TACJu / Bi-SamplingLinks
This is the official PyTorch implementation of the paper "Rethinking Re-Sampling in Imbalanced Semi-Supervised Learning" (Ju He, Adam Kortylewski, Shaokang Yang, Shuai Liu, Cheng Yang, Changhu Wang, Alan Yuille).
☆26Updated 4 years ago
Alternatives and similar repositories for Bi-Sampling
Users that are interested in Bi-Sampling are comparing it to the libraries listed below
Sorting:
- Code for the paper "Distribution Aligning Refinery of Pseudo-label for Imbalanced Semi-supervised Learning" (NeurIPS 20)☆75Updated 3 years ago
- Repository for the paper `DASO: Distribution-Aware Semantics-Oriented Pseudo-label Imbalanced Semi-Supervised Learning'.☆73Updated 3 years ago
- Code Release for "Self-supervised Learning is More Robust to Dataset Imbalance"☆39Updated 3 years ago
- pytorch implementation of ABC : Auxiliary Balanced Classifier for Class-imbalanced Semi-supervised Learning☆39Updated last year
- Code for "Balanced Knowledge Distillation for Long-tailed Learning"☆29Updated 2 years ago
- [CVPR 2022] Pytorch implementation for “Debiased Learning from Naturally Imbalanced Pseudo-Labels”☆105Updated 4 months ago
- Official codes: Self-Supervised Learning by Estimating Twin Class Distribution☆100Updated 4 years ago
- Repo for CReST: A Class-Rebalancing Self-Training Framework for Imbalanced Semi-Supervised Learning☆101Updated last year
- PyTorch Implementation of Temporal Output Discrepancy for Active Learning, ICCV 2021☆40Updated 3 years ago
- PyTorch implementation of Self-supervised Contrastive Regularization for DG (SelfReg) [ICCV2021]☆78Updated 3 years ago
- ☆22Updated 4 years ago
- ResLT: Residual Learning for Long-tailed Recognition (TPAMI 2022)☆61Updated 2 years ago
- Official PyTorch Implementation of "CoSSL: Co-Learning of Representation and Classifier for Imbalanced Semi-Supervised Learning" (CVPR 20…☆53Updated 3 years ago
- [ECCV 2022] Multi-Domain Long-Tailed Recognition, Imbalanced Domain Generalization, and Beyond☆141Updated 3 years ago
- PyTorch implementation of the paper "SuperLoss: A Generic Loss for Robust Curriculum Learning" in NIPS 2020.☆29Updated 5 years ago
- Code release for "Dynamic Domain Adaptation for Efficient Inference" (CVPR 2021)☆34Updated 4 years ago
- Code for CoMatch: Semi-supervised Learning with Contrastive Graph Regularization☆129Updated 9 months ago
- [CVPR 2021] Adaptive Consistency Regularization for Semi-Supervised Transfer Learning☆106Updated 4 years ago
- (NeurIPS 2020 Workshop on SSL) Official Implementation of "MixCo: Mix-up Contrastive Learning for Visual Representation"☆58Updated 3 years ago
- ☆48Updated 2 years ago
- Benchmarks for semi-supervised domain generalization.☆72Updated 3 years ago
- ☆31Updated 9 months ago
- PyTorch code for the paper "Curriculum Graph Co-Teaching for Multi-target Domain Adaptation" (CVPR2021)☆105Updated 4 years ago
- ☆60Updated 2 years ago
- [CVPR 2020] Rethinking Class-Balanced Methods for Long-Tailed Visual Recognition from a Domain Adaptation Perspective☆24Updated 5 years ago
- Code for "Multi-Task Curriculum Framework for Open-Set Semi-Supervised Learning"☆25Updated 5 years ago
- SimMatch: Semi-supervised Learning with Similarity Matching☆92Updated 2 years ago
- [CVPR 2021] Code release for "Unsupervised Feature Learning by Cross-Level Instance-Group Discrimination."☆101Updated 3 years ago
- Tensorflow Implementation on Paper [AAAI2020]Semi-Supervised Learning under Class Distribution Mismatch☆15Updated 4 years ago
- Code release for NeurIPS 2020 paper "Co-Tuning for Transfer Learning"☆40Updated 3 years ago