Unpaired, unsupervised domain adaptation assumes your domains are already similar

Author:

van Tulder GijsORCID,de Bruijne MarleenORCID

Funder

Nederlandse Organisatie voor Wetenschappelijk Onderzoek

Publisher

Elsevier BV

Subject

Computer Graphics and Computer-Aided Design,Health Informatics,Computer Vision and Pattern Recognition,Radiology, Nuclear Medicine and imaging,Radiological and Ultrasound Technology

Reference56 articles.

1. Unsupervised domain adaptation with optimal transport in multi-site segmentation of multiple sclerosis lesions from MRI data;Ackaouy;Front. Comput. Neurosci.,2020

2. OLVA: Optimal latent vector alignment for unsupervised domain adaptation in medical image segmentation;Al Chanti,2021

3. Constrained domain adaptation for image segmentation;Bateson;IEEE Trans. Med. Imaging,2021

4. Source-Relaxed Domain Adaptation for image segmentation;Bateson,2020

5. A theory of learning from different domains;Ben-David S. Blitzer;Mach. Learn.,2010

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1. AnyStar: Domain randomized universal star-convex 3D instance segmentation;2024 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV);2024-01-03

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