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Please use this identifier to cite or link to this item:
http://bura.brunel.ac.uk/handle/2438/23715Full metadata record
| DC Field | Value | Language |
|---|---|---|
| dc.contributor.author | Byerly, A | - |
| dc.contributor.author | Kalganova, T | - |
| dc.contributor.author | Ott, R | - |
| dc.date.accessioned | 2021-12-10T16:09:34Z | - |
| dc.date.available | 2021-12-10T16:09:34Z | - |
| dc.date.issued | 2022-07-07 | - |
| dc.identifier.citation | Byerly, A., Kalganova, T. and Ott, R. (2022) 'The Current State of the Art in Deep Learning for Image Classification: A Review', in: Arai, K. (ed.) Intelligent Computing. SAI 2022 (Lecture Notes in Networks and Systems, 507). Cham, Switzerland: Springer, Cham, pp. 88 - 105 (18). doi: 10.1007/978-3-031-10464-0_7. | en_US |
| dc.identifier.isbn | 978-3-031-10463-3 (hbk) | - |
| dc.identifier.isbn | 978-3-031-10464-0 (ebk) | - |
| dc.identifier.issn | 2367-3370 | - |
| dc.identifier.uri | https://bura.brunel.ac.uk/handle/2438/23715 | - |
| dc.format.extent | 88 - 105 (18) | - |
| dc.format.medium | Print-Electronic | - |
| dc.language.iso | en_US | en_US |
| dc.publisher | Springer, Cham | en_US |
| dc.relation.ispartofseries | Lecture Notes in Networks and Systems;507 | - |
| dc.rights | Copyright © 2022 The Author(s), under exclusive license to Springer Nature Switzerland AG. This is a pre-copyedited, author-produced version of a book chapter accepted for publication in Intelligent Computing. SAI 2022. Lecture Notes in Networks and Systems, vol 507, following peer review. The final authenticated version is available online at https://doi.org/10.1007/978-3-031-10464-0_7. | - |
| dc.rights.uri | https://www.springernature.com/gp/open-research/policies/journal-policies | - |
| dc.source | Computing Conference 2022 | - |
| dc.source | Computing Conference 2022 | - |
| dc.subject | state of the art | en_US |
| dc.subject | Imagenet | en_US |
| dc.subject | Papers with Code | en_US |
| dc.subject | transfomers | en_US |
| dc.subject | convolutional neural networks | en_US |
| dc.title | The Current State of the Art in Deep Learning for Image Classification: A Review | en_US |
| dc.type | Conference Paper | en_US |
| dc.identifier.doi | https://doi.org/10.1007/978-3-031-10464-0_7 | - |
| pubs.finish-date | 2022-07-15 | - |
| pubs.finish-date | 2022-07-15 | - |
| pubs.publication-status | Published | - |
| pubs.start-date | 2022-07-14 | - |
| pubs.start-date | 2022-07-14 | - |
| dc.identifier.eissn | 2367-3389 | - |
| dc.rights.holder | The Author(s) | - |
| Appears in Collections: | Dept of Electronic and Electrical Engineering Embargoed Research Papers | |
Files in This Item:
| File | Description | Size | Format | |
|---|---|---|---|---|
| FullText.pdf | Embargoed until 7 July 2023 | 253.66 kB | Adobe PDF | View/Open |
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