Transporting causal mechanisms for unsupervised domain adaptation

• Main Authors: YUE, Zhongqi, SUN, Qianru, HUA, Xian-Sheng, ZHANG, Hanwang
• Format: text
• Language: English
• Published: Institutional Knowledge at Singapore Management University 2021
• Subjects: Graphics and Human Computer Interfaces
• 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
• Institution: Singapore Management University

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...