Implementation of digitalized technologies for fashion industry 4.0: Opportunities and challenges

SV Akram, PK Malik, R Singh, A Gehlot… - Scientific …, 2022 - Wiley Online Library
The Sustainable Development Goals of the United Nations prioritize sustainability by 2030.
The fashion industry is one most substantial manufacturing industries that generate an …

Fashion meets computer vision: A survey

WH Cheng, S Song, CY Chen, SC Hidayati… - ACM Computing Surveys …, 2021 - dl.acm.org
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 …

Social media user behavior analysis applied to the fashion and apparel industry in the big data era

Z Xue, Q Li, X Zeng - Journal of Retailing and Consumer Services, 2023 - Elsevier
With the rapid development of the Internet and new media, the enormous data from social
media and other public platforms have attracted increasing attention to user behavior …

Fashion recommendation systems, models and methods: A review

S Chakraborty, MS Hoque, N Rahman Jeem… - Informatics, 2021 - mdpi.com
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 …

Computational technologies for fashion recommendation: A survey

Y Ding, Z Lai, PY Mok, TS Chua - ACM Computing Surveys, 2023 - dl.acm.org
Fashion recommendation is a key research field in computational fashion research and has
attracted considerable interest in the computer vision, multimedia, and information retrieval …

Knowledge enhanced neural fashion trend forecasting

Y Ma, Y Ding, X Yang, L Liao, WK Wong… - Proceedings of the 2020 …, 2020 - dl.acm.org
Fashion trend forecasting is a crucial task for both academia andindustry. Although some
efforts have been devoted to tackling this challenging task, they only studied limited fashion …

Fine-grained fashion similarity prediction by attribute-specific embedding learning

J Dong, Z Ma, X Mao, X Yang, Y He… - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
This paper strives to predict fine-grained fashion similarity. In this similarity paradigm, one
should pay more attention to the similarity in terms of a specific design/attribute between …

Deep learning approaches for fashion knowledge extraction from social media: a review

M Mameli, M Paolanti, R Pietrini, G Pazzaglia… - Ieee …, 2021 - ieeexplore.ieee.org
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 …

Smart fashion: a review of AI applications in the Fashion & Apparel Industry

SO Mohammadi, A Kalhor - arXiv preprint arXiv:2111.00905, 2021 - arxiv.org
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 …

Toward fashion intelligence in the big data era: State-of-the-art and future prospects

L Liu, H Zhang, D Zhou, J Shi - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
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 …