Impression2805 / OpenMix
PyTorch implementation of our CVPR2023 paper "OpenMix: Exploring Out-of-Distribution samples for Misclassification Detection"
☆23Updated last year
Alternatives and similar repositories for OpenMix:
Users that are interested in OpenMix are comparing it to the libraries listed below
- PyTorch implementation of CIDER (How to exploit hyperspherical embeddings for out-of-distribution detection), ICLR 2023☆57Updated last year
- Code for NeurIPS 2021 paper "ReAct: Out-of-distribution Detection With Rectified Activations"☆51Updated 2 years ago
- PyTorch implementation of POEM (Out-of-distribution detection with posterior sampling), ICML 2022☆28Updated last year
- A list of papers that studies out-of-distribution (OOD) detection and misclassification detection (MisD)☆43Updated last year
- [CVPR 2023] This repository contains code for the paper "FCC: Feature Clusters Compression for Long-Tailed Visual Recognition", accepted …☆21Updated last year
- [WACV'23] Mixture Outlier Exposure for Out-of-Distribution Detection in Fine-grained Environments☆27Updated last year
- On the Importance of Gradients for Detecting Distributional Shifts in the Wild☆55Updated 2 years ago
- Code for the ICLR2022 paper on Subspace Regularization for few-shot class incremental image classification☆28Updated last year
- Official implementation for "Partial and Asymmetric Contrastive Learning for Out-of-Distribution Detection in Long-Tailed Recognition" (I…☆43Updated last year
- Code for TMLR 2023 paper "OpenCon: Open-world Contrastive Learning"☆35Updated last year
- [CVPR23] "Understanding and Improving Visual Prompting: A Label-Mapping Perspective" by Aochuan Chen, Yuguang Yao, Pin-Yu Chen, Yihua Zha…☆52Updated last year
- ☆16Updated 2 years ago
- ☆58Updated last year
- This codebase is the official implementation of Test-Time Classifier Adjustment Module for Model-Agnostic Domain Generalization (NeurIPS2…☆96Updated 3 years ago
- ☆29Updated last year
- ☆47Updated 2 years ago
- [NeurIPS 2023] "Learning to Augment Distributions for Out-of-distribution Detection"☆12Updated last year
- ☆62Updated last year
- [NeurIPS 2022] The official code for our NeurIPS 2022 paper "Inducing Neural Collapse in Imbalanced Learning: Do We Really Need a Learnab…☆44Updated 2 years ago
- This is an official PyTorch implementation of the ICML 2023 paper AdaNPC and SIGKDD paper DRM.☆85Updated 10 months ago
- [NeurIPS '24] Frustratingly easy Test-Time Adaptation of VLMs!!☆37Updated 3 months ago
- PyTorch implementation of MCM (Delving into out-of-distribution detection with vision-language representations), NeurIPS 2022☆78Updated 11 months ago
- About Code Release for "CLIPood: Generalizing CLIP to Out-of-Distributions" (ICML 2023), https://arxiv.org/abs/2302.00864☆63Updated last year
- [NeurIPS21] TTT++: When Does Self-supervised Test-time Training Fail or Thrive?☆65Updated 3 years ago
- Exploiting Domain-Specific Features to Enhance Domain Generalization (NeurIPS 2021).☆27Updated 2 years ago
- Test-Time Adaptation via Conjugate Pseudo-Labels☆39Updated last year
- [ICML 2023] "Unleashing Mask: Explore the Intrinsic Out-of-Distribution Detection Capability"☆18Updated last year
- MOS: Towards Scaling Out-of-distribution Detection for Large Semantic Space☆90Updated 3 years ago
- The official implementation of our work CoSDA: Continual Source-Free Domain Adaptation.☆39Updated last year
- Semi-Supervised Domain Adaptation with Source Label Adaptation, accepted to CVPR 2023☆40Updated 7 months ago