Alternatives and similar repositories for BMD

Users that are interested in BMD are comparing it to the libraries listed below

• tim-learn / DINE
  code for our CVPR 2022 paper "DINE: Domain Adaptation from Single and Multiple Black-box Predictors"
  ☆82Updated last year
• Albert0147 / G-SFDA
  code for our ICCV 2021 paper 'Generalized Source-free Domain Adaptation'
  ☆107Updated 3 years ago
• ZyeZhang / DaC
  Code for Divide and Contrast: Source-free Domain Adaptation via Adaptive Contrastive Learning (NeurIPS 2022).
  ☆42Updated 3 years ago
• tsun / SSRT
  Safe Self-Refinement for Transformer-based Domain Adaptation (CVPR 2022)
  ☆42Updated 3 years ago
• ispc-lab / GLC
  [CVPR 2023] The official repository of our paper "Upcycling Models under Domain and Category Shift"
  ☆31Updated 9 months ago
• jxhuang0508 / HCL
  <Model Adaptation: Historical Contrastive Learning for Unsupervised Domain Adaptation without Source Data> in NIPS 2021
  ☆51Updated 3 years ago
• BIT-DA / RoTTA
  [CVPR 2023] Robust Test-Time Adaptation in Dynamic Scenarios. https://arxiv.org/abs/2303.13899
  ☆69Updated 2 years ago
• jmiemirza / DUA
  The Norm Must Go On: Dynamic Unsupervised Domain Adaptation by Normalization (CVPR 2022)
  ☆56Updated 3 years ago
• VisionLearningGroup / OVANet
  Repository for OVANet
  ☆85Updated 4 years ago
• ygjwd12345 / TransDA
  Official pytorch implement for “Transformer-Based Source-Free Domain Adaptation”
  ☆71Updated 3 years ago
• Albert0147 / NRC_SFDA
  Code for our NeurIPS 2021 paper 'Exploiting the Intrinsic Neighborhood Structure for Source-free Domain Adaptation'
  ☆80Updated 3 years ago
• TL-UESTC / DAMP
  The Pytorch implementation of Domain-Agnostic Mutual Prompting for Unsupervised Domain Adaptation
  ☆37Updated last year
• DianCh / AdaContrast
  Official repository of CVPR '22 paper "Contrastive Test-Time Adaptation"
  ☆106Updated 3 years ago
• zhyx12 / CRCo
  ☆35Updated 2 years ago
• koncle / DomainAdaptor
  ☆45Updated 2 years ago
• Hongbin98 / ProCA
  This repository provides the official implementation for Prototype-Guided Continual Adaptation for Class-Incremental Unsupervised Domain …
  ☆34Updated 3 years ago
• Liuhong99 / CST
  Code release for "Cycle Self-Training for Domain Adaptation" (NeurIPS 2021)
  ☆53Updated 4 years ago
• jxhuang0508 / FSDR
  FSDR: Frequency Space Domain Randomization for Domain Generalization
  ☆41Updated 4 years ago
• MattiaLitrico / Guiding-Pseudo-labels-with-Uncertainty-Estimation-for-Source-free-Unsupervised-Domain-Adaptation
  Code for "Guiding-Pseudo-labels-with-Uncertainty-Estimation-for-Source-free-Unsupervised-Domain-Adaptation" (CVPR 2023)
  ☆103Updated last month
• muse1998 / Source-Free-Domain-Generalization
  An open-world scenario domain generalization code base
  ☆27Updated 2 years ago
• CityU-AIM-Group / SimT
  [CVPR22'] SimT: Handling Open-set Noise for Domain Adaptive Semantic Segmentation
  ☆23Updated 2 years ago
• huangjk97 / T2T
  Code for the paper: "Trash to Treasure: Harvesting OOD Data with Cross-Modal Matching for Open-Set Semi-Supervised Learning"
  ☆25Updated 4 years ago
• SCUT-AILab / CPGA
  ☆49Updated 2 years ago
• fiveai / LAME
  This code accompanies the paper "Parameter-free Online Test-time Adaptation".
  ☆77Updated 3 years ago
• HeliosZhao / SHADE-VisualDG
  Style-Hallucinated Dual Consistency Learning: A Unified Framework for Visual Domain Generalization
  ☆22Updated 3 years ago
• Albert0147 / AaD_SFDA
  Code for our NeurIPS 2022 (spotlight) paper 'Attracting and Dispersing: A Simple Approach for Source-free Domain Adaptation'
  ☆73Updated last year
• lileicv / PDEN
  ☆39Updated 4 years ago
• nayeemrizve / TRSSL
  "Towards Realistic Semi-Supervised Learning" by Mamshad Nayeem Rizve, Navid Kardan, Mubarak Shah (ECCV 2022)
  ☆41Updated 2 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
• BIT-DA / BCDM
  [AAAI 2021] Code release for "Bi-Classifier Determinacy Maximization for Unsupervised Domain Adaptation" https://arxiv.org/abs/2012.0699…
  ☆36Updated 5 years ago