Fashion recommendation is a key research field in computational fashion research and has
attracted considerable interest in the computer vision, multimedia, and information retrieval …

The fashion industry is on the verge of an unprecedented change. The implementation of
machine learning, computer vision, and artificial intelligence (AI) in fashion applications is …

We argue that there are many notions of'similarity'and that models, like humans, should be
able to adapt to these dynamically. This contrasts with most representation learning …

Despite significant progress in the past few years, machine learning systems are still often
viewed as" black boxes", which lack the ability to explain their output decisions. In high …

How to recommend outfits has gained considerable attention in both academia and industry
in recent years. Many studies have been carried out regarding fashion compatibility …

Fashion designs are rich in visual details associated with various visual attributes at both
global and local levels. As a result, effective modeling and analyzing fashion requires fine …

Fashion representation learning involves the analysis and understanding of various visual
elements at different granularities and the interactions among them. Existing works often …

This paper develops the MUFIN technique for extreme classification (XC) tasks with millions
of labels where datapoints and labels are endowed with visual and textual descriptors …

Attribute-specific fashion retrieval (ASFR) is a challenging information retrieval task, which
has attracted increasing attention in recent years. Different from traditional fashion retrieval …

In this independent report fAshIon after fashion, we examine the development of fAshIon
(artificial intelligence (AI) in fashion) and explore its potentiality to become a major disruptor …