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Multi-Representation Adaptation Network for Cross-domain Image Classification
Yongchun Zhu, Fuzhen Zhuang, Jindong Wang +4
In image classification, it is often expensive and time-consuming to acquire sufficient labels. To solve this problem, domain adaptation often provides an attractive option given a…
Deep Subdomain Adaptation Network for Image Classification
Yongchun Zhu, Fuzhen Zhuang, Jindong Wang +5
For a target task where labeled data is unavailable, domain adaptation can transfer a learner from a different source domain. Previous deep domain adaptation methods mainly learn a…
The Automatic Identification of Butterfly Species
Juanying Xie, Qi Hou, Yinghuan Shi +6
The available butterfly data sets comprise a few limited species, and the images in the data sets are always standard patterns without the images of butterflies in their living env…