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Conference Paper Apparel Area Detection and Classification System
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Authors
Jong Gook Ko, Da-Un Jung, Seungjae Lee
Issue Date
2018-02
Citation
International Workshop on Frontiers of Computer Vision (IW-FCV) 2018, pp.1-2
Language
English
Type
Conference Paper
Abstract
recently the requirements for apparel browsing are increasing, and the technology for fashion recommendation services is also under way. Deep learning-based methods are widely used for such apparel retrieval services. In this paper, we describe a system for detecting the top, bottom, and full clothes area in an image using the deep learning technique and classifying the apparel attribute value for the detected area.
KSP Keywords
Attribute value, Classification system, Fashion recommendation, deep learning(DL), detection and classification, learning-based method