JackYFL / DISCLinks
The official implementation of CVPR2023 paper "DISC: Learning from Noisy Labels via Dynamic Instance-Specific Selection and Correction"
☆56Updated 2 years ago
Alternatives and similar repositories for DISC
Users that are interested in DISC are comparing it to the libraries listed below
Sorting:
- Twin Contrastive Learning with Noisy Labels (CVPR 2023)☆73Updated 2 years ago
- CVPR 2022: Selective-Supervised Contrastive Learning with Noisy Labels☆95Updated 3 years ago
- Code for "Towards Effective Visual Representations for Partial-Label Learning" in CVPR 2023.☆24Updated 2 years ago
- PyTorch implementation of the paper "Trustworthy Long-Tailed Classification" (CVPR 2022)☆61Updated last year
- PyTorch implementation of CIDER (How to exploit hyperspherical embeddings for out-of-distribution detection), ICLR 2023☆63Updated 2 years ago
- Pytorch implementation for "Towards Realistic Long-Tailed Semi-Supervised Learning: Consistency Is All You Need" (CVPR 2023)☆71Updated 2 years ago
- Semi-Supervised Domain Adaptation with Source Label Adaptation, accepted to CVPR 2023☆43Updated last year
- A PyTorch implementation of the paper Targeted Supervised Contrastive Learning for Long-tailed Recognition☆104Updated 2 years ago
- [ICCV 2023 Oral] IOMatch: Simplifying Open-Set Semi-Supervised Learning with Joint Inliers and Outliers Utilization☆55Updated last year
- This is an official PyTorch implementation of the ICML 2023 paper AdaNPC and SIGKDD paper DRM.☆86Updated last year
- Official repository of CVPR '22 paper "Contrastive Test-Time Adaptation"☆106Updated 3 years ago
- A PyTorch-based library for On Learning Contrastive Representations for Learning With Noisy Labels (CVPR'22)☆44Updated 3 years ago
- Local Context-Aware Active Domain Adaptation (ICCV 2023)☆21Updated 2 years ago
- The official implementation for paper: Vision-Language Models are Strong Noisy Label Detectors☆15Updated 9 months ago
- ☆49Updated 2 years ago
- Code for TMLR 2023 paper "OpenCon: Open-world Contrastive Learning"☆39Updated 2 years ago
- Code for our NeurIPS 2022 (spotlight) paper 'Attracting and Dispersing: A Simple Approach for Source-free Domain Adaptation'☆73Updated last year
- Source code for the NeurIPS 2022 Spotlight paper: "Unified Optimal Transport Framework for Universal Domain Adaptation"☆63Updated 3 years ago
- "Towards Realistic Semi-Supervised Learning" by Mamshad Nayeem Rizve, Navid Kardan, Mubarak Shah (ECCV 2022)☆41Updated 2 years ago
- ☆41Updated last year
- [ECCV 2022] A generalized long-tailed challenge that incorporates both the conventional class-wise imbalance and the overlooked attribute…☆125Updated 2 weeks ago
- Code for the paper: "Trash to Treasure: Harvesting OOD Data with Cross-Modal Matching for Open-Set Semi-Supervised Learning"☆25Updated 4 years ago
- This codebase is the official implementation of Test-Time Classifier Adjustment Module for Model-Agnostic Domain Generalization (NeurIPS2…☆104Updated 4 years ago
- [ICLR 2022] Open-World Semi-Supervised Learning☆106Updated 3 years ago
- PMR: Prototypical Modal Rebalance for Multimodal Learning☆44Updated 2 years ago
- [ECCV 2022] Offical implementation of the paper "Acknowledging the Unknown for Multi-label Learning with Single Positive Labels".☆44Updated last year
- Code for ICML 2022 paper — Efficient Test-Time Model Adaptation without Forgetting☆135Updated 2 years ago
- [CVPR'22] Official Implementation of the CVPR 2022 paper "UNICON: Combating Label Noise Through Uniform Selection and Contrastive Learnin…☆63Updated last year
- PyTorch implementation of our CVPR 2024 paper "Unified Entropy Optimization for Open-Set Test-Time Adaptation"☆32Updated last year
- Source code for NeurIPS 2022 paper SoLar☆30Updated 2 years ago