Transporting causal mechanisms for unsupervised domain adaptation

Existing Unsupervised Domain Adaptation (UDA) literature adopts the covariate shift and conditional shift assumptions, which essentially encourage models to learn common features across domains. However, due to the lack of supervision in the target domain, they suffer from the semantic loss: the fea...

Full description

Saved in:
Bibliographic Details
Main Authors: YUE, Zhongqi, SUN, Qianru, HUA, Xian-Sheng, ZHANG, Hanwang
Format: text
Language:English
Published: Institutional Knowledge at Singapore Management University 2021
Subjects:
Online Access:https://ink.library.smu.edu.sg/sis_research/6229
https://ink.library.smu.edu.sg/context/sis_research/article/7232/viewcontent/ICCV_transport_causal_mechanisms_uda__2_.pdf
Tags: Add Tag
No Tags, Be the first to tag this record!
Institution: Singapore Management University
Language: English