MrChenFeng / Adaptive-Soft-Contrastive-Learning_ICPR2022
ASCL: adpative Soft Contrastive Learning (ICPR2022)
☆22Updated last month
Alternatives and similar repositories for Adaptive-Soft-Contrastive-Learning_ICPR2022:
Users that are interested in Adaptive-Soft-Contrastive-Learning_ICPR2022 are comparing it to the libraries listed below
- SSR: An Efficient and Robust Framework for Learning with Unknown Label Noise (BMVC2022)☆30Updated last month
- (CVPR 2023) Coreset Sampling from Open-Set for Fine-Grained Self-Supervised Learning☆28Updated last year
- MaskCon: Masked Contrastive Learning for Coarse-Labeled Dataset (CVPR2023)☆34Updated last month
- Code release for "Cycle Self-Training for Domain Adaptation" (NeurIPS 2021)☆53Updated 3 years ago
- ☆12Updated last year
- Few-shot learning with mislabeled support samples☆41Updated 2 years ago
- The official code for the NeurIPS 2021 paper Generalized Jensen-Shannon Divergence Loss for Learning with Noisy Labels (https://arxiv.org…☆22Updated 3 years ago
- Pytorch implementation of our CVPR 23' paper DivClust: Controlling Diversity in Deep Clustering.☆31Updated last year
- Shallow Bayesian Meta Learning for Real World Few-shot Recognition☆23Updated 3 years ago
- Weakly Supervised Contrastive Learning☆41Updated 3 years ago
- ☆45Updated 3 years ago
- Code Release for "Self-supervised Learning is More Robust to Dataset Imbalance"☆38Updated 3 years ago
- Twin Contrastive Learning with Noisy Labels (CVPR 2023)☆70Updated last year
- PyTorch reimplementation of "A simple, efficient and scalable contrastive masked autoencoder for learning visual representations".☆39Updated 2 years ago
- ☆26Updated 2 years ago
- [ICCV 2023 Oral] IOMatch: Simplifying Open-Set Semi-Supervised Learning with Joint Inliers and Outliers Utilization☆48Updated last year
- the code for paper "Energy-Based Open-World Uncertainty Modeling for Confidence Calibration"☆40Updated 3 years ago
- Code for "Balanced Knowledge Distillation for Long-tailed Learning"☆27Updated last year
- Official Pytorch implementation of "Learning Debiased Representation via Disentangled Feature Augmentation (Neurips 2021, Oral)"☆101Updated 2 years ago
- PyTorch implementation of the paper "Trustworthy Long-Tailed Classification" (CVPR 2022)☆61Updated last year
- [ICASSP 2020] Code release of paper 'Heterogeneous Domain Generalization via Domain Mixup'☆26Updated 4 years ago
- Official repository of CVPR '22 paper "Contrastive Test-Time Adaptation"