facebookresearch / odin
A simple and effective method for detecting out-of-distribution images in neural networks.
☆535Updated 3 years ago
Alternatives and similar repositories for odin:
Users that are interested in odin are comparing it to the libraries listed below
- Code for the paper "A Simple Unified Framework for Detecting Out-of-Distribution Samples and Adversarial Attacks".☆344Updated 5 years ago
- Deep Anomaly Detection with Outlier Exposure (ICLR 2019)☆550Updated 3 years ago
- AugMix: A Simple Data Processing Method to Improve Robustness and Uncertainty☆981Updated 5 months ago
- Self-Supervised Learning for OOD Detection (NeurIPS 2019)☆266Updated 3 years ago
- Learning Confidence for Out-of-Distribution Detection in Neural Networks☆268Updated 6 years ago
- A Baseline for Detecting Misclassified and Out-of-Distribution Examples in Neural Networks☆226Updated 6 years ago
- Code for reproducing Manifold Mixup results (ICML 2019)☆486Updated 9 months ago
- ☆403Updated 3 years ago
- Training Confidence-Calibrated Classifier for Detecting Out-of-Distribution Samples / ICLR 2018☆179Updated 4 years ago
- Self-labelling via simultaneous clustering and representation learning. (ICLR 2020)☆538Updated 5 months ago
- Open source release of the evaluation benchmark suite described in "Realistic Evaluation of Deep Semi-Supervised Learning Algorithms"☆460Updated 5 years ago
- The Ultimate Reference for Out of Distribution Detection with Deep Neural Networks☆118Updated 5 years ago
- Source code for ICLR 2018 Paper: Active Learning for Convolutional Neural Networks: A Core-Set Approach☆263Updated 6 years ago
- Scaling and Benchmarking Self-Supervised Visual Representation Learning☆585Updated 3 years ago
- CSI: Novelty Detection via Contrastive Learning on Distributionally Shifted Instances (NeurIPS 2020)☆278Updated last year
- Public repo for Augmented Multiscale Deep InfoMax representation learning☆400Updated 4 years ago
- Variational Adversarial Active Learning (ICCV 2019)☆226Updated last year
- (ICML 2020) This repo contains code for our paper "Revisiting Training Strategies and Generalization Performance in Deep Metric Learning"…☆341Updated 2 years ago
- Understanding Deep Networks via Extremal Perturbations and Smooth Masks☆345Updated 4 years ago
- Wide Residual Networks (WideResNets) in PyTorch☆336Updated 3 years ago
- ImageNet-R(endition) and DeepAugment (ICCV 2021)☆258Updated 3 years ago
- A toolbox for domain adaptation and semi-supervised learning. Contributions welcome.☆335Updated 3 years ago
- Pytorch implementation for "Large-Scale Long-Tailed Recognition in an Open World" (CVPR 2019 ORAL)☆851Updated 2 years ago
- Tools for generating mini-ImageNet dataset and processing batches☆430Updated 4 years ago
- ☆351Updated 4 years ago
- Corruption and Perturbation Robustness (ICLR 2019)☆1,039Updated 2 years ago
- Improving Consistency-Based Semi-Supervised Learning with Weight Averaging☆185Updated 5 years ago
- A library for ML benchmarking. It's powerful.☆433Updated last year
- Unofficial PyTorch Reimplementation of RandAugment.☆631Updated last year