Brunel University Research Archive(BURA) preserves and enables easy and open access to all
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Research contained within BURA is open access, although some publications may be subject
to publisher imposed embargoes. All awarded PhD theses are also archived on BURA.
Please use this identifier to cite or link to this item:
http://bura.brunel.ac.uk/handle/2438/23715| Title: | The Current State of the Art in Deep Learning for Image Classification: A Review |
| Authors: | Byerly, A Kalganova, T Ott, R |
| Keywords: | state of the art;Imagenet;Papers with Code;transfomers;convolutional neural networks |
| Issue Date: | 7-Jul-2022 |
| Publisher: | Springer, Cham |
| 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. |
| Series/Report no.: | Lecture Notes in Networks and Systems;507 |
| URI: | https://bura.brunel.ac.uk/handle/2438/23715 |
| DOI: | https://doi.org/10.1007/978-3-031-10464-0_7 |
| ISBN: | 978-3-031-10463-3 (hbk) 978-3-031-10464-0 (ebk) |
| ISSN: | 2367-3370 |
| 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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