2015年5月
Retrieving Similar Styles to Parse Clothing
IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE
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- 巻
- 37
- 号
- 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.
- リンク情報
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- 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
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- DOI : 10.1109/TPAMI.2014.2353624
- ISSN : 0162-8828
- eISSN : 1939-3539
- SCOPUS ID : 84927126960
- Web of Science ID : WOS:000352533000010