Alternatives and similar repositories for MixCo-Mixup-Contrast

Users that are interested in MixCo-Mixup-Contrast are comparing it to the libraries listed below

• szq0214 / Un-Mix
  Un-Mix: Rethinking Image Mixtures for Unsupervised Visual Representation Learning.
  ☆151Updated 2 years ago
• hankook / AugSelf
  ☆46Updated 3 years ago
• hankook / SLA
  Self-supervised Label Augmentation via Input Transformations (ICML 2020)
  ☆105Updated 4 years ago
• frank-xwang / CLD-UnsupervisedLearning
  [CVPR 2021] Code release for "Unsupervised Feature Learning by Cross-Level Instance-Group Discrimination."
  ☆101Updated 3 years ago
• Phoenix1153 / ViT_OOD_generalization
  ☆85Updated 3 years ago
• snu-mllab / Co-Mixup
  Official PyTorch implementation of "Co-Mixup: Saliency Guided Joint Mixup with Supermodular Diversity" (ICLR'21 Oral)
  ☆104Updated 3 years ago
• ydkim1293 / NLNL-Negative-Learning-for-Noisy-Labels
  NLNL: Negative Learning for Noisy Labels
  ☆104Updated 5 years ago
• dnap512 / SelfReg
  PyTorch implementation of Self-supervised Contrastive Regularization for DG (SelfReg) [ICCV2021]
  ☆77Updated 3 years ago
• htdt / self-supervised
  Whitening for Self-Supervised Representation Learning | Official repository
  ☆129Updated 2 years ago
• dvlab-research / MiSLAS
  Improving Calibration for Long-Tailed Recognition (CVPR2021)
  ☆148Updated 3 years ago
• cvl-umass / ssl-evaluation
  Evaluation of semi-supervised learning on challenging datasets
  ☆37Updated 3 years ago
• GT-RIPL / FeatMatch
  PyTorch code for the paper: "FeatMatch: Feature-Based Augmentation for Semi-Supervised Learning"
  ☆50Updated 4 years ago
• UMBCvision / MSF
  Official code for "Mean Shift for Self-Supervised Learning"
  ☆57Updated 3 years ago
• HAHA-DL / Episodic-DG
  This is the repo for the paper "Episodic Training for Domain Generalization" https://arxiv.org/abs/1902.00113
  ☆57Updated 2 years ago
• hyperconnect / LADE
  This repository contains code for the paper "Disentangling Label Distribution for Long-tailed Visual Recognition", published at CVPR' 202…
  ☆102Updated 2 years ago
• brjathu / SKD
  SKD : Self-supervised Knowledge Distillation for Few-shot Learning
  ☆98Updated last year
• VisionLearningGroup / visda21-dev
  ☆46Updated 3 years ago
• asrafulashiq / transfer_broad
  Pytorch Code for "A Broad Study on the Transferability of Visual Representations with Contrastive Learning" (ICCV 2021)
  ☆36Updated 3 years ago
• liulu112601 / URT
  ICLR 2021: A Universal Representation Transformer Layer for Few-Shot Image Classification
  ☆105Updated 4 years ago
• VITA-Group / SDCLR
  [ICML 2021] “ Self-Damaging Contrastive Learning”, Ziyu Jiang, Tianlong Chen, Bobak Mortazavi, Zhangyang Wang
  ☆63Updated 3 years ago
• amazon-science / exponential-moving-average-normalization
  PyTorch implementation of EMAN for self-supervised and semi-supervised learning: https://arxiv.org/abs/2101.08482
  ☆103Updated 4 years ago
• prithv1 / DMG
  Code for our ECCV paper -- "Learning to Balance Specificity and Invariance for In and Out of Domain Generalization"
  ☆56Updated 4 years ago
• Jingkang50 / ICCV21_SCOOD
  The Official Implementation of the ICCV-2021 Paper: Semantically Coherent Out-of-Distribution Detection.
  ☆70Updated 3 years ago
• wvangansbeke / Revisiting-Contrastive-SSL
  Revisiting Contrastive Methods for Unsupervised Learning of Visual Representations. [NeurIPS 2021]
  ☆89Updated 3 years ago
• thuml / CoTuning
  Code release for NeurIPS 2020 paper "Co-Tuning for Transfer Learning"
  ☆40Updated 3 years ago
• frank-xwang / debiased-pseudo-labeling
  [CVPR 2022] Pytorch implementation for “Debiased Learning from Naturally Imbalanced Pseudo-Labels”
  ☆99Updated 2 years ago
• jacobswan1 / SEED
  ☆37Updated 3 years ago
• deeplearning-wisc / large_scale_ood
  MOS: Towards Scaling Out-of-distribution Detection for Large Semantic Space
  ☆93Updated 4 years ago
• ssnl / moco_align_uniform
  MoCo with Alignment and Uniformity Loss.
  ☆62Updated 3 years ago
• CupidJay / Scaled-down-self-supervised-learning
  official pytorch implementation of Rethining Self-supervised Learning: Small is Beautiful.
  ☆42Updated 4 years ago