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Fashion meets computer vision: A survey
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 …
largest industries. Fashion, mainly conveyed by vision, has thus attracted much attention …
[HTML][HTML] Big data and AI-driven product design: a survey
H Quan, S Li, C Zeng, H Wei, J Hu - Applied Sciences, 2023 - mdpi.com
As living standards improve, modern products need to meet increasingly diversified and
personalized user requirements. Traditional product design methods fall short due to their …
personalized user requirements. Traditional product design methods fall short due to their …
Learning fashion compatibility with bidirectional lstms
The ubiquity of online fashion shop** demands effective recommendation services for
customers. In this paper, we study two types of fashion recommendation:(i) suggesting an …
customers. In this paper, we study two types of fashion recommendation:(i) suggesting an …
Deep learning based large scale visual recommendation and search for e-commerce
D Shankar, S Narumanchi, HA Ananya… - ar** images
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 …
In this paper, a novel deep neural network, called AsymNet, is proposed to explore a new …
The exploration of artificial intelligence application in fashion trend forecasting
Fashion trends today are changing much faster than ever before. Timely and reliable trend
forecasting is, therefore, critical in the fashion industry. Traditional fashion forecasting …
forecasting is, therefore, critical in the fashion industry. Traditional fashion forecasting …
A machine learning approach for product matching and categorization: Use case: Enriching product ads with semantic structured data
Consumers today have the option to purchase products from thousands of e-shops.
However, the completeness of the product specifications and the taxonomies used for …
However, the completeness of the product specifications and the taxonomies used for …
Cross-domain image retrieval with attention modeling
With the proliferation of e-commerce websites and the ubiquitousness of smart phones,
cross-domain image retrieval using images taken by smart phones as queries to search …
cross-domain image retrieval using images taken by smart phones as queries to search …
Cross-domain image retrieval: methods and applications
X Zhou, X Han, H Li, J Wang, X Liang - International Journal of Multimedia …, 2022 - Springer
Cross-domain images have been witnessed in an increasing number of applications. This
new trend triggers demands for cross-domain image retrieval (CDIR), which finds images in …
new trend triggers demands for cross-domain image retrieval (CDIR), which finds images in …