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)☆71Updated 2 years ago
- [CVPR2023] Global and Local Mixture Consistency Cumulative Learning for Long-tailed Visual Recognitions☆76Updated last year
- A repository and benchmark for online test-time adaptation.☆237Updated last month
- ☆61Updated last year
- A PyTorch implementation of the paper Targeted Supervised Contrastive Learning for Long-tailed Recognition☆102Updated last year
- Exploiting Domain-Specific Features to Enhance Domain Generalization (NeurIPS 2021).☆28Updated 3 years ago
- Twin Contrastive Learning with Noisy Labels (CVPR 2023)☆70Updated last year
- Code for ICLR 2023 paper (Oral) — Towards Stable Test-Time Adaptation in Dynamic Wild World☆191Updated last year
- Code for our NeurIPS 2022 (spotlight) paper 'Attracting and Dispersing: A Simple Approach for Source-free Domain Adaptation'☆73Updated 7 months ago
- ☆9Updated last year
- 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)☆85Updated 8 months ago
- [ICCV 2023 Oral] IOMatch: Simplifying Open-Set Semi-Supervised Learning with Joint Inliers and Outliers Utilization☆48Updated last year
- A list of papers that studies out-of-distribution (OOD) detection and misclassification detection (MisD)☆49Updated last year
- Official implementation for "Out-of-Distribution Detection in Long-Tailed Recognition with Calibrated Outlier Class Learning" (AAAI'24)☆17Updated last year
- (ICCV 2023) Parametric Classification for Generalized Category Discovery: A Baseline Study☆111Updated last year
- [CVPR 2023] This repository contains code for the paper "FCC: Feature Clusters Compression for Long-Tailed Visual Recognition", accepted …☆22Updated 2 years ago
- ☆49Updated last year
- "Towards Realistic Semi-Supervised Learning" by Mamshad Nayeem Rizve, Navid Kardan, Mubarak Shah (ECCV 2022)☆41Updated 2 years ago
- Code for TMLR 2023 paper "OpenCon: Open-world Contrastive Learning"☆37Updated 2 years ago
- ☆41Updated 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)☆98Updated 2 years ago
- [CVPR2022] Official implementation of DALN.☆86Updated 2 years ago
- Code Release for “Balanced Contrastive Learning for Long-Tailed Visual Recognition”☆113Updated 2 years ago
- [CVPR 2024] Targeted Representation Alignment for Open-World Semi-Supervised Learning☆13Updated 9 months ago
- PyTorch implementation of the paper: Long-tail Learning via Logit Adjustment☆114Updated 3 years ago
- <Model Adaptation: Historical Contrastive Learning for Unsupervised Domain Adaptation without Source Data> in NIPS 2021☆50Updated 2 years ago
- ☆13Updated 2 years ago
- A list of awesome partial-label learning papers and codes.☆36Updated 2 months ago
- A curated list of most recent papers & codes in Learning with Partial/Complementary Labels☆59Updated 7 months ago