Fully Convolutional Network with Superpixel Parsing for Fashion Web Image Segmentation

Lixuan Yang; Helena Rodriguez; Michel Crucianu; Marin Ferecatu

doi:10.1007/978-3-319-51811-4_12

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Fully Convolutional Network with Superpixel Parsing for Fashion Web Image Segmentation

Lixuan Yang Helena Rodriguez Michel Crucianu Marin Ferecatu

Year: 2016 Lecture notes in computer science Pages: 139-151 Publisher: Springer Science+Business Media

DOI: 10.1007/978-3-319-51811-4_12

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Keywords:

Parsing Computer science Convolutional neural network Artificial intelligence Image (mathematics) Pattern recognition (psychology) Segmentation Context (archaeology) Pixel Computer vision Geography

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Generative Adversarial Networks and Image Synthesis

Physical Sciences → Computer Science → Computer Vision and Pattern Recognition

Industrial Vision Systems and Defect Detection

Physical Sciences → Engineering → Industrial and Manufacturing Engineering

Image Retrieval and Classification Techniques

Physical Sciences → Computer Science → Computer Vision and Pattern Recognition

Fully Convolutional Network with Superpixel Parsing for Fashion Web Image Segmentation

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