Jingkang50 / OpenOODLinks
Benchmarking Generalized Out-of-Distribution Detection
☆1,025Updated 3 weeks ago
Alternatives and similar repositories for OpenOOD
Users that are interested in OpenOOD are comparing it to the libraries listed below
Sorting:
- The Official Repository for "Generalized OOD Detection: A Survey"☆455Updated 3 years ago
- 👽 Out-of-Distribution Detection with PyTorch☆332Updated 2 months ago
- A Survey☆573Updated 2 years ago
- Out-of-distribution detection, robustness, and generalization resources. The repository contains a curated list of papers, tutorials, boo…☆964Updated last month
- ☆429Updated 4 years ago
- DomainBed is a suite to test domain generalization algorithms☆1,582Updated last week
- This repo contains a PyTorch implementation of the paper: "Evidential Deep Learning to Quantify Classification Uncertainty"☆503Updated last year
- A curated list of papers & resources linked to open set recognition, out-of-distribution, open set domain adaptation and open world recog…☆1,187Updated last year
- solo-learn: a library of self-supervised methods for visual representation learning powered by Pytorch Lightning☆1,538Updated 2 weeks ago
- A PyTorch toolbox for domain generalization, domain adaptation and semi-supervised learning.☆1,400Updated 2 years ago
- Test-time Adaptation, Test-time Training and Source-free Domain Adaptation☆527Updated last year
- This repository contains a collection of surveys, datasets, papers, and codes, for predictive uncertainty estimation in deep learning mo…☆775Updated 3 weeks ago
- Collection of awesome test-time (domain/batch/instance) adaptation methods☆1,165Updated last month
- CAIRI Supervised, Semi- and Self-Supervised Visual Representation Learning Toolbox and Benchmark☆659Updated 2 months ago
- A list of papers that studies Novel Class Discovery☆513Updated 4 months ago
- A collection of literature after or concurrent with Masked Autoencoder (MAE) (Kaiming He el al.).☆857Updated last year
- Code for coreset selection methods☆247Updated 2 years ago
- Official repo for our ICLR 22 Oral paper: "Open-Set Recognition: a Good Closed-Set Classifier is All You Need?"☆299Updated 3 years ago
- Awesome things about domain generalization, including papers, code, etc.☆506Updated 8 months ago
- Robust fine-tuning of zero-shot models☆756Updated 3 years ago
- Code for paper: DivideMix: Learning with Noisy Labels as Semi-supervised Learning☆574Updated 5 years ago
- Explainability for Vision Transformers☆1,022Updated 3 years ago
- Code for ICML 2022 paper "Out-of-distribution Detection with Deep Nearest Neighbors"☆195Updated last year
- ☆493Updated last year
- CSI: Novelty Detection via Contrastive Learning on Distributionally Shifted Instances (NeurIPS 2020)☆284Updated 2 years ago
- PyTorch implementation of SimSiam https//arxiv.org/abs/2011.10566☆1,221Updated 2 years ago
- This is a toolbox for Deep Active Learning, an extension from previous work https://github.com/ej0cl6/deep-active-learning (DeepAL toolbo…☆183Updated last year
- Corruption and Perturbation Robustness (ICLR 2019)☆1,120Updated 3 years ago
- A Unified Semi-Supervised Learning Codebase (NeurIPS'22)☆1,556Updated 3 weeks ago
- [ICCV 2021- Oral] Official PyTorch implementation for Generic Attention-model Explainability for Interpreting Bi-Modal and Encoder-Decode…☆886Updated 2 years ago