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DAtRNet: Disentangling Fashion Attribute Embedding for Substitute Item Retrieval
Traditional fashion search platforms incorporate product metadata between the query products and the products to be retrieved.
From DNNs to GANs: Review of efficient hardware architectures for deep learning
Recently, neural network and deep learning has been started to impact the present research paradigm significantly which consists of parameters in the order of millions, nonlinear function for activation, convolutional operation for feature extraction, regression for classification, generative adversarial networks.
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