naver-ai / cmo
☆47Updated last year
Alternatives and similar repositories for cmo:
Users that are interested in cmo are comparing it to the libraries listed below
- NeurIPS 2021, "Fine Samples for Learning with Noisy Labels"☆39Updated 3 years ago
- SaliencyMix: A Saliency Guided Data Augmentation Strategy for Better Regularization☆46Updated 2 years ago
- Official Pytorch implementation of "Learning Debiased Representation via Disentangled Feature Augmentation (Neurips 2021, Oral)"☆101Updated last year
- [CVPR2023] Global and Local Mixture Consistency Cumulative Learning for Long-tailed Visual Recognitions☆70Updated last year
- Official Implementation of Curriculum of Data Augmentation for Long-tailed Recognition (CUDA) (ICLR'23 Spotlight)☆20Updated last year
- [CVPR 2023] This repository contains code for the paper "FCC: Feature Clusters Compression for Long-Tailed Visual Recognition", accepted …☆21Updated last year
- CVPR 2022: Selective-Supervised Contrastive Learning with Noisy Labels☆90Updated 2 years ago
- official source code for the Paper: **Long-tailed Visual Recognition via Gaussian Clouded Logit Adjustment** based on Pytorch.☆38Updated 6 months ago
- ☆29Updated last year
- Code release for "Cycle Self-Training for Domain Adaptation" (NeurIPS 2021)☆53Updated 3 years ago
- Official PyTorch implementation of MIRO (ECCV 2022)☆86Updated 2 years ago
- Pytorch implementation for "Towards Realistic Long-Tailed Semi-Supervised Learning: Consistency Is All You Need" (CVPR 2023)☆66Updated last year
- Large Loss Matters in Weakly Supervised Multi-Label Classification - CVPR2022☆44Updated last year
- Long-Tailed Visual Recognition via Self-Heterogeneous Integration with Knowledge Excavation (CVPR 2023)☆36Updated 10 months ago
- [WACV'23] Mixture Outlier Exposure for Out-of-Distribution Detection in Fine-grained Environments☆26Updated last year
- Official implementation for "Partial and Asymmetric Contrastive Learning for Out-of-Distribution Detection in Long-Tailed Recognition" (I…☆43Updated last year
- PyTorch implementation of the paper "Trustworthy Long-Tailed Classification" (CVPR 2022)☆61Updated 11 months ago
- ICLR 2021 i-Mix: A Domain-Agnostic Strategy for Contrastive Representation Learning☆77Updated last year
- (NeurIPS 2022) Understanding Cross-Domain Few-Shot Learning Based on Domain Similarity and Few-Shot Difficulty☆33Updated 9 months ago
- [ICCV 2023 Oral] IOMatch: Simplifying Open-Set Semi-Supervised Learning with Joint Inliers and Outliers Utilization☆49Updated 11 months ago
- pytorch implementation of ABC : Auxiliary Balanced Classifier for Class-imbalanced Semi-supervised Learning☆36Updated last month
- ☆58Updated last year
- Code for the paper "Distribution Aligning Refinery of Pseudo-label for Imbalanced Semi-supervised Learning" (NeurIPS 20)☆72Updated 2 years ago
- [NeurIPS 2022] Source code for our paper "Escaping Saddle Points for Effective Generalization on Class-Imbalanced Data"☆22Updated last year
- Code for the ICLR2022 paper on Subspace Regularization for few-shot class incremental image classification☆28Updated last year
- Twin Contrastive Learning with Noisy Labels (CVPR 2023)☆69Updated last year
- "Towards Realistic Semi-Supervised Learning" by Mamshad Nayeem Rizve, Navid Kardan, Mubarak Shah (ECCV 2022)☆39Updated last year
- ☆21Updated 2 years ago
- PyTorch implementation of our CVPR2023 paper "OpenMix: Exploring Out-of-Distribution samples for Misclassification Detection"☆23Updated last year
- Code Release for "Self-supervised Learning is More Robust to Dataset Imbalance"☆38Updated 2 years ago