Multi-Source Unsupervised Domain Adaptation

22 papers with code • 9 benchmarks • 5 datasets

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Benchmarks

Add a Result

These leaderboards are used to track progress in Multi-Source Unsupervised Domain Adaptation

Dataset	Best Model	Compare
Office-Caltech10	STEM	See all
Digits-five	MOST	See all
Office-31	FACT	See all
Tennessee Eastman Process	DaDiL-R	See all
DomainNet	STEM	See all
MiniDomainNet	CMSDA	See all
Office-Home	CMSDA	See all
Sim10k and Kitti to Cityscapes	ViSGA	See all
GTZAN	WBT	See all

Libraries

Use these libraries to find Multi-Source Unsupervised Domain Adaptation models and implementations

kevinmusgrave/pytorch-adapt

3 papers

324

thuml/Transfer-Learning-Library

2 papers

3,155

CtrlZ1/Domain-Adaptation-Algorithms

2 papers

Datasets

Most implemented papers

Most implemented Social Latest No code

Multi-Source Domain Adaptation for Object Detection with Prototype-based Mean-teacher

imatif17/Prototype-Mean-Teacher • • 26 Sep 2023

Given the use of prototypes, the number of parameters required for our PMT method does not increase significantly with the number of source domains, thus reducing memory issues and possible overfitting.

Paper
Code

A Weight-aware-based Multi-source Unsupervised Domain Adaptation Method for Human Motion Intention Recognition

xiaoyinliu0714/WMDD • • 19 Apr 2024

The developed multi-source UDA theory is theoretical and the generalization error on target subject is guaranteed.