hirokatsukataoka16 / FractalDB-Pretrained-ResNet-PyTorchLinks
Pre-training without Natural Images (ACCV 2020 Best Paper Honorable Mention Award)
☆216Updated 3 years ago
Alternatives and similar repositories for FractalDB-Pretrained-ResNet-PyTorch
Users that are interested in FractalDB-Pretrained-ResNet-PyTorch are comparing it to the libraries listed below
Sorting:
- Labels and other data for the paper "Are we done with ImageNet?"☆199Updated 4 years ago
- Differentiable Data Augmentation Library☆125Updated 3 years ago
- Pre-trained NFNets with 99% of the accuracy of the official paper "High-Performance Large-Scale Image Recognition Without Normalization".☆158Updated 4 years ago
- Code to reproduce the results in the FAIR research papers "Semi-Supervised Learning of Visual Features by Non-Parametrically Predicting V…☆492Updated 2 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…☆306Updated 5 years ago
- [NeurIPS'20] GradAug: A New Regularization Method for Deep Neural Networks☆94Updated 5 years ago
- Official PyTorch code for the paper "Improving Fractal Pre-training"☆27Updated 2 years ago
- REVISE: A Tool for Measuring and Mitigating Bias in Visual Datasets --- https://arxiv.org/abs/2004.07999☆110Updated 3 years ago
- A differentiable argmax function for PyTorch☆42Updated 5 years ago
- A PyTorch implementation of Sharpness-Aware Minimization for Efficiently Improving Generalization☆135Updated 4 years ago
- Repository providing a wide range of self-supervised pretrained models for computer vision tasks.☆62Updated 4 years ago
- PixMix: Dreamlike Pictures Comprehensively Improve Safety Measures (CVPR 2022)☆110Updated 3 years ago
- EsViT: Efficient self-supervised Vision Transformers☆411Updated 2 years ago
- The PASS dataset: pretrained models and how to get the data☆267Updated 3 years ago
- A Disentangling Invertible Interpretation Network☆122Updated 4 years ago
- source code for ICLR'22 paper "VOS: Learning What You Don’t Know by Virtual Outlier Synthesis"☆319Updated 2 years ago
- A script that applies the AdaIN style transfer method to arbitrary datasets☆165Updated 4 years ago
- SCOUTER: Slot Attention-based Classifier for Explainable Image Recognition (ICCV 2021)☆98Updated 3 years ago
- A new test set for ImageNet☆261Updated 2 years ago
- [CVPR 2021] Code for "Augmentation Strategies for Learning with Noisy Labels".☆113Updated 4 years ago
- Implementing Lambda Networks using Pytorch☆141Updated 5 years ago
- An attempt at the implementation of Glom, Geoffrey Hinton's new idea that integrates concepts from neural fields, top-down-bottom-up proc…☆196Updated 4 years ago
- Understanding Training Dynamics of Deep ReLU Networks☆307Updated 3 months ago
- Implementation of the paper Self-Supervised Learning of Pretext-Invariant Representations☆89Updated 5 years ago
- This Python package enables the training and inference of deep learning models for very large data, such as megapixel images, using atten…☆98Updated 6 years ago
- [NeurIPS 2022] Official PyTorch implementation of Optimizing Relevance Maps of Vision Transformers Improves Robustness. This code allows …☆133Updated 3 years ago
- Replacing Labeled Real-Image Datasets with Auto-Generated Contours (CVPR 2022)☆46Updated 2 years ago
- Train ImageNet *fast* in 500 lines of code with FFCV☆149Updated last year
- Official code for the CVPR 2021 paper "How Well Do Self-Supervised Models Transfer?"☆186Updated 2 years ago
- Pretrained SimCLRv2 models in Pytorch☆105Updated 5 years ago