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Xu et al., 2016 - Google Patents

Instance-level coupled subspace learning for fine-grained sketch-based image retrieval

Xu et al., 2016

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Document ID
5954227882981882556
Author
Xu P
Yin Q
Qi Y
Song Y
Ma Z
Wang L
Guo J
Publication year
Publication venue
Computer Vision–ECCV 2016 Workshops: Amsterdam, The Netherlands, October 8-10 and 15-16, 2016, Proceedings, Part I 14

External Links

Snippet

Fine-grained sketch-based image retrieval (FG-SBIR) is a newly emerged topic in computer vision. The problem is challenging because in addition to bridging the sketch-photo domain gap, it also asks for instance-level discrimination within object categories. Most prior …
Continue reading at qugank.github.io (PDF) (other versions)

Classifications

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    • G06F17/30861—Retrieval from the Internet, e.g. browsers
    • G06F17/30864—Retrieval from the Internet, e.g. browsers by querying, e.g. search engines or meta-search engines, crawling techniques, push systems
    • G06F17/30867—Retrieval from the Internet, e.g. browsers by querying, e.g. search engines or meta-search engines, crawling techniques, push systems with filtering and personalisation
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