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Learning Visual Clothing Style with Heterogeneous Dyadic Co-Occurrences.

IEEE International Conference on Computer Vision(2015)

Cited 388|Views31
Key words
visual clothing style,heterogeneous dyadic co-occurrences,smart mobile devices,clothing images,accessory images,visual similarity,learning framework,feature transformation,latent space,Siamese convolutional neural network architecture,CNN architecture,large-scale user behavior data,co-purchase data,Amazon.com,cross-category fit,high-level categories,clothing style compatibility
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