Alternatives and similar repositories for CST

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

• korawat-tanwisuth / Proto_DA
  ☆46Updated 3 years ago
• Albert0147 / OneRing_SF-OPDA
  Code for 'OneRing: A Simple Method for Source-free Open-partial Domain Adaptation'
  ☆34Updated 2 years ago
• DianCh / AdaContrast
  Official repository of CVPR '22 paper "Contrastive Test-Time Adaptation"
  ☆102Updated 3 years ago
• Albert0147 / NRC_SFDA
  Code for our NeurIPS 2021 paper 'Exploiting the Intrinsic Neighborhood Structure for Source-free Domain Adaptation'
  ☆77Updated 2 years ago
• VisionLearningGroup / OP_Match
  ☆58Updated 2 years ago
• BIT-DA / EADA
  [AAAI 2022] Official Implementation of Active Learning for Domain Adaptation: An Energy-based Approach https://arxiv.org/abs/2112.01406
  ☆88Updated last year
• Learning-group123 / CAiDA
  Code for CAiDA
  ☆24Updated 3 years ago
• LeoXinhaoLee / AMS
  Code released for our ECCV 2022 paper "Interpretable Open-Set Domain Adaptation via Angular Margin Separation".
  ☆20Updated 2 years ago
• tim-learn / SHOT-plus
  code for our TPAMI 2021 paper "Source Data-absent Unsupervised Domain Adaptation through Hypothesis Transfer and Labeling Transfer"
  ☆119Updated 2 years ago
• Albert0147 / G-SFDA
  code for our ICCV 2021 paper 'Generalized Source-free Domain Adaptation'
  ☆105Updated 3 years ago
• val-iisc / SDAT
  [ICML 2022]Source code for "A Closer Look at Smoothness in Domain Adversarial Training",
  ☆69Updated last year
• hamanhbui / mDSDI
  Exploiting Domain-Specific Features to Enhance Domain Generalization (NeurIPS 2021).
  ☆28Updated 3 years ago
• nukezil / IOMatch
  [ICCV 2023 Oral] IOMatch: Simplifying Open-Set Semi-Supervised Learning with Joint Inliers and Outliers Utilization
  ☆48Updated last year
• ZyeZhang / DaC
  Code for Divide and Contrast: Source-free Domain Adaptation via Adaptive Contrastive Learning (NeurIPS 2022).
  ☆42Updated 2 years ago
• Albert0147 / AaD_SFDA
  Code for our NeurIPS 2022 (spotlight) paper 'Attracting and Dispersing: A Simple Approach for Source-free Domain Adaptation'
  ☆72Updated 6 months ago
• tim-learn / DINE
  code for our CVPR 2022 paper "DINE: Domain Adaptation from Single and Multiple Black-box Predictors"
  ☆80Updated last year
• LeoXinhaoLee / Imbalanced-Source-free-Domain-Adaptation
  Code released for our ACM MM 2021 paper "Imbalanced Source-free Domain Adaptation".
  ☆21Updated 3 years ago
• koncle / DomainAdaptor
  ☆44Updated last year
• tim-learn / ATDOC
  code released for our CVPR 2021 paper "Domain Adaptation with Auxiliary Target Domain-Oriented Classifier"
  ☆58Updated 2 years ago
• tsun / SSRT
  Safe Self-Refinement for Transformer-based Domain Adaptation (CVPR 2022)
  ☆40Updated 2 years ago
• Jhyun17 / CoWA-JMDS
  ☆24Updated 2 years ago
• yfzhang114 / Environment-Label-Smoothing
  This is an official PyTorch implementation of the ICLR 2023 paper 《Free Lunch for Domain Adversarial Training: Environment Label Smoothin…
  ☆59Updated 2 years ago
• lileicv / PDEN
  ☆37Updated 4 years ago
• jxhuang0508 / HCL
  <Model Adaptation: Historical Contrastive Learning for Unsupervised Domain Adaptation without Source Data> in NIPS 2021
  ☆50Updated 2 years ago
• nayeemrizve / TRSSL
  "Towards Realistic Semi-Supervised Learning" by Mamshad Nayeem Rizve, Navid Kardan, Mubarak Shah (ECCV 2022)
  ☆41Updated 2 years ago
• ytaek-oh / daso
  Repository for the paper `DASO: Distribution-Aware Semantics-Oriented Pseudo-label Imbalanced Semi-Supervised Learning'.
  ☆71Updated 3 years ago
• silvia1993 / ROS
  Rotation-based Open Set
  ☆41Updated 2 years ago
• leokarlin / BrAD
  ☆27Updated 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…
  ☆25Updated last year
• VisionLearningGroup / Benchmark_Domain_Transfer
  ☆18Updated 2 years ago