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dc.contributor.authorPark, Yoon Jin
dc.contributor.authorTuxworth, Gervase
dc.contributor.authorZhou, Jun
dc.date.accessioned2019-10-30T23:09:59Z
dc.date.available2019-10-30T23:09:59Z
dc.date.issued2019
dc.identifier.isbn9781538662496
dc.identifier.issn1522-4880
dc.identifier.doi10.1109/icip.2019.8803746
dc.identifier.urihttp://hdl.handle.net/10072/388743
dc.description.abstractnsect recognition at the species level is an active research field with a variety of applications. With the advancement of convolutional neural networks an automatic fine-grained image classifier has displayed encouraging performance. Despite these recent advances, differentiating images at the species level is still a challenge. To address the problems arising from insect-specific peculiarities, this paper presents a novel network that consists of squeeze-and-excitation modules and attention modules, enabling the network to focus on more informative and differentiating features with a limited number of training iterations and a small dataset. The proposed model is trained on an insect dataset collected from Atlas of Living Australia. The results reveal that the integrated model achieves higher accuracy than several alternative methods on the introduced insect dataset.
dc.description.peerreviewedYes
dc.languageEnglish
dc.publisherIEEE
dc.relation.ispartofconferencename2019 IEEE International Conference on Image Processing (ICIP 2019)
dc.relation.ispartofconferencetitle2019 IEEE International Conference on Image Processing (ICIP)
dc.relation.ispartofdatefrom2019-09-22
dc.relation.ispartofdateto2019-09-25
dc.relation.ispartoflocationTaipei, Taiwan
dc.relation.ispartofpagefrom3437
dc.relation.ispartofpagefrom5 pages
dc.relation.ispartofpageto3441
dc.relation.ispartofpageto5 pages
dc.relation.ispartofvolume2019-September
dc.subject.fieldofresearchArtificial Intelligence and Image Processing
dc.subject.fieldofresearchcode0801
dc.titleInsect Classification Using Squeeze-and-Excitation and Attention Modules - a Benchmark Study
dc.typeConference output
dc.type.descriptionE1 - Conferences
dcterms.bibliographicCitationPark, YJ; Tuxworth, G; Zhou, J, Insect Classification Using Squeeze-and-Excitation and Attention Modules - a Benchmark Study, 2019 IEEE International Conference on Image Processing (ICIP), 2019
dc.date.updated2019-10-29T02:39:29Z
dc.description.versionAccepted Manuscript (AM)
gro.rights.copyright© 2019 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.
gro.hasfulltextFull Text
gro.griffith.authorTuxworth, Gervase
gro.griffith.authorZhou, Jun
gro.griffith.authorPark, YJ


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