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 …

The apparel industry houses a huge amount and variety of data. At every step of the supply
chain, data is collected and stored by each supply chain actor. This data, when used …

Product dimension is a crucial piece of information enabling customers make better buying
decisions. E-commerce websites extract dimension attributes to enable customers filter the …

This paper presents a study on semi-supervised learning to solve the visual attribute
prediction problem. In many applications of vision algorithms, the precise recognition of …

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

Fashion is a fast-changing industry where designs are refreshed at large scale every
season. Moreover, it faces huge challenge of unsold inventory as not all designs appeal to …

Attributable to challenges of social event enormous volumes of material area information in
a setting of less mining research, foreseeing the qualities of articles of clothing turns into a …

摘要针对现有方法无法满足为用户设计个性化服装的同时呈现出试穿效果的问题,
提出一种结合风格迁移的虚拟试穿方法. 首先通过语义分割算法对用户图像和服装图像进行处理 …

The multitude of makeup products available can make it challenging to find the ideal match
for desired attributes. An intelligent approach for product discovery is required to enhance …

The digital technology of clothing has become a new direction in the clothing industry. How
to capture the attributes of clothing is the prerequisite for 'the Internet of Clothes'. Clothing …