BriefGPT.xyz
Jan, 2022
跨领域图像分类的多表示自适应网络
Multi-Representation Adaptation Network for Cross-domain Image Classification
HTML
PDF
Yongchun Zhu, Fuzhen Zhuang, Jindong Wang, Jingwu Chen, Zhiping Shi...
TL;DR
该研究旨在解决图像分类中标签不足问题,通过多重表征适应模块和最大均值差异,提出了多重表征适应网络,能够通过跨域图像分类任务提高分类准确度。
Abstract
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 large amount of labeled data fr
→