Semantic segmentation of fashion images using feature pyramid networks

We approach fashion image analysis through semantic segmentation of fashion images, using both textural information and cues from shape and context, where target classes are clothing categories. Our main contributions are state-of-the-art semantic segmentation of fashion images with modest memory and compute requirements.

John Martinsson, Olof Mogren

Second Workshop on Computer Vision for Fashion, Art and Design at ICCV
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