unsupervised-domain-adaptation

There are 111 repositories under unsupervised-domain-adaptation topic.

  • thuml/Transfer-Learning-Library

    Transfer Learning Library for Domain Adaptation, Task Adaptation, and Domain Generalization

    Language:Python3.8k48210577

  • sstary/SSRS

    Semantic Segmentation for Remote Sensing

    Language:Python62269647

  • lhoyer/DAFormer

    [CVPR22] Official Implementation of DAFormer: Improving Network Architectures and Training Strategies for Domain-Adaptive Semantic Segmentation

    Language:Python53039190

  • yxgeee/MMT

    [ICLR-2020] Mutual Mean-Teaching: Pseudo Label Refinery for Unsupervised Domain Adaptation on Person Re-identification.

    Language:Python47984371

  • open-mmlab/OpenUnReID

    PyTorch open-source toolbox for unsupervised or domain adaptive object re-ID.

    Language:Python410124668

  • kgl-prml/Contrastive-Adaptation-Network-for-Unsupervised-Domain-Adaptation

    pytorch implementation for Contrastive Adaptation Network

    Language:Python34062059

  • lhoyer/HRDA

    [ECCV22] Official Implementation of HRDA: Context-Aware High-Resolution Domain-Adaptive Semantic Segmentation

    Language:Python25734534

  • emadeldeen24/AdaTime

    [TKDD 2023] AdaTime: A Benchmarking Suite for Domain Adaptation on Time Series Data

    Language:Python2152924

  • chengchunhsu/EveryPixelMatters

    Implementation of ECCV 2020 paper "Every Pixel Matters: Center-aware Feature Alignment for Domain Adaptive Object Detector"

    Language:Python16862221

  • visinf/da-sac

    Self-supervised Augmentation Consistency for Adapting Semantic Segmentation (CVPR 2021)

    Language:Python15041435

  • xmed-lab/GenericSSL

    NeurIPS 2023: Towards Generic Semi-Supervised Framework for Volumetric Medical Image Segmentation

    Language:Python1052155

  • xiangjjj/implicit_alignment

    Code for ICML2020 "Implicit Class-Conditioned Domain Alignment for Unsupervised Domain Adaptation"

    Language:Python915810

  • hikvision-research/ProbabilisticTeacher

    An official implementation of ICML 2022 paper "Learning Domain Adaptive Object Detection with Probabilistic Teacher"."

    Language:Python8351111

  • BaiShuanghao/Prompt-based-Distribution-Alignment

    [AAAI 2024] Prompt-based Distribution Alignment for Unsupervised Domain Adaptation

    Language:Python731123

  • LCAD-UFES/publications-arruda-ijcnn-2019

    Cross-Domain Car Detection Using Unsupervised Image-to-Image Translation: From Day to Night

    Language:Python70426

  • justinkay/aldi

    Official implementation of "Align and Distill: Unifying and Improving Domain Adaptive Object Detection" (TMLR 2025)

    Language:Python694519

  • fpv-iplab/DA-RetinaNet

    Official Detectron2 implementation of DA-RetinaNet, An unsupervised domain adaptation scheme for single-stage artwork recognition in cultural sites, Image and Vision Computing (IMAVIS) 2021

    Language:Python654710

  • theairbend3r/how-to-train-your-neural-net

    Deep learning research implemented on notebooks using PyTorch.

    Language:Jupyter Notebook643021

  • hellowangqian/domain-adaptation-capls

    Unsupervised Domain Adaptation via Structured Prediction Based Selective Pseudo-Labeling

    Language:MATLAB602412

  • GiovanniPasq/DA-Faster-RCNN

    Detectron2 implementation of DA-Faster R-CNN, Domain Adaptive Faster R-CNN for Object Detection in the Wild, Computer Vision and Pattern Recognition (CVPR) 2018

    Language:Python5931910

  • rkobler/TSMNet

    Code and reuslts accompanying the NeurIPS 2022 paper with the title SPD domain-specific batch normalization to crack interpretable unsupervised domain adaptation in EEG

    Language:Python58209

  • DenisDsh/PyTorch-Deep-CORAL

    This is a PyTorch implementation of the Unsupervised Domain Adaptation method proposed in the paper Deep CORAL: Correlation Alignment for Deep Domain Adaptation. Baochen Sun and Kate Saenko (ECCV 2016).

    Language:Python554219

  • darrenjkt/SEE-MTDA

    (RA-L 2022) See Eye to Eye: A Lidar-Agnostic 3D Detection Framework for Unsupervised Multi-Target Domain Adaptation.

    Language:Python51248

  • Kaiseem/DAR-UNet

    [JBHI2022] A novel 3D unsupervised domain adaptation framework for cross-modality medical image segmentation

    Language:Python491236

  • ESanchezLozano/SAIC-Unsupervised-landmark-detection-NeurIPS2019

    Code for paper "Object landmark discovery through unsupervised adaptation"

    Language:Python38355

  • shayangharib/AUDASC

    Adversarial Unsupervised Domain Adaptation for Acoustic Scene Classification

    Language:Python37329

  • ispc-lab/BMD

    [ECCV 2022] The official repository of our paper "BMD: A General Class-balanced Multicentric Dynamic Prototype Strategy for Source-free Domain Adaptation"

    Language:Python32130

  • jacobzhaoziyuan/MT-UDA

    [MICCAI 2021] Official Implementation for "MT-UDA: Towards Unsupervised Cross-modality Medical Image Segmentation with Limited Source Labels"

    Language:Python321612

  • TFboys-lzz/MPSCL

    This repository contains code for the paper "Margin Preserving Self-paced Contrastive Learning Towards Domain Adaptation for Medical Image Segmentation", published at IEEE JBHI 2022

    Language:Python321141

  • fpv-iplab/STMDA-RetinaNet

    Official Detectron2 implementation of STMDA-RetinaNet, A Multi Camera Unsupervised Domain Adaptation Pipeline for Object Detection in Cultural Sites through Adversarial Learning and Self-Training, Computer Vision and Image Understanding (CVIU) 2022

    Language:Python30209

  • WangWenhao0716/Attentive-WaveBlock

    [TIP 2022] Pytorch implementation of "Attentive WaveBlock: Complementarity-enhanced Mutual Networks for Unsupervised Domain Adaptation in Person Re-identification and Beyond"

    Language:Python30328

  • ShishuaiHu/DoCR

    Code for [MICCAI 2022] Domain Specific Convolution and High Frequency Reconstruction based Unsupervised Domain Adaptation for Medical Image Segmentation.

    Language:Python29102

  • Kinpzz/UDASOD-UPL

    Unsupervised Domain Adaptive Salient Object Detection Through Uncertainty-Aware Pseudo-Label Learning, AAAI Conference on Artificial Intelligence (AAAI), 2022

    Language:Python28117
  • OnDA

    theo2021/OnDA

    Source code for "Online Unsupervised Domain Adaptation for Semantic Segmentation in Ever-Changing Conditions", ECCV 2022. This is the code has been implemented to perform training and evaluation of UDA approaches in continuous scenarios. The library has been implemented in PyTorch 1.7.1. Some newer versions should work as well.

    Language:Python28441

  • user0407/CLUDA

    Implementation of CLUDA: Contrastive learning in Unsupervised Domian Adaptation in Semantic Segmentation

    Language:Python28163

  • zysymu/AdaMatch-pytorch

    A PyTorch implementation of AdaMatch: A Unified Approach to Semi-Supervised Learning and Domain Adaptation

    Language:Python27123