There are 2 repositories under unsupervised-domain-adaptation topic.
Transfer Learning Library for Domain Adaptation, Task Adaptation, and Domain Generalization
[ICLR-2020] Mutual Mean-Teaching: Pseudo Label Refinery for Unsupervised Domain Adaptation on Person Re-identification.
PyTorch open-source toolbox for unsupervised or domain adaptive object re-ID.
pytorch implementation for Contrastive Adaptation Network
[CVPR22] Official Implementation of DAFormer: Improving Network Architectures and Training Strategies for Domain-Adaptive Semantic Segmentation
Implementation of ECCV 2020 paper "Every Pixel Matters: Center-aware Feature Alignment for Domain Adaptive Object Detector"
Self-supervised Augmentation Consistency for Adapting Semantic Segmentation (CVPR 2021)
Code for ICML2020 "Implicit Class-Conditioned Domain Alignment for Unsupervised Domain Adaptation"
Deep learning research implemented on notebooks using PyTorch.
Cross-Domain Car Detection Using Unsupervised Image-to-Image Translation: From Day to Night
Unsupervised Domain Adaptation via Structured Prediction Based Selective Pseudo-Labeling
Official Implementation of HRDA: Context-Aware High-Resolution Domain-Adaptive Semantic Segmentation
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).
Adversarial Unsupervised Domain Adaptation for Acoustic Scene Classification
Code for paper "Object landmark discovery through unsupervised adaptation"
Code for NAACL 2019 paper: Adversarial Category Alignment Network for Cross-domain Sentiment Classification
Official implementation of AdaTime: A Benchmarking Suite for Domain Adaptation on Time Series Data
Adaptive Adversarial Neural Networks for Lossy and Domain-Shifted Medical Image Analysis.
This repository holds a small framework to evaluate unsupervised domain adaptation methods in combination with a CenterNet object detection network.
Attending to Discriminative Certainty for Domain Adaptation
Unsupervised Domain Adaptive Salient Object Detection Through Uncertainty-Aware Pseudo-Label Learning, AAAI Conference on Artificial Intelligence (AAAI), 2022
[TIP 2022] Pytorch implementation of "Attentive WaveBlock: Complementarity-enhanced Mutual Networks for Unsupervised Domain Adaptation in Person Re-identification and Beyond"
A PyTorch implementation of AdaMatch: A Unified Approach to Semi-Supervised Learning and Domain Adaptation
Unsupervised Domain Adaptation for Acoustic Scene Classification with Wasserstein Distance
Classifying Forged vs Authentic using Domain Adaptation across in new domains in unsupervised settings
Includes additional materials for the following keras.io blog post.
[MICCAI 2021] Official Implementation for "MT-UDA: Towards Unsupervised Cross-modality Medical Image Segmentation with Limited Source Labels"
T2NER: Transformers based Transfer Learning Framework for NER (EACL 2021)
Pytorch implementation for "Dynamic Instance Domain Adaptation" (DIDA-Net).
The official repository of our paper "BMD: A General Class-balanced Multicentric Dynamic Prototype Strategy for Source-free Domain Adaptation"
Human Activity Recognition With Python
Code for L2ID CVPRW 2021 paper Improving Semi-Supervised Domain Adaptation Using Effective Target Selection and Semantics
Unofficial implementation of "AdaMatch: A Unified Approach to Semi-Supervised Learning and Domain Adaptation"
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