ILGNet: Inception Modules with Connected Local and Global Features for Efficient Image Aesthetic Quality Classification using Domain Adaptation

In this paper, we address a challenging problem of aesthetic image classification, which is to label an input image as high or low aesthetic quality. We take both the local and global features of images into consideration. A novel deep convolutional neural network named ILGNet is proposed, which com...

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Veröffentlicht in:	arXiv.org 2018-04
Hauptverfasser:	Jin, Xin, Wu, Le, Li, Xiaodong, Zhang, Xiaokun, Chi, Jingying, Peng, Siwei, Ge, Shiming, Zhao, Geng, Li, Shuying
Format:	Artikel
Sprache:	eng
Schlagworte:	Adaptation Artificial neural networks Image classification Image quality Modules Neural networks
Online-Zugang:	Volltext
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