Low-Rank Pairwise Alignment Bilinear Network For Few-Shot Fine-Grained Image Classification
- Publisher:
- Institute of Electrical and Electronics Engineers (IEEE)
- Publication Type:
- Journal Article
- Citation:
- IEEE Transactions on Multimedia, 2020, PP, (99), pp. 1-1
- Issue Date:
- 2020
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Filename | Description | Size | |||
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09115215.pdf | Published version | 6.87 MB | Adobe PDF |
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Full metadata record
Field | Value | Language |
---|---|---|
dc.contributor.author | Huang, H | |
dc.contributor.author |
Zhang, J https://orcid.org/0000-0002-7240-3541 |
|
dc.contributor.author |
Zhang, J https://orcid.org/0000-0002-7240-3541 |
|
dc.contributor.author | Xu, J | |
dc.contributor.author | Wu, Q | |
dc.date.accessioned | 2021-01-13T05:59:52Z | |
dc.date.available | 2021-01-13T05:59:52Z | |
dc.date.issued | 2020 | |
dc.identifier.citation | IEEE Transactions on Multimedia, 2020, PP, (99), pp. 1-1 | |
dc.identifier.issn | 1520-9210 | |
dc.identifier.issn | 1941-0077 | |
dc.identifier.uri | http://hdl.handle.net/10453/145396 | |
dc.language | en | |
dc.publisher | Institute of Electrical and Electronics Engineers (IEEE) | |
dc.relation | Rail Manufacturing Cooperative Research Centre (RMCRC)R3.7.3 | |
dc.relation.ispartof | IEEE Transactions on Multimedia | |
dc.relation.isbasedon | 10.1109/tmm.2020.3001510 | |
dc.rights | info:eu-repo/semantics/closedAccess | |
dc.rights | © 2020 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. | en_US |
dc.subject | 08 Information and Computing Sciences, 09 Engineering | |
dc.subject.classification | Artificial Intelligence & Image Processing | |
dc.title | Low-Rank Pairwise Alignment Bilinear Network For Few-Shot Fine-Grained Image Classification | |
dc.type | Journal Article | |
utslib.citation.volume | PP | |
utslib.for | 08 Information and Computing Sciences | |
utslib.for | 09 Engineering | |
pubs.organisational-group | /University of Technology Sydney/Faculty of Engineering and Information Technology | |
pubs.organisational-group | /University of Technology Sydney/Strength - GBDTC - Global Big Data Technologies | |
pubs.organisational-group | /University of Technology Sydney/Faculty of Engineering and Information Technology/School of Electrical and Data Engineering | |
pubs.organisational-group | /University of Technology Sydney | |
utslib.copyright.status | closed_access | * |
dc.date.updated | 2021-01-13T05:59:43Z | |
pubs.issue | 99 | |
pubs.publication-status | Published | |
pubs.volume | PP | |
utslib.citation.issue | 99 |
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