eminorhan / ood-benchmarksLinks
Out-of-distribution generalization benchmarks for image recognition models
☆14Updated 5 years ago
Alternatives and similar repositories for ood-benchmarks
Users that are interested in ood-benchmarks are comparing it to the libraries listed below
Sorting:
- [CVPR 2021] "The Lottery Tickets Hypothesis for Supervised and Self-supervised Pre-training in Computer Vision Models" Tianlong Chen, Jon…☆68Updated 2 years ago
- [CVPR 2020] Adversarial Robustness: From Self-Supervised Pre-Training to Fine-Tuning☆85Updated 3 years ago
- [ICML'21] Estimate the accuracy of the classifier in various environments through self-supervision☆27Updated 4 years ago
- Automatic model evaluation (AutoEval) in CVPR'21&TPAMI'22☆37Updated 2 years ago
- ☆42Updated 4 years ago
- Implementation for <Regularizing Neural Networks via Minimizing Hyperspherical Energy> in CVPR'20.☆24Updated 5 years ago
- ICLR 2021, Fair Mixup: Fairness via Interpolation☆57Updated 4 years ago
- pytorch implementation of "Contrastive Multiview Coding", "Momentum Contrast for Unsupervised Visual Representation Learning", and "Unsup…☆18Updated 5 years ago
- ☆46Updated 2 years ago
- Code for our paper "Informative Dropout for Robust Representation Learning: A Shape-bias Perspective" (ICML 2020)☆125Updated 2 years ago
- Code for CVPR2021 paper: MOOD: Multi-level Out-of-distribution Detection☆38Updated 2 years ago
- Code for SelfAugment☆27Updated 4 years ago
- [WACV21] Code for our paper: Samuel, Atzmon and Chechik, "From Generalized zero-shot learning to long-tail with class descriptors"☆28Updated 4 years ago
- An implementation of the Residual Flow algorithm for out-of-distribution detection.☆31Updated 3 years ago
- ☆20Updated 4 years ago
- Codes for Understanding Architectures Learnt by Cell-based Neural Architecture Search☆27Updated 5 years ago
- This is the official repository for Batch Level Distillation (BLD)☆15Updated 4 years ago
- bilevel_augment is a ServiceNow Research project that was started at Element AI.☆27Updated 3 years ago
- Trained model weights, training and evaluation code from the paper "A simple way to make neural networks robust against diverse image cor…☆62Updated 2 years ago
- [NeurIPS 2020] "Once-for-All Adversarial Training: In-Situ Tradeoff between Robustness and Accuracy for Free" by Haotao Wang*, Tianlong C…☆44Updated 3 years ago
- Repo for the paper "Extrapolating from a Single Image to a Thousand Classes using Distillation"☆37Updated last year
- Code for reproducing experiments in "How Useful is Self-Supervised Pretraining for Visual Tasks?"☆60Updated last year
- (ECCV 2020) This repo contains code for "DiVA: Diverse Visual Feature Aggregation for Deep Metric Learning" (https://arxiv.org/abs/2004.1…☆36Updated 3 years ago
- Official PyTorch implementation of "Co-Mixup: Saliency Guided Joint Mixup with Supermodular Diversity" (ICLR'21 Oral)☆105Updated 3 years ago
- Unsupervised Domain Adaptation through Self-Supervision☆79Updated 4 years ago
- Pre-Training Buys Better Robustness and Uncertainty Estimates (ICML 2019)☆100Updated 3 years ago
- Paper and Code for "Curriculum Learning by Optimizing Learning Dynamics" (AISTATS 2021)☆19Updated 4 years ago
- Official PyTorch implementation of “Flexible Dataset Distillation: Learn Labels Instead of Images”☆42Updated 4 years ago
- Improving generalization by controlling label-noise information in neural network weights.☆40Updated 4 years ago
- Code of "Visualizing and Understanding Object Detecor"☆20Updated 4 years ago