ILGNet: inception modules with connected local and global features for efficient image aesthetic quality classification using domain adaptation

IET Computer Vision, pp. 206-212, 2019.

Cited by: 14|Views64


In this study, the authors 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 combines both the inception modul...More



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