RabbitBoss / Awesome-Realistic-Semi-Supervised-LearningLinks
An awesome paper list of Semi-Supervised Learning under realistic settings.
☆117Updated 7 months ago
Alternatives and similar repositories for Awesome-Realistic-Semi-Supervised-Learning
Users that are interested in Awesome-Realistic-Semi-Supervised-Learning are comparing it to the libraries listed below
Sorting:
- Pytorch implementation for "Towards Realistic Long-Tailed Semi-Supervised Learning: Consistency Is All You Need" (CVPR 2023)☆70Updated 2 years ago
- [CVPR2023] Global and Local Mixture Consistency Cumulative Learning for Long-tailed Visual Recognitions☆76Updated last year
- [ICCV 2023 Oral] IOMatch: Simplifying Open-Set Semi-Supervised Learning with Joint Inliers and Outliers Utilization☆48Updated last year
- Code Release for “Balanced Contrastive Learning for Long-Tailed Visual Recognition”☆113Updated 2 years ago
- Official implementation for "Out-of-Distribution Detection in Long-Tailed Recognition with Calibrated Outlier Class Learning" (AAAI'24)☆18Updated last year
- Code for CVPR 2022 paper “Class-Aware Contrastive Semi-Supervised Learning”☆97Updated 2 years ago
- Code for ICLR 2023 paper (Oral) — Towards Stable Test-Time Adaptation in Dynamic Wild World☆189Updated last year
- ☆61Updated last year
- A repository and benchmark for online test-time adaptation.☆235Updated 3 weeks ago
- ☆9Updated last year
- (ICCV 2023) Parametric Classification for Generalized Category Discovery: A Baseline Study☆110Updated last year
- Pytorch implementation of DAPrompt: https://arxiv.org/abs/2202.06687☆94Updated 2 years ago
- "Towards Realistic Semi-Supervised Learning" by Mamshad Nayeem Rizve, Navid Kardan, Mubarak Shah (ECCV 2022)☆41Updated 2 years ago
- A PyTorch implementation of the paper Targeted Supervised Contrastive Learning for Long-tailed Recognition☆101Updated last year
- SimMatch: Semi-supervised Learning with Similarity Matching☆93Updated last year
- [CVPR 2023] Glocal Energy-based Learning for Few-Shot Open-Set Recognition☆42Updated 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
- Twin Contrastive Learning with Noisy Labels (CVPR 2023)☆70Updated last year
- Code for our NeurIPS 2022 (spotlight) paper 'Attracting and Dispersing: A Simple Approach for Source-free Domain Adaptation'☆72Updated 6 months ago
- CVPR 2022: Selective-Supervised Contrastive Learning with Noisy Labels☆93Updated 3 years ago
- Source code for the paper "Long-Tail Learning with Foundation Model: Heavy Fine-Tuning Hurts" (ICML 2024)☆84Updated 8 months ago
- Papers about long-tailed tasks☆89Updated 2 years ago
- code for our TPAMI 2021 paper "Source Data-absent Unsupervised Domain Adaptation through Hypothesis Transfer and Labeling Transfer"☆119Updated 2 years ago
- [AAAI 2024] Prompt-based Distribution Alignment for Unsupervised Domain Adaptation☆70Updated 8 months ago
- [ECCV 2022] Official Implementation for Unsupervised Selective Labeling for More Effective Semi-Supervised Learning☆62Updated last year
- [ECCV 2022] A generalized long-tailed challenge that incorporates both the conventional class-wise imbalance and the overlooked attribute…☆126Updated 10 months ago
- [AAAI 2022] Official Implementation of Active Learning for Domain Adaptation: An Energy-based Approach https://arxiv.org/abs/2112.01406☆88Updated last year
- code for our CVPR 2022 paper "DINE: Domain Adaptation from Single and Multiple Black-box Predictors"☆80Updated last year
- [CVPR 2022 Oral] Code release for "Causality Inspired Representation Learning for Domain Generalization"☆152Updated 2 years ago
- Code for IJCAI-23 Paper "Open-world Semi-supervised Novel Class Discovery"☆24Updated last year