eminorhan / ood-benchmarks
Out-of-distribution generalization benchmarks for image recognition models
☆14Updated 4 years ago
Alternatives and similar repositories for ood-benchmarks:
Users that are interested in ood-benchmarks are comparing it to the libraries listed below
- Pytorch implementation of regularization methods for deep networks obtained via kernel methods.☆22Updated 5 years ago
- pytorch implementation of "Contrastive Multiview Coding", "Momentum Contrast for Unsupervised Visual Representation Learning", and "Unsup…☆17Updated 4 years ago
- reanalysis of the ObjectNet paper and our annotations and code☆16Updated 3 years ago
- A pytorch implementation of the ICCV2021 workshop paper SimDis: Simple Distillation Baselines for Improving Small Self-supervised Models☆14Updated 3 years ago
- Implementation for <Regularizing Neural Networks via Minimizing Hyperspherical Energy> in CVPR'20.☆23Updated 4 years ago
- Learning Robust Global Representations by Penalizing Local Predictive Power (NeurIPS 2019))☆18Updated 2 years ago
- [CVPR 2021] "The Lottery Tickets Hypothesis for Supervised and Self-supervised Pre-training in Computer Vision Models" Tianlong Chen, Jon…☆68Updated 2 years ago
- [TPAMI 2019] The implementation for "Direction Concentration Learning: Enhancing Congruency in Machine Learning"☆23Updated 5 years ago
- ICLR 2021, Fair Mixup: Fairness via Interpolation☆55Updated 3 years ago
- Robustness via Cross-Domain Ensembles, ICCV 2021 [Oral]☆38Updated 3 years ago
- [ICML'21] Estimate the accuracy of the classifier in various environments through self-supervision☆27Updated 3 years ago
- Automatic model evaluation (AutoEval) in CVPR'21&TPAMI'22☆36Updated 2 years ago
- Evaluation of semi-supervised learning on challenging datasets☆35Updated 3 years ago
- models and tools for -What makes ImageNet good for Transfer Learning?☆25Updated 7 years ago
- Code for CVPR2021 paper: MOOD: Multi-level Out-of-distribution Detection☆38Updated last year
- Code for SelfAugment☆27Updated 4 years ago
- An implementation of the Residual Flow algorithm for out-of-distribution detection.☆30Updated 2 years ago
- Code of "Visualizing and Understanding Object Detecor"☆20Updated 3 years ago
- Repo for the paper "Extrapolating from a Single Image to a Thousand Classes using Distillation"☆36Updated 7 months ago
- This repository provides code for "On Interaction Between Augmentations and Corruptions in Natural Corruption Robustness".☆45Updated 2 years ago
- Implementation for What it Thinks is Important is Important: Robustness Transfers through Input Gradients (CVPR 2020 Oral)☆16Updated last year
- Seach Losses of our paper 'Loss Function Discovery for Object Detection via Convergence-Simulation Driven Search', accepted by ICLR 2021.☆56Updated 2 years ago
- ☆19Updated 5 years ago
- PyTorch implementation of Weighted Batch-Normalization layers☆37Updated 4 years ago
- [CVPR 2020] Adversarial Robustness: From Self-Supervised Pre-Training to Fine-Tuning☆85Updated 3 years ago
- ☆23Updated 3 years ago
- Code for paper "Not All Unlabeled Data are Equal: Learning to Weight Data in Semi-supervised Learning", Ren et al., NeurIPS'20☆25Updated 4 years ago
- ☆42Updated 4 years ago
- Self-Distillation with weighted ground-truth targets; ResNet and Kernel Ridge Regression☆17Updated 3 years ago
- This is the official repository for Batch Level Distillation (BLD)☆14Updated 4 years ago