Cross-domain attribute representation based on convolutional neural network

no code implementations • 17 May 2018 • Guohui Zhang, Gaoyuan Liang, Fang Su, Fanxin Qu, Jing-Yan Wang

We proposed to embed the attributes of dif-ferent domains by a shared convolutional neural network (CNN), learn a domain-independent CNN model to represent the information shared by dif-ferent domains by matching across domains, and a domain-specific CNN model to represent the information of each domain.

Attribute Transfer Learning

A novel image tag completion method based on convolutional neural network

no code implementations • 2 Mar 2017 • Yanyan Geng, Guohui Zhang, Weizhi Li, Yi Gu, Ru-Ze Liang, Gaoyuan Liang, Jingbin Wang, Yanbin Wu, Nitin Patil, Jing-Yan Wang

In this paper, we study the problem of image tag complete and proposed a novel method for this problem based on a popular image representation method, convolutional neural network (CNN).

Image Retrieval Retrieval +1

Learning convolutional neural network to maximize Pos@Top performance measure

no code implementations • 27 Sep 2016 • Yanyan Geng, Ru-Ze Liang, Weizhi Li, Jingbin Wang, Gaoyuan Liang, Chenhao Xu, Jing-Yan Wang

The CNN model is used to represent the multi-instance data point, and a classifier function is used to predict the label from the its CNN representation.

BIG-bench Machine Learning POS