Search Results for author: Hyejin Oh

Found 1 papers, 0 papers with code

Deep Unsupervised Domain Adaptation: A Review of Recent Advances and Perspectives

no code implementations15 Aug 2022 Xiaofeng Liu, Chaehwa Yoo, Fangxu Xing, Hyejin Oh, Georges El Fakhri, Je-Won Kang, Jonghye Woo

Unsupervised domain adaptation (UDA) is proposed to counter this, by leveraging both labeled source domain data and unlabeled target domain data to carry out various tasks in the target domain.

Domain Generalization Out-of-Distribution Detection +3

Cannot find the paper you are looking for? You can Submit a new open access paper.