Unsupervised Domain Expansion
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Benchmarks
UDE-DomainNet
결과 1개
UDE-Office-Home
결과 1개
Most implemented
Unsupervised Domain Expansion for Visual Categorization
2021-04-01 · 구현 2개
Co-Teaching for Unsupervised Domain Adaptation and Expansion
2022-04-04 · 구현 1개
Papers
Co-Teaching for Unsupervised Domain Adaptation and Expansion
2022-04-04
· Kaibin Tian, Qijie Wei, Xirong Li
Unsupervised Domain Adaptation (UDA) essentially trades a model's performance on a source domain for improving its performance on a target domain. To resolve the issue, Unsupervised Domain Expansion (UDE) has been propos…
Domain Adaptationimage-classificationImage ClassificationKnowledge Distillation+3Unsupervised Domain Expansion for Visual Categorization
2021-04-01
· Jie Wang, Kaibin Tian, Dayong Ding, Gang Yang 외
Expanding visual categorization into a novel domain without the need of extra annotation has been a long-term interest for multimedia intelligence. Previously, this challenge has been approached by unsupervised domain ad…
Domain AdaptationKnowledge DistillationUnsupervised Domain AdaptationUnsupervised Domain ExpansionUnsupervised Domain Expansion from Multiple Sources
2020-05-26
· Jing Zhang, Wanqing Li, Lu Sheng, Chang Tang 외
Given an existing system learned from previous source domains, it is desirable to adapt the system to new domains without accessing and forgetting all the previous domains in some applications. This problem is known as d…
Domain AdaptationUnsupervised Domain Expansion