bethgelab / stylize-datasets
A script that applies the AdaIN style transfer method to arbitrary datasets
☆159Updated 3 years ago
Alternatives and similar repositories for stylize-datasets:
Users that are interested in stylize-datasets are comparing it to the libraries listed below
- Code to create Stylized-ImageNet, a stylized version of standard ImageNet (ICLR 2019 Oral)☆513Updated 8 months ago
- Code, data and benchmark from the paper "Benchmarking Robustness in Object Detection: Autonomous Driving when Winter is Coming" (NeurIPS …☆184Updated 5 years ago
- ImageNet-R(endition) and DeepAugment (ICCV 2021)☆263Updated 3 years ago
- [ECCV 2020] DADA: Differentiable Automatic Data Augmentation☆190Updated last year
- Python package to corrupt arbitrary images.☆426Updated 5 months ago
- ☆140Updated 4 years ago
- Batch equivalent of PyTorch Transforms.☆38Updated 3 years ago
- Semi-supervised ImageNet1K models☆243Updated 5 years ago
- A PyTorch converter for SimCLR checkpoints☆109Updated 4 years ago
- A new test set for ImageNet☆248Updated last year
- Pre-trained models, data, code & materials from the paper "ImageNet-trained CNNs are biased towards texture; increasing shape bias improv…☆796Updated last year
- Evaluating Weakly Supervised Object Localization Methods Right (CVPR 2020)☆334Updated 2 years ago
- Repository for the CVPR19 oral paper "Domain Generalization by Solving Jigsaw Puzzles"☆249Updated 2 years ago
- Trained model weights, training and evaluation code from the paper "A simple way to make neural networks robust against diverse image cor…☆61Updated last year
- Labels and other data for the paper "Are we done with ImageNet?"☆190Updated 3 years ago
- The Combined Anomalous Object Segmentation (CAOS) Benchmark☆157Updated 2 years ago
- Differentiable Data Augmentation Library☆123Updated 2 years ago
- PyTorch implementation of neural style randomization for data augmentation☆117Updated 4 years ago
- Understanding Deep Networks via Extremal Perturbations and Smooth Masks☆345Updated 4 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…☆303Updated 4 years ago
- Code and models for the paper Shape-Texture Debiased Neural Network Training (ICLR 2021)☆108Updated last year
- ImageNet-Sketch data set for evaluating model's ability in learning (out-of-domain) semantics at ImageNet scale☆213Updated 2 years ago
- Positional Normalization (PONO) and Moment Shortcut (MS)☆155Updated 4 years ago
- Unofficial implementation with pytorch DistributedDataParallel for "MoCo: Momentum Contrast for Unsupervised Visual Representation Learni…☆148Updated 5 years ago
- ☆401Updated 2 years ago
- Why ReLU networks yield high-confidence predictions far away from the training data and how to mitigate the problem [CVPR 2019, oral]☆182Updated 5 years ago
- Benchmark your model on out-of-distribution datasets with carefully collected human comparison data (NeurIPS 2021 Oral)☆343Updated 7 months ago
- Light version of Network Dissection for Quantifying Interpretability of Networks☆216Updated 5 years ago
- Standardizing weights to accelerate micro-batch training☆547Updated 3 years ago
- Implements the unsupervised pre-training of convolutional neural networks☆249Updated 3 years ago