Alternatives and similar repositories for C2D:

Users that are interested in C2D 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
• snu-mllab / Co-Mixup
  Official PyTorch implementation of "Co-Mixup: Saliency Guided Joint Mixup with Supermodular Diversity" (ICLR'21 Oral)
  ☆103Updated 3 years ago
• frank-xwang / debiased-pseudo-labeling
  [CVPR 2022] Pytorch implementation for “Debiased Learning from Naturally Imbalanced Pseudo-Labels”
  ☆97Updated 2 years ago
• VisionLearningGroup / visda21-dev
  ☆46Updated 3 years ago
• bytedance / TWIST
  Official codes: Self-Supervised Learning by Estimating Twin Class Distribution
  ☆100Updated 3 years ago
• 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
• YU1ut / Ensemble-of-Leave-out-Classifiers
  Code for "Out-of-Distribution Detection Using an Ensemble of Self Supervised Leave-out Classifiers"
  ☆27Updated 2 years ago
• Phoenix1153 / ViT_OOD_generalization
  ☆84Updated 3 years ago
• salesforce / MoPro
  MoPro: Webly Supervised Learning
  ☆87Updated 4 years ago
• salesforce / CoMatch
  Code for CoMatch: Semi-supervised Learning with Contrastive Graph Regularization
  ☆127Updated 3 years ago
• dvlab-research / MiSLAS
  Improving Calibration for Long-Tailed Recognition (CVPR2021)
  ☆147Updated 3 years ago
• UMBCvision / CompRess
  Compressing Representations for Self-Supervised Learning
  ☆78Updated 4 years ago
• thuml / CoTuning
  Code release for NeurIPS 2020 paper "Co-Tuning for Transfer Learning"
  ☆40Updated 2 years ago
• yingyichen-cyy / Nested-Co-teaching
  (L2ID@CVPR2021, TNNLS2022) Boosting Co-teaching with Compression Regularization for Label Noise
  ☆48Updated 2 years ago
• abhinavagarwalla / swav-cifar10
  SwAV for CIFAR-10, adapted from https://github.com/facebookresearch/swav
  ☆28Updated 3 years ago
• brjathu / SKD
  SKD : Self-supervised Knowledge Distillation for Few-shot Learning
  ☆96Updated last year
• stanford-futuredata / sinkhorn-label-allocation
  Sinkhorn Label Allocation is a label assignment method for semi-supervised self-training algorithms. The SLA algorithm is described in fu…
  ☆53Updated 3 years ago
• CoinCheung / fixmatch-pytorch
  90%+ with 40 labels. please see the readme for details.
  ☆37Updated 4 years ago
• bethgelab / robustness
  Robustness and adaptation of ImageNet scale models. Pre-Release, stay tuned for updates.
  ☆134Updated last year
• VITA-Group / SDCLR
  [ICML 2021] “ Self-Damaging Contrastive Learning”, Ziyu Jiang, Tianlong Chen, Bobak Mortazavi, Zhangyang Wang
  ☆63Updated 3 years ago
• htdt / self-supervised
  Whitening for Self-Supervised Representation Learning | Official repository
  ☆129Updated 2 years ago
• cvl-umass / ssl-evaluation
  Evaluation of semi-supervised learning on challenging datasets
  ☆35Updated 3 years ago
• haochenglouis / cores
  Learning with Instance-Dependent Label Noise: A Sample Sieve Approach (ICLR2021)
  ☆33Updated 4 years ago
• Jingkang50 / ICCV21_SCOOD
  The Official Implementation of the ICCV-2021 Paper: Semantically Coherent Out-of-Distribution Detection.
  ☆70Updated 3 years ago
• deeplearning-wisc / multi-label-ood
  ☆44Updated 3 years ago
• hankook / SLA
  Self-supervised Label Augmentation via Input Transformations (ICML 2020)
  ☆104Updated 4 years ago
• dnap512 / SelfReg
  PyTorch implementation of Self-supervised Contrastive Regularization for DG (SelfReg) [ICCV2021]
  ☆77Updated 3 years ago
• KentoNishi / Augmentation-for-LNL
  [CVPR 2021] Code for "Augmentation Strategies for Learning with Noisy Labels".
  ☆112Updated 3 years ago
• VectorInstitute / gram-ood-detection
  ☆46Updated 4 years ago
• hankook / AugSelf
  ☆45Updated 3 years ago