NUST-Machine-Intelligence-Laboratory / PNP
The source code and models for our paper PNP: Robust Learning from Noisy Labels by Probabilistic Noise Prediction
☆9Updated last year
Related projects: ⓘ
- [CVPR 2023] Feature Alignment and Uniformity for Test Time Adaptation☆40Updated 3 months ago
- 🔥MDCS: More Diverse Experts with Consistency Self-distillation for Long-tailed Recognition [Official, ICCV 2023]☆25Updated 6 months ago
- Pytorch implementation for "Towards Realistic Long-Tailed Semi-Supervised Learning: Consistency Is All You Need" (CVPR 2023)☆63Updated last year
- Pytorch implementation of "Test-time Adaption against Multi-modal Reliability Bias".☆25Updated last month
- [CVPR 2023] Modeling Inter-Class and Intra-Class Constraints in Novel Class Discovery☆19Updated 8 months ago
- About Code Release for "CLIPood: Generalizing CLIP to Out-of-Distributions" (ICML 2023), https://arxiv.org/abs/2302.00864☆58Updated last year
- Long-Tailed Visual Recognition via Self-Heterogeneous Integration with Knowledge Excavation (CVPR 2023)☆34Updated 6 months ago
- [ICLR 2023 Spotlight] Code release for "Dirichlet-based Uncertainty Calibration for Active Domain Adaptation"☆27Updated last year
- [ICCV 2023 Oral] IOMatch: Simplifying Open-Set Semi-Supervised Learning with Joint Inliers and Outliers Utilization☆50Updated 7 months ago
- ID-like Prompt Learning for Few-Shot Out-of-Distribution Detection☆17Updated 4 months ago
- This repo is the official implementation of "Prompt-driven Latent Domain Generalization for Medical Image Classification".☆10Updated 5 months ago
- Code for our CVPR 2024 paper "Active Generalized Category Discovery"☆25Updated 2 weeks ago
- Twin Contrastive Learning with Noisy Labels (CVPR 2023)☆66Updated last year
- ☆14Updated last year
- Code and Model For SAA☆12Updated 11 months ago
- [CVPR2023] Global and Local Mixture Consistency Cumulative Learning for Long-tailed Visual Recognitions☆68Updated last year
- ☆42Updated 10 months ago
- ☆30Updated 7 months ago
- Code for our NeurIPS 2022 (spotlight) paper 'Attracting and Dispersing: A Simple Approach for Source-free Domain Adaptation'☆61Updated 3 weeks ago
- WACV 2022☆10Updated 2 years ago
- "Towards Realistic Semi-Supervised Learning" by Mamshad Nayeem Rizve, Navid Kardan, Mubarak Shah (ECCV 2022)☆37Updated last year
- [CVPR' 23] Adjustment and Alignment for Unbiased Open Set Domain Adaptation☆16Updated last year
- ☆35Updated last year
- ☆22Updated last year
- Code for "Towards Effective Visual Representations for Partial-Label Learning" in CVPR 2023.☆22Updated 9 months ago
- Exploiting Domain-Specific Features to Enhance Domain Generalization (NeurIPS 2021).☆28Updated 2 years ago
- Implementation Code for paper "Efficient Multimodal Fusion via Interactive Prompting" in CVPR2023☆12Updated last year
- Official implementation of Evidential Uncertainty Quantification: A Variance-Based Perspective [WACV 2024]☆11Updated 9 months ago
- [CVPR 2023] Robust Test-Time Adaptation in Dynamic Scenarios. https://arxiv.org/abs/2303.13899☆52Updated last year
- <Model Adaptation: Historical Contrastive Learning for Unsupervised Domain Adaptation without Source Data> in NIPS 2021☆49Updated 2 years ago