JackYFL / DISC
The official implementation of CVPR2023 paper "DISC: Learning from Noisy Labels via Dynamic Instance-Specific Selection and Correction"
☆46Updated last year
Alternatives and similar repositories for DISC:
Users that are interested in DISC are comparing it to the libraries listed below
- This is the source code of LRA-diffusion for learning from noisy labels☆30Updated last year
- Twin Contrastive Learning with Noisy Labels (CVPR 2023)☆70Updated last year
- [ICCV 2023 Oral] IOMatch: Simplifying Open-Set Semi-Supervised Learning with Joint Inliers and Outliers Utilization☆48Updated last year
- A PyTorch implementation of the paper Targeted Supervised Contrastive Learning for Long-tailed Recognition☆100Updated last year
- Code for the paper: "Trash to Treasure: Harvesting OOD Data with Cross-Modal Matching for Open-Set Semi-Supervised Learning"☆25Updated 3 years ago
- A pytorch implementation for "Neighborhood Collective Estimation for Noisy Label Identification and Correction", which is accepted by ECC…☆25Updated 2 years ago
- This is an official PyTorch implementation of the ICML 2023 paper AdaNPC and SIGKDD paper DRM.☆86Updated last year
- CVPR 2022: Selective-Supervised Contrastive Learning with Noisy Labels☆92Updated 3 years ago
- [CVPR'22] Official Implementation of the CVPR 2022 paper "UNICON: Combating Label Noise Through Uniform Selection and Contrastive Learnin…☆62Updated 7 months ago
- The offical implement of ImbSAM (Imbalanced-SAM)☆23Updated last year
- This codebase is the official implementation of Test-Time Classifier Adjustment Module for Model-Agnostic Domain Generalization (NeurIPS2…☆97Updated 3 years ago
- PyTorch implementation of the paper "Trustworthy Long-Tailed Classification" (CVPR 2022)☆61Updated last year
- A PyTorch-based library for On Learning Contrastive Representations for Learning With Noisy Labels (CVPR'22)☆44Updated 2 years ago
- [ECCV 2022] Official Implementation for Unsupervised Selective Labeling for More Effective Semi-Supervised Learning☆61Updated last year
- Challenging label noise called BadLabel; Robust label-noise learning called Robust DivideMix☆12Updated last year
- Code release for "Cycle Self-Training for Domain Adaptation" (NeurIPS 2021)☆53Updated 3 years ago
- ☆43Updated last year
- Label-Noise Learning with Intrinsically Long-Tailed Data(ICCV2023)☆20Updated last year
- Code for NeurIPS 2021 paper "ReAct: Out-of-distribution Detection With Rectified Activations"☆53Updated 3 years ago
- ☆48Updated last year
- [CVPR 2023] Feature Alignment and Uniformity for Test Time Adaptation☆48Updated last month
- ☆11Updated last year
- Long-Tailed Visual Recognition via Self-Heterogeneous Integration with Knowledge Excavation (CVPR 2023)☆37Updated last year
- Code for our NeurIPS 2022 (spotlight) paper 'Attracting and Dispersing: A Simple Approach for Source-free Domain Adaptation'☆70Updated 4 months ago
- ☆58Updated 2 years ago
- MattiaLitrico / Guiding-Pseudo-labels-with-Uncertainty-Estimation-for-Source-free-Unsupervised-Domain-AdaptationCode for "Guiding-Pseudo-labels-with-Uncertainty-Estimation-for-Source-free-Unsupervised-Domain-Adaptation" (CVPR 2023)☆97Updated 2 years ago
- This is the official repo for our CVPR22 paper: Scalable Penalized Regression for Noise Detection in Learning With Noisy Labels.☆18Updated last year
- Code for CVPR 2022 paper “Class-Aware Contrastive Semi-Supervised Learning”☆97Updated 2 years ago
- Code for "Multi-Task Curriculum Framework for Open-Set Semi-Supervised Learning"☆24Updated 4 years ago
- Pytorch implementation for "Towards Realistic Long-Tailed Semi-Supervised Learning: Consistency Is All You Need" (CVPR 2023)☆68Updated last year