Lee-Gihun / MixCo-Mixup-Contrast
(NeurIPS 2020 Workshop on SSL) Official Implementation of "MixCo: Mix-up Contrastive Learning for Visual Representation"
☆58Updated 2 years ago
Alternatives and similar repositories for MixCo-Mixup-Contrast:
Users that are interested in MixCo-Mixup-Contrast are comparing it to the libraries listed below
- Un-Mix: Rethinking Image Mixtures for Unsupervised Visual Representation Learning.☆151Updated 2 years ago
- Self-supervised Label Augmentation via Input Transformations (ICML 2020)☆104Updated 4 years ago
- ☆45Updated 3 years ago
- Pytorch Code for "A Broad Study on the Transferability of Visual Representations with Contrastive Learning" (ICCV 2021)☆36Updated 3 years ago
- Evaluation of semi-supervised learning on challenging datasets☆36Updated 3 years ago
- Official codes: Self-Supervised Learning by Estimating Twin Class Distribution☆100Updated 3 years ago
- [CVPR 2021] Code release for "Unsupervised Feature Learning by Cross-Level Instance-Group Discrimination."☆101Updated 2 years ago
- Revisiting Contrastive Methods for Unsupervised Learning of Visual Representations. [NeurIPS 2021]☆88Updated 3 years ago
- PyTorch implementation of Self-supervised Contrastive Regularization for DG (SelfReg) [ICCV2021]☆77Updated 3 years ago
- ISD: Self-Supervised Learning by Iterative Similarity Distillation☆36Updated 3 years ago
- [ICML 2021] “ Self-Damaging Contrastive Learning”, Ziyu Jiang, Tianlong Chen, Bobak Mortazavi, Zhangyang Wang☆63Updated 3 years ago
- Official code for "Mean Shift for Self-Supervised Learning"☆57Updated 3 years ago
- Pretrained models for "What Makes Instance Discrimination Good for Transfer Learning?".☆29Updated 2 years ago
- ☆84Updated 3 years ago
- the code for paper "Energy-Based Open-World Uncertainty Modeling for Confidence Calibration"☆40Updated 3 years ago
- ☆36Updated 3 years ago
- Code for our ECCV paper -- "Learning to Balance Specificity and Invariance for In and Out of Domain Generalization"☆55Updated 4 years ago
- ReSSL: Relational Self-Supervised Learning with Weak Augmentation☆58Updated 3 years ago
- NeurIPS 2021, "Fine Samples for Learning with Noisy Labels"☆39Updated 3 years ago
- ☆28Updated 3 years ago
- Official PyTorch Implementation of "CoSSL: Co-Learning of Representation and Classifier for Imbalanced Semi-Supervised Learning" (CVPR 20…☆53Updated 2 years ago
- [ECCV 2020] Learning from Extrinsic and Intrinsic Supervisions for Domain Generalization☆48Updated 2 years ago
- [WACV21] Code for our paper: Samuel, Atzmon and Chechik, "From Generalized zero-shot learning to long-tail with class descriptors"☆28Updated 3 years ago
- ☆29Updated 3 years ago
- Official PyTorch implementation of "Co-Mixup: Saliency Guided Joint Mixup with Supermodular Diversity" (ICLR'21 Oral)☆103Updated 3 years ago
- Compressing Representations for Self-Supervised Learning☆78Updated 4 years ago
- ICLR 2021 i-Mix: A Domain-Agnostic Strategy for Contrastive Representation Learning☆77Updated last year
- [CVPR 2022] Pytorch implementation for “Debiased Learning from Naturally Imbalanced Pseudo-Labels”☆97Updated 2 years ago
- PyTorch code for the paper: "FeatMatch: Feature-Based Augmentation for Semi-Supervised Learning"☆50Updated 4 years ago
- Official Pytorch implementation of "Learning Debiased Representation via Disentangled Feature Augmentation (Neurips 2021, Oral)"☆101Updated 2 years ago