A Review Of AI Applications In The Fashion & Apparel Industry

Computer Science > Computer Vision and Pattern Recognition arXiv:2111.00905 (cs) [Submitted on 28 Oct 2021 (v1), last revised 2 Nov 2021 (this version, v2)] Title:Smart Fashion: A Review of AI Applications in the Fashion & Apparel Industry Authors:Seyed Omid Mohammadi, Ahmad Kalhor (University of Tehran, College of Engineering, School of Electrical and Computer Engineering, Tehran, Iran) View a PDF of the paper titled Smart Fashion: A Review of AI Applications in the Fashion & Apparel Industry, by Seyed Omid Mohammadi and 5 other authors View PDF
Abstract: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 opening lots of new opportunities for this industry. This paper provides a comprehensive survey on this matter, categorizing more than 580 related articles into 22 well-defined fashion-related tasks. Such structured task-based multi-label classification of fashion research articles provides researchers with explicit research directions and facilitates their access to the related studies, improving the visibility of studies simultaneously. For each task, a time chart is provided to analyze the progress through the years. Furthermore, we provide a list of 86 public fashion datasets accompanied by a list of suggested applications and additional information for each.
Comments: 99 Pages, 79 Figures, 24 Tables, Full length manuscript
Subjects: Computer Vision and Pattern Recognition (cs.CV); Artificial Intelligence (cs.AI); Machine Learning (cs.LG)
ACM classes: A.1; I.2
Cite as: arXiv:2111.00905 [cs.CV]
(or arXiv:2111.00905v2 [cs.CV] for this version)
https://doi.org/10.48550/arXiv.2111.00905 Focus to learn more arXiv-issued DOI via DataCite

Submission history

From: Seyed Omid Mohammadi [view email] [v1] Thu, 28 Oct 2021 10:51:34 UTC (14,465 KB) [v2] Tue, 2 Nov 2021 10:09:23 UTC (14,490 KB) Full-text links:

Access Paper:

    View a PDF of the paper titled Smart Fashion: A Review of AI Applications in the Fashion & Apparel Industry, by Seyed Omid Mohammadi and 5 other authors
  • View PDF
  • Other Formats
view license Current browse context: cs.CV < prev | next > new | recent | 2021-11 Change to browse by: cs cs.AI cs.LG

References & Citations

  • NASA ADS
  • Google Scholar
  • Semantic Scholar

DBLP - CS Bibliography

listing | bibtex Ahmad Kalhor export BibTeX citation

BibTeX formatted citation

× loading... Data provided by:

Bookmark

BibSonomy logo Reddit logo Bibliographic Tools Bibliographic and Citation Tools Bibliographic Explorer Toggle Bibliographic Explorer (What is the Explorer?) Connected Papers Toggle Connected Papers (What is Connected Papers?) Litmaps Toggle Litmaps (What is Litmaps?) scite.ai Toggle scite Smart Citations (What are Smart Citations?) Code, Data, Media Code, Data and Media Associated with this Article alphaXiv Toggle alphaXiv (What is alphaXiv?) Links to Code Toggle CatalyzeX Code Finder for Papers (What is CatalyzeX?) DagsHub Toggle DagsHub (What is DagsHub?) GotitPub Toggle Gotit.pub (What is GotitPub?) Huggingface Toggle Hugging Face (What is Huggingface?) Links to Code Toggle Papers with Code (What is Papers with Code?) ScienceCast Toggle ScienceCast (What is ScienceCast?) Demos Demos Replicate Toggle Replicate (What is Replicate?) Spaces Toggle Hugging Face Spaces (What is Spaces?) Spaces Toggle TXYZ.AI (What is TXYZ.AI?) Related Papers Recommenders and Search Tools Link to Influence Flower Influence Flower (What are Influence Flowers?) Core recommender toggle CORE Recommender (What is CORE?)
  • Author
  • Venue
  • Institution
  • Topic
About arXivLabs arXivLabs: experimental projects with community collaborators

arXivLabs is a framework that allows collaborators to develop and share new arXiv features directly on our website.

Both individuals and organizations that work with arXivLabs have embraced and accepted our values of openness, community, excellence, and user data privacy. arXiv is committed to these values and only works with partners that adhere to them.

Have an idea for a project that will add value for arXiv's community? Learn more about arXivLabs.

Which authors of this paper are endorsers? | Disable MathJax (What is MathJax?)

Tag » A Review Of Artificial Intelligence Applications In Apparel Industry