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Clothes Co-Parsing Via Joint Image Segmentation and Labeling With Application to Clothing Retrieval
2016
IEEE transactions on multimedia
This paper aims at developing an integrated system for clothing co-parsing (CCP), in order to jointly parse a set of clothing images (unsegmented but annotated with tags) into semantic configurations. A novel data-driven system consisting of two phases of inference is proposed. The first phase, referred as "image cosegmentation," iterates to extract consistent regions on images and jointly refines the regions over all images by employing the exemplar-SVM technique [1]. In the second phase
doi:10.1109/tmm.2016.2542983
fatcat:jhgwjoiohvfxxkdl3p7xpktzni