Trend forecasting is a challenging and important aspect of the fashion industry. The authors
design a novel fashion trend analysis system called “Neo-Fashion,” which provides …

Abstract Recently, Convolutional Neural Networks (CNN) has been used in variety of
domains, including fashion classification. Social media, e-commerce, and criminal law are …

Finding clothes that fit is a hot topic in the e-commerce fashion industry. Most approaches
addressing this problem are based on statistical methods relying on historical data of articles …

We propose a compact framework with guided attention for multi-label classification in the
fashion domain. Our visual semantic attention model (VSAM) is supervised by automatic …

A search engine server includes a communication interface through which to receive a multi-
modal query from a browser of a client device, the multi-modal query including at least a first …

Automatically extracting visual attributes for e-commerce data has widespread applications
in cataloging, catalogue qualification and enrichment, visual search, etc. Here, we address …

We studied the applicability of point clouds derived from tri-stereo satellite imagery for
semantic segmentation for generalized sparse convolutional neural networks by the …

This paper presents a novel densely-connected convolutional neural network, termed
OctopusNet, for hierarchical classification of surgical tools. The network shares information …

In online shopping applications, the daily insertion of new products requires an
overwhelming annotation effort. Usually done by humans, it comes at a huge cost and yet …

Most of the interaction between large organizations and their users will be mediated by AI
agents in the near future. This perception is becoming undisputed as online shopping …