Visual Fashion Analysis Using Deep Learning: A Survey 


Vol. 45,  No. 7, pp. 1174-1182, Jul.  2020
10.7840/kics.2020.45.7.1174


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  Abstract

Due to the huge potential in the industry, understanding fashion images has driven a lot of attention. The visual fashion analysis techniques are used in various ways, such ais fashion recognition, fashion retrieval. Unlike general object images, clothes with non-rigid properties usually suffer from a deformation and occlusion in a image. Since the non-rigid characteristic makes hard to apply algorithms to fashion images, various research have been actively conducted to overcome this problem. Recently, with an advent of large-scale datasets and a development of deep learning, diverse fashion analysis methods based on deep-learning are introduced, which achieved huge performance improvement. In this paper, we introduce fashion recognition and fashion retrieval methods among prominent deep learning-based visual fashion analysis methods.

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  Cite this article

[IEEE Style]

S. Lee, S. Oh, C. Jung, C. Kim, "Visual Fashion Analysis Using Deep Learning: A Survey," The Journal of Korean Institute of Communications and Information Sciences, vol. 45, no. 7, pp. 1174-1182, 2020. DOI: 10.7840/kics.2020.45.7.1174.

[ACM Style]

Sumin Lee, Sungchan Oh, Chanho Jung, and Changick Kim. 2020. Visual Fashion Analysis Using Deep Learning: A Survey. The Journal of Korean Institute of Communications and Information Sciences, 45, 7, (2020), 1174-1182. DOI: 10.7840/kics.2020.45.7.1174.

[KICS Style]

Sumin Lee, Sungchan Oh, Chanho Jung, Changick Kim, "Visual Fashion Analysis Using Deep Learning: A Survey," The Journal of Korean Institute of Communications and Information Sciences, vol. 45, no. 7, pp. 1174-1182, 7. 2020. (https://doi.org/10.7840/kics.2020.45.7.1174)

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pISSN : 1226 - 4717
eISSN : 2287 - 3880