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 …

In recent years, the textile and fashion industries have witnessed an enormous amount of
growth in fast fashion. On e-commerce platforms, where numerous choices are available, an …

Image retrieval can be formulated as a ranking problem where the goal is to order database
images by decreasing similarity to the query. Recent deep models for image retrieval have …

The blooming proliferation of aeronautics and astronautics platforms, together with the ever-
increasing remote sensing imaging sensors on these platforms, has led to the formation of …

This paper proposes a knowledge-guided fashion network to solve the problem of visual
fashion analysis, eg, fashion landmark localization and clothing category classification. The …

Outfits in online fashion data are composed of items of many different types (eg top, bottom,
shoes) that share some stylistic relationship with one another. A representation for building …

Modern deep neural networks (DNNs) become frail when the datasets contain noisy
(incorrect) class labels. Robust techniques in the presence of noisy labels can be …

Nowadays, customer's demands for E-commerce are more diversified, which introduces
more complications to the product retrieval industry. Previous methods are either subject to …

In this paper, we investigate ways of conducting a detailed fashion search using query
images and attributes. A credible fashion search platform should be able to (1) find images …

Matching clothing images from customers and online shopping stores has rich applications
in E-commerce. Existing algorithms encoded an image as a global feature vector and …