ML Anthology

Parsing Clothing in Fashion Photographs

Kota Yamaguchi, M. Hadi Kiapour, Luis E. Ortiz, Tamara L. Berg
CVPR 2012 pp. 3570-3577
doi:10.1109/CVPR.2012.6248101 /cvpr/2012/yamaguchi2012cvpr-parsing/

Abstract

In this paper we demonstrate an effective method for parsing clothing in fashion photographs, an extremely challenging problem due to the large number of possible garment items, variations in configuration, garment appearance, layering, and occlusion. In addition, we provide a large novel dataset and tools for labeling garment items, to enable future research on clothing estimation. Finally, we present intriguing initial results on using clothing estimates to improve pose identification, and demonstrate a prototype application for pose-independent visual garment retrieval.

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Cite

Text

Yamaguchi et al. "Parsing Clothing in Fashion Photographs." IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2012. doi:10.1109/CVPR.2012.6248101

Markdown

[Yamaguchi et al. "Parsing Clothing in Fashion Photographs." IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2012.](https://mlanthology.org/cvpr/2012/yamaguchi2012cvpr-parsing/) doi:10.1109/CVPR.2012.6248101

BibTeX

@inproceedings{yamaguchi2012cvpr-parsing,
  title     = {{Parsing Clothing in Fashion Photographs}},
  author    = {Yamaguchi, Kota and Kiapour, M. Hadi and Ortiz, Luis E. and Berg, Tamara L.},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition},
  year      = {2012},
  pages     = {3570-3577},
  doi       = {10.1109/CVPR.2012.6248101},
  url       = {https://mlanthology.org/cvpr/2012/yamaguchi2012cvpr-parsing/}
}