Fashion is the way we present ourselves to the world and has become one of the world's
largest industries. Fashion, mainly conveyed by vision, has thus attracted much attention …

Fashion, as a popular aesthetic expression, is often conveyed in a specific context, in
particular in clothing, footwear, and accessories. Attributed to its enormous economic …

In recent years, both online retail and video hosting service have been exponentially grown.
In this paper, a novel deep neural network, called AsymNet, is proposed to explore a new …

Fashion knowledge encourages people to properly dress and faces not only physiological
necessity of users, but also the requirement of social practices and activities. It usually …

Relative attribute (RA) learning aims to learn the ranking function describing the relative
strength of the attribute. Most of current learning approaches learn a linear ranking function …

This paper deals with the problem of clothing retrieval in a recommendation system. We
develop a hierarchical deep search framework to tackle this problem. We use a pre-trained …

(57) ABSTRACT A machine learning image processing system performs natural language
processing (NLP) and auto-tagging for an image matching process. The system facilitates an …

Fashion is the manner in which we introduce ourselves to the world and has become
perhaps the biggest industry on the planet. In recent years, fashion-related research has …

In this work, we aim to investigate the practical task of flexible fashion search with attribute
manipulation, where users can retrieve the target fashion items by replacing the unwanted …

In this paper, we introduce Bangle Fashion Image Retrieval (BangleFIR), a novel dataset
focusing on bangles within the fashion domain. While garment and footwear retrieval has …