Alternatives and similar repositories for 2021_ICCV_Me-Momentum

Users that are interested in 2021_ICCV_Me-Momentum are comparing it to the libraries listed below

• xiaoboxia / CDR
  ICLR‘2021: Robust Early-learning: Hindering the Memorization of Noisy Labels
  ☆78Updated 4 years ago
• JoyHuYY1412 / DDE_CIL
  ☆59Updated 3 years ago
• DiegoOrtego / LabelNoiseMOIT
  Official implementation for: "Multi-Objective Interpolation Training for Robustness to Label Noise"
  ☆41Updated 3 years ago
• pxiangwu / PLC
  ICLR 2021, "Learning with feature-dependent label noise: a progressive approach"
  ☆45Updated 3 years ago
• deeplearning-wisc / react
  Code for NeurIPS 2021 paper "ReAct: Out-of-distribution Detection With Rectified Activations"
  ☆55Updated 3 years ago
• BIGKnight / Energy-Based-Open-World-Uncertainty-Modeling-for-Confidence-Calibration
  the code for paper "Energy-Based Open-World Uncertainty Modeling for Confidence Calibration"
  ☆41Updated 4 years ago
• abdullahjamal / Longtail_DA
  [CVPR 2020] Rethinking Class-Balanced Methods for Long-Tailed Visual Recognition from a Domain Adaptation Perspective
  ☆24Updated 5 years ago
• takashiishida / comp
  [NeurIPS 2017] [ICML 2019] Code for complementary-label learning
  ☆50Updated 4 months ago
• lijichang / LNL-NCE
  A pytorch implementation for "Neighborhood Collective Estimation for Noisy Label Identification and Correction", which is accepted by ECC…
  ☆26Updated 2 years ago
• VisionLearningGroup / OP_Match
  ☆61Updated 2 years ago
• salesforce / CoMatch
  Code for CoMatch: Semi-supervised Learning with Contrastive Graph Regularization
  ☆129Updated 8 months ago
• lucasmansilla / DGvGS
  Domain Generalization via Gradient Surgery
  ☆50Updated 3 years ago
• dvirsamuel / DRO-LT
  Code for our paper: Samuel and Chechik, "Distributional Robustness Loss for Long-tail Learning"
  ☆32Updated 4 years ago
• vita-epfl / ttt-plus-plus
  [NeurIPS] TTT++: When Does Self-supervised Test-time Training Fail or Thrive?
  ☆72Updated 3 years ago
• tim-learn / BA3US
  code for our ECCV 2020 paper "A Balanced and Uncertainty-aware Approach for Partial Domain Adaptation"
  ☆42Updated 2 years ago
• VisionLearningGroup / OVANet
  Repository for OVANet
  ☆85Updated 4 years ago
• YU1ut / Multi-Task-Curriculum-Framework-for-Open-Set-SSL
  Code for "Multi-Task Curriculum Framework for Open-Set Semi-Supervised Learning"
  ☆25Updated 5 years ago
• zaeemzadeh / OOD
  CVPR2021: Out-of-Distribution Detection Using Union of 1-Dimensional Subspaces
  ☆22Updated 4 years ago
• Gorilla-Lab-SCUT / SRDC-CVPR2020
  Code release for Unsupervised Domain Adaptation via Structurally Regularized Deep Clustering (CVPR2020-Oral).
  ☆83Updated 3 years ago
• Albert0147 / G-SFDA
  code for our ICCV 2021 paper 'Generalized Source-free Domain Adaptation'
  ☆107Updated 3 years ago
• Haoqing-Wang / CPNWCP
  [ECCV 2022] Contrastive Prototypical Network with Wasserstein Confidence Penalty
  ☆11Updated 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
• thuml / Batch-Spectral-Shrinkage
  Code release for Catastrophic Forgetting Meets Negative Transfer: Batch Spectral Shrinkage for Safe Transfer Learning (NeurIPS 2019)
  ☆24Updated 4 years ago
• tim-learn / ATDOC
  code released for our CVPR 2021 paper "Domain Adaptation with Auxiliary Target Domain-Oriented Classifier"
  ☆59Updated 2 years ago
• EricZsy / BalancedKnowledgeDistillation
  Code for "Balanced Knowledge Distillation for Long-tailed Learning"
  ☆29Updated 2 years ago
• YU1ut / JointOptimization
  Code for 'Joint Optimization Framework for Learning with Noisy Labels'
  ☆39Updated 7 years ago
• TKKim93 / APE
  [ECCV 2020] Attract, Perturb, and Explore: Learning a Feature Alignment Network for Semi-supervised Domain Adaptation
  ☆30Updated 5 years ago
• fiveai / LAME
  This code accompanies the paper "Parameter-free Online Test-time Adaptation".
  ☆77Updated 3 years ago
• BUserName / PGL
  ☆33Updated 2 years ago
• ShikunLi / Sel-CL
  CVPR 2022: Selective-Supervised Contrastive Learning with Noisy Labels
  ☆95Updated 3 years ago