Fully Convolutional Network with Superpixel Parsing for Fashion Web Image Segmentation
作者： Lixuan Yang , Helena Rodriguez , Michel Crucianu , Marin Ferecatu
DOI: 10.1007/978-3-319-51811-4_12
关键词: Convolutional neural network 、 Pattern recognition 、 Computer science 、 Segmentation 、 Artificial intelligence 、 Parsing 、 Function (mathematics) 、 Pixel 、 Context (language use) 、 Energy (signal processing) 、 Computer vision 、 Image (mathematics)
摘要: In this paper we introduce a new method for extracting deformable clothing items from still images by extending the output of Fully Convolutional Neural Network (FCN) to infer context local units (superpixels). To achieve optimize an energy function, that combines large scale structure image with low-level visual descriptions superpixels, over space all possible pixel labellings. assess our compare it unmodified FCN network used as baseline, well well-known Paper Doll and Co-parsing methods fashion images.
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