Alternatives and similar repositories for JADA:

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

• BIT-DA / BCDM
  [AAAI 2021] Code release for "Bi-Classifier Determinacy Maximization for Unsupervised Domain Adaptation" https://arxiv.org/abs/2012.0699…
  ☆35Updated 4 years ago
• BIT-DA / DCAN
  [AAAI 2020] Code release for "Domain Conditioned Adaptation Network" https://arxiv.org/abs/2005.06717
  ☆34Updated 3 years ago
• tim-learn / BA3US
  code for our ECCV 2020 paper "A Balanced and Uncertainty-aware Approach for Partial Domain Adaptation"
  ☆40Updated last year
• BIT-DA / GDCAN
  [TPAMI 2021] Code release for "Generalized Domain Conditioned Adaptation Network" https://arxiv.org/abs/2103.12339
  ☆45Updated 2 years ago
• Jhyun17 / CoWA-JMDS
  ☆24Updated 2 years ago
• BIT-DA / SSAN
  [ACMMM 2020] Code release for "Simultaneous Semantic Alignment Network for Heterogenous Domain Adaptation" https://arxiv.org/abs/2008.01…
  ☆30Updated 3 years ago
• LeoXinhaoLee / Imbalanced-Source-free-Domain-Adaptation
  Code released for our ACM MM 2021 paper "Imbalanced Source-free Domain Adaptation".
  ☆21Updated 3 years ago
• thuml / Separate_to_Adapt
  Code release for Separate to Adapt: Open Set Domain Adaptation via Progressive Separation (CVPR 2019)
  ☆57Updated 5 years ago
• fang-zhen / Open-set-domain-adaptation
  Open set domain adaptation code DAOD
  ☆26Updated 3 years ago
• lijin118 / CGDM
  Codes for "Cross-Domain Gradient Discrepancy Minimization for Unsupervised Domain Adaptation" in CVPR 2021
  ☆67Updated 2 years ago
• BIT-DA / SCDA
  [ICCV 2021] Code release for "Semantic Concentration for Domain adaptation"
  ☆22Updated 3 years ago
• tasfia / DAMC
  Adversarial Network with Multiple Classifiers for Open Set Domain Adaptation
  ☆23Updated 4 years ago
• lileicv / PDEN
  ☆37Updated 3 years ago
• Learning-group123 / CAiDA
  Code for CAiDA
  ☆24Updated 2 years ago
• kkkkkkon / D-MCD
  code for Denoised_Maximum_Classifier_Discrepancy_for_Source-Free_Unsupervised_Domain_Adaptation
  ☆20Updated 2 years ago
• Luoyadan / SF-PGL
  This work is the official Pytorch implementation of our papers: Source-Free Progressive Graph Learning for Open-Set Domain Adaptation (T…
  ☆24Updated last year
• BIT-DA / EADA
  [AAAI 2022] Official Implementation of Active Learning for Domain Adaptation: An Energy-based Approach https://arxiv.org/abs/2112.01406
  ☆86Updated last year
• krumo / swd_pytorch
  An unofficial PyTorch implementation for CVPR 2019 work "Sliced Wasserstein Discrepancy for Unsupervised Domain Adaptation"
  ☆43Updated 5 years ago
• Albert0147 / BAIT_SFUDA
  Unsupervised Domain Adaptation without Source Data by Casting a BAIT
  ☆24Updated 2 years ago
• Albert0147 / NRC_SFDA
  Code for our NeurIPS 2021 paper 'Exploiting the Intrinsic Neighborhood Structure for Source-free Domain Adaptation'
  ☆76Updated 2 years ago
• astuti / ILA-DA
  ☆25Updated 3 years ago
• deep-real / UMGUD
  The Pytorch implementation for "Uncertainty-guided Model Generalization to Unseen Domains" (CVPR 2021)
  ☆22Updated 3 years ago
• PRIS-CV / Mutual-to-Separate
  Code release for Mind the Gap: Enlarging the Domain Gap in Open Set Domain Adaptation (TCSVT 2023)
  ☆20Updated last year
• YuanWu3 / Dual-Mixup-Regularized-Learning-for-Adversarial-Domain-Adaptation
  Implementation of "Dual Mixup Regularized Learning for Adversarial Domain Adaptation" in Pytorch
  ☆13Updated 4 years ago
• thuml / OpenDG-DAML
  Code release for Open Domain Generalization with Domain-Augmented Meta-Learning (CVPR2021)
  ☆36Updated 3 years ago
• youngryan1993 / SFDA-SourceFreeDA
  Published in IEEE Transactions on Artificial Intelligence
  ☆56Updated 3 years ago
• driptaRC / DECISION
  Unsupervised Multi-source Domain Adaptation Without Access to Source Data (CVPR '21 Oral)
  ☆57Updated 2 years ago
• Liuhong99 / CST
  Code release for "Cycle Self-Training for Domain Adaptation" (NeurIPS 2021)
  ☆53Updated 3 years ago
• liyunsheng13 / DRT
  ☆67Updated 2 years ago
• mousecpn / L2A-OT
  This repository is an unofficial implementation in PyTorch for Learning to Generate Novel Domains for Domain Generalization
  ☆21Updated 3 years ago