Fashion image retrieval with capsule networks
dc.contributor.author | Kınlı, Osman Furkan | |
dc.contributor.author | Özcan, Barış | |
dc.contributor.author | Kıraç, Mustafa Furkan | |
dc.date.accessioned | 2020-09-11T08:40:24Z | |
dc.date.available | 2020-09-11T08:40:24Z | |
dc.date.issued | 2019 | |
dc.identifier.isbn | 978-1-7281-5023-9 | |
dc.identifier.issn | 2473-9936 | en_US |
dc.identifier.uri | http://hdl.handle.net/10679/6940 | |
dc.identifier.uri | https://ieeexplore.ieee.org/document/9022050 | |
dc.description.abstract | In this study, we investigate in-shop clothing retrieval performance of densely-connected Capsule Networks with dynamic routing. To achieve this, we propose Triplet-based design of Capsule Network architecture with two different feature extraction methods. In our design, Stacked-convolutional (SC) and Residual-connected (RC) blocks are used to form the input of capsule layers. Experimental results show that both of our designs outperform all variants of the baseline study, namely FashionNet, without relying on the landmark information. Moreover, when compared to the SOTA architectures on clothing retrieval, our proposed Triplet Capsule Networks achieve comparable recall rates only with half of parameters used in the SOTA architectures. | en_US |
dc.language.iso | eng | en_US |
dc.publisher | IEEE | en_US |
dc.relation.ispartof | 2019 IEEE/CVF International Conference on Computer Vision Workshop (ICCVW) | |
dc.rights | restrictedAccess | |
dc.title | Fashion image retrieval with capsule networks | en_US |
dc.type | Conference paper | en_US |
dc.publicationstatus | Published | en_US |
dc.contributor.department | Özyeğin University | |
dc.contributor.authorID | (ORCID 0000-0002-9192-6583 & YÖK ID 283852) Kınlı, Furkan | |
dc.contributor.authorID | (ORCID 0000-0001-9177-0489 & YÖK ID 124619) Kıraç, Furkan | |
dc.contributor.ozuauthor | Kınlı, Osman Furkan | |
dc.contributor.ozuauthor | Kıraç, Mustafa Furkan | |
dc.identifier.startpage | 3109 | en_US |
dc.identifier.endpage | 3112 | en_US |
dc.identifier.wos | WOS:000554591603026 | |
dc.identifier.doi | 10.1109/ICCVW.2019.00376 | en_US |
dc.identifier.scopus | SCOPUS:2-s2.0-85081642041 | |
dc.contributor.ozugradstudent | Özcan, Barış | |
dc.relation.publicationcategory | Conference Paper - International - Institutional Academic Staff and PhD Student |
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