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

2 citations · 2 across the 1 of their papers we have counts for

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1 paper

cs.CV2016★ 2 cited

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

Xin Jin, Le Wu, Xiaodong Li +6

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 glo…