TY - GEN
T1 - Paper doll parsing
T2 - 2013 14th IEEE International Conference on Computer Vision, ICCV 2013
AU - Yamaguchi, Kota
AU - Kiapour, M. Hadi
AU - Berg, Tamara L.
PY - 2013/1/1
Y1 - 2013/1/1
N2 - Clothing recognition is an extremely challenging problem due to wide variation in clothing item appearance, layering, and style. In this paper, we tackle the clothing parsing problem using a retrieval based approach. For a query image, we find similar styles from a large database of tagged fashion images and use these examples to parse the query. Our approach combines parsing from: pre-trained global clothing models, local clothing models learned on the fly from retrieved examples, and transferred parse masks (paper doll item transfer) from retrieved examples. Experimental evaluation shows that our approach significantly outperforms state of the art in parsing accuracy.
AB - Clothing recognition is an extremely challenging problem due to wide variation in clothing item appearance, layering, and style. In this paper, we tackle the clothing parsing problem using a retrieval based approach. For a query image, we find similar styles from a large database of tagged fashion images and use these examples to parse the query. Our approach combines parsing from: pre-trained global clothing models, local clothing models learned on the fly from retrieved examples, and transferred parse masks (paper doll item transfer) from retrieved examples. Experimental evaluation shows that our approach significantly outperforms state of the art in parsing accuracy.
KW - clothing parsing
KW - clothing recognition
KW - segmentation
UR - http://www.scopus.com/inward/record.url?scp=84898779488&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84898779488&partnerID=8YFLogxK
U2 - 10.1109/ICCV.2013.437
DO - 10.1109/ICCV.2013.437
M3 - Conference contribution
AN - SCOPUS:84898779488
SN - 9781479928392
T3 - Proceedings of the IEEE International Conference on Computer Vision
SP - 3519
EP - 3526
BT - Proceedings - 2013 IEEE International Conference on Computer Vision, ICCV 2013
PB - Institute of Electrical and Electronics Engineers Inc.
Y2 - 1 December 2013 through 8 December 2013
ER -