MISC

2015年5月

Retrieving Similar Styles to Parse Clothing

IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE
  • Kota Yamaguchi
  • ,
  • M. Hadi Kiapour
  • ,
  • Luis E. Ortiz
  • ,
  • Tamara L. Berg

37
5
開始ページ
1028
終了ページ
1040
記述言語
英語
掲載種別
DOI
10.1109/TPAMI.2014.2353624
出版者・発行元
IEEE COMPUTER SOC

Clothing recognition is a societally and commercially important yet extremely challenging problem due to large variations in clothing appearance, layering, style, and body shape and pose. 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 recognize clothing items in 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. We evaluate our approach extensively and show significant improvements over previous state-of-the-art for both localization (clothing parsing given weak supervision in the form of tags) and detection (general clothing parsing). Our experimental results also indicate that the general pose estimation problem can benefit from clothing parsing.

Web of Science ® 被引用回数 : 72

リンク情報
DOI
https://doi.org/10.1109/TPAMI.2014.2353624
Web of Science
https://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcAuth=JSTA_CEL&SrcApp=J_Gate_JST&DestLinkType=FullRecord&KeyUT=WOS:000352533000010&DestApp=WOS_CPL
URL
https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=84927126960&origin=inward
ID情報
  • DOI : 10.1109/TPAMI.2014.2353624
  • ISSN : 0162-8828
  • eISSN : 1939-3539
  • SCOPUS ID : 84927126960
  • Web of Science ID : WOS:000352533000010

エクスポート
BibTeX RIS