unsupervised-domain-adaptation

There are 101 repositories under unsupervised-domain-adaptation topic.

  • thuml/Transfer-Learning-Library

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

    Language:Python3.5k49206562

  • lhoyer/DAFormer

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

    Language:Python47348992

  • yxgeee/MMT

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

    Language:Python473104372

  • open-mmlab/OpenUnReID

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

    Language:Python397134667

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

    pytorch implementation for Contrastive Adaptation Network

    Language:Python32861958

  • lhoyer/HRDA

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

    Language:Python23844532

  • emadeldeen24/AdaTime

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

    Language:Python1883821

  • chengchunhsu/EveryPixelMatters

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

    Language:Python16582221

  • visinf/da-sac

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

    Language:Python14851435

  • xiangjjj/implicit_alignment

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

    Language:Python906810

  • xmed-lab/GenericSSL

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

    Language:Python882115

  • hikvision-research/ProbabilisticTeacher

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

    Language:Python8051111

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

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

    Language:Python65526

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

    Deep learning research implemented on notebooks using PyTorch.

    Language:Jupyter Notebook634021

  • fpv-iplab/DA-RetinaNet

    Official Detectron2 implementation of DA-RetinaNet of our Image and Vision Computing 2021 work 'An unsupervised domain adaptation scheme for single-stage artwork recognition in cultural sites'

    Language:Python626710

  • hellowangqian/domain-adaptation-capls

    Unsupervised Domain Adaptation via Structured Prediction Based Selective Pseudo-Labeling

    Language:MATLAB562412

  • justinkay/aldi

    Official implementation of "Align and Distill: Unifying and Improving Domain Adaptive Object Detection"

    Language:Python545377

  • GiovanniPasq/DA-Faster-RCNN

    Detectron2 implementation of DA-Faster R-CNN, Domain Adaptive Faster R-CNN for Object Detection in the Wild

    Language:Python5341810

  • 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:Python525218

  • BaiShuanghao/Prompt-based-Distribution-Alignment

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

    Language:Python50183

  • darrenjkt/SEE-MTDA

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

    Language:Python48248

  • 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:Python48109

  • Kaiseem/DAR-UNet

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

    Language:Python432235

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

    Code for paper "Object landmark discovery through unsupervised adaptation"

    Language:Python35455

  • shayangharib/AUDASC

    Adversarial Unsupervised Domain Adaptation for Acoustic Scene Classification

    Language:Python35329

  • 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:Python30428

  • 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:Python29130

  • 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:Python292141

  • 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:Python28542

  • fpv-iplab/STMDA-RetinaNet

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

    Language:Python27408

  • jacobzhaoziyuan/MT-UDA

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

    Language:Python271612

  • scheckmedia/centernet-uda

    This repository holds a small framework to evaluate unsupervised domain adaptation methods in combination with a CenterNet object detection network.

    Language:Python27265

  • ShishuaiHu/DoCR

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

    Language:Python27102

  • shafieelab/Medical-Domain-Adaptive-Neural-Networks

    Adaptive Adversarial Neural Networks for Lossy and Domain-Shifted Medical Image Analysis.

    Language:Python26213

  • zysymu/AdaMatch-pytorch

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

    Language:Python26123