Predicting fashion trend using runway images: application of logistic regression in trend forecasting
Author:
Affiliation:
1. Wilson College of Textiles, North Carolina State University, Raleigh, NC, USA
Publisher
Informa UK Limited
Subject
Industrial and Manufacturing Engineering,Visual Arts and Performing Arts,Education
Link
https://www.tandfonline.com/doi/pdf/10.1080/17543266.2020.1829096
Reference48 articles.
1. Al-Halah, Z., Stiefelhagen, R. & Grauman, K. (2017). Fashion forward: Forecasting visual style in fashion. Proceedings of the IEEE International Conference on Computer Vision (pp. 388–397).
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3. Cyclical Fashion Movement: Women's Day Dresses: 1860-1980
4. Berg, T. & Belhumeur, P. (2013). Poof: Part-based one-vs.one features for fine- grained categorization, face verification, and attribute estimation. Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (pp. 955–962).
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