{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,1]],"date-time":"2026-04-01T11:17:34Z","timestamp":1775042254333,"version":"3.50.1"},"reference-count":35,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","license":[{"start":{"date-parts":[[2020,1,1]],"date-time":"2020-01-01T00:00:00Z","timestamp":1577836800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/legalcode"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Access"],"published-print":{"date-parts":[[2020]]},"DOI":"10.1109\/access.2020.3021487","type":"journal-article","created":{"date-parts":[[2020,9,3]],"date-time":"2020-09-03T22:23:00Z","timestamp":1599171780000},"page":"162588-162600","source":"Crossref","is-referenced-by-count":81,"title":["Deep Metric Learning Based Citrus Disease Classification With Sparse Data"],"prefix":"10.1109","volume":"8","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-0944-1553","authenticated-orcid":false,"given":"Sivasubramaniam","family":"Janarthan","sequence":"first","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0001-6378-9940","authenticated-orcid":false,"given":"Selvarajah","family":"Thuseethan","sequence":"additional","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0002-6559-6736","authenticated-orcid":false,"given":"Sutharshan","family":"Rajasegarar","sequence":"additional","affiliation":[]},{"given":"Qiang","family":"Lyu","sequence":"additional","affiliation":[]},{"given":"Yongqiang","family":"Zheng","sequence":"additional","affiliation":[]},{"given":"John","family":"Yearwood","sequence":"additional","affiliation":[]}],"member":"263","reference":[{"key":"ref33","first-page":"2579","article-title":"Visualizing data using t-SNE","volume":"9","author":"van der maaten","year":"2008","journal-title":"J Mach Learn Res"},{"key":"ref32","author":"hu","year":"2019","journal-title":"Data for A Low Shot Learning Method for Tea Leaf&#x2019;s Disease Identification"},{"key":"ref31","article-title":"Adam: A method for stochastic optimization","author":"kingma","year":"2014","journal-title":"arXiv 1412 6980"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-00006-6_15"},{"key":"ref35","article-title":"Hardware-oriented approximation of convolutional neural networks","author":"gysel","year":"2016","journal-title":"arXiv 1604 03168"},{"key":"ref34","article-title":"Deep compression: Compressing deep neural networks with pruning, trained quantization and Huffman coding","author":"han","year":"2015","journal-title":"arXiv 1510 00149 [cs]"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2020.2997001"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.308"},{"key":"ref12","article-title":"MobileNets: Efficient convolutional neural networks for mobile vision applications","author":"howard","year":"2017","journal-title":"arXiv 1704 04861"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00474"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00907"},{"key":"ref15","article-title":"EfficientNet: Rethinking model scaling for convolutional neural networks","author":"tan","year":"2019","journal-title":"arXiv 1905 11946"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1016\/j.compag.2019.104948"},{"key":"ref17","first-page":"1","article-title":"Siamese neural networks for one-shot image recognition","volume":"2","author":"koch","year":"2015","journal-title":"Proc ICML Deep Learn Workshop"},{"key":"ref18","first-page":"4077","article-title":"Prototypical networks for few-shot learning","author":"snell","year":"2017","journal-title":"Proc Adv Neural Inf Process Syst"},{"key":"ref19","article-title":"Metric learning with adaptive density discrimination","author":"rippel","year":"2015","journal-title":"arXiv 1511 05939"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00131"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.13031\/2013.41369"},{"key":"ref27","first-page":"737","article-title":"Signature verification using a &#x2018;siamese&#x2019; time delay neural network","author":"bromley","year":"1994","journal-title":"Proc Adv Neural Inf Process Syst"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2019.2900327"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.3390\/rs11111373"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2006.100"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.13031\/2013.41241"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2019.2924973"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1016\/j.compag.2018.04.023"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1016\/B978-0-12-812163-4.00016-4"},{"key":"ref9","article-title":"LeafGAN: An effective data augmentation method for practical plant disease diagnosis","author":"cap","year":"2020","journal-title":"arXiv 2002 10100"},{"key":"ref1","year":"2004","journal-title":"Commodity Atlas Citrus Fruits"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1016\/j.dib.2019.104340"},{"key":"ref22","article-title":"Very deep convolutional networks for large-scale image recognition","author":"simonyan","year":"2014","journal-title":"arXiv 1409 1556"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.243"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.3390\/sym10010011"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.3389\/fpls.2016.01419"},{"key":"ref26","first-page":"3630","article-title":"Matching networks for one shot learning","author":"vinyals","year":"2016","journal-title":"Proc Adv Neural Inf Process Syst"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.3389\/fpls.2017.01852"}],"container-title":["IEEE Access"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/6287639\/8948470\/09186111.pdf?arnumber=9186111","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2021,12,17]],"date-time":"2021-12-17T19:55:40Z","timestamp":1639770940000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9186111\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2020]]},"references-count":35,"URL":"https:\/\/doi.org\/10.1109\/access.2020.3021487","relation":{},"ISSN":["2169-3536"],"issn-type":[{"value":"2169-3536","type":"electronic"}],"subject":[],"published":{"date-parts":[[2020]]}}}