☆783Updated 4 years ago
- mixup: Beyond Empirical Risk Minimization☆1,156Updated 2 years ago
- Visualization toolkit for neural networks in PyTorch! Demo -->☆727Updated 11 months ago
- Unofficial implementation of the ImageNet, CIFAR 10 and SVHN Augmentation Policies learned by AutoAugment using pillow☆1,458Updated last year
- Best CIFAR-10, CIFAR-100 results with wide-residual networks using PyTorch☆457Updated 4 years ago
- ☆307Updated 6 months ago
- Official Implementation of 'Fast AutoAugment' in PyTorch.☆1,588Updated 3 years ago
- Code for the Proceedings of the National Academy of Sciences 2020 article, "Understanding the Role of Individual Units in a Deep Neural N…☆301Updated 3 years ago
- Pytorch implementation for "Large-Scale Long-Tailed Recognition in an Open World" (CVPR 2019 ORAL)☆841Updated 2 years ago
- Benchmark your model on out-of-distribution datasets with carefully collected human comparison data (NeurIPS 2021 Oral)☆333Updated last month
- Unofficial PyTorch Reimplementation of RandAugment.☆627Updated last year
- Taskonomy: Disentangling Task Transfer Learning [Best Paper, CVPR2018]☆843Updated last year
- Light version of Network Dissection for Quantifying Interpretability of Networks☆215Updated 5 years ago
- Pytorch implementation of convolutional neural network adversarial attack techniques☆349Updated 5 years ago
- 2.56%, 15.20%, 1.30% on CIFAR10, CIFAR100, and SVHN https://arxiv.org/abs/1708.04552☆542Updated 4 years ago
- A Simple pytorch implementation of GradCAM and GradCAM++☆357Updated 5 years ago
- pip install antialiased-cnns to improve stability and accuracy☆1,654Updated 5 months ago
- Official Pytorch implementation of CutMix regularizer☆1,214Updated 4 years ago
- Stochastic Weight Averaging in PyTorch☆959Updated 3 years ago