Clothing Style Recognition using Fashion Attribute Detection


In this paper, a new framework is proposed for clothing style recognition in natural scenes. Clothing region is first detected through the fusion of super-pixel segmentation, saliency detection and Gaussian Mixture Model (GMM). Next, a group of fashion attribute detectors are trained to get the likelihood of each attribute in the clothing image. Finally… (More)
DOI: 10.4108/icst.mobimedia.2015.259089


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