{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,2]],"date-time":"2026-04-02T16:08:46Z","timestamp":1775146126588,"version":"3.50.1"},"reference-count":56,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","issue":"4","license":[{"start":{"date-parts":[[2020,12,1]],"date-time":"2020-12-01T00:00:00Z","timestamp":1606780800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2020,12,1]],"date-time":"2020-12-01T00:00:00Z","timestamp":1606780800000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2020,12,1]],"date-time":"2020-12-01T00:00:00Z","timestamp":1606780800000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"funder":[{"DOI":"10.13039\/100004358","name":"Samsung Institute of Technology","doi-asserted-by":"publisher","id":[{"id":"10.13039\/100004358","id-type":"DOI","asserted-by":"publisher"}]},{"name":"Swiss National Science Foundation (SNSF) National Centre of Competence in Research (NCCR) Robotics"},{"name":"SNSF BRIDGE","award":["40B2-0_181010"],"award-info":[{"award-number":["40B2-0_181010"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE J. Emerg. Sel. Topics Circuits Syst."],"published-print":{"date-parts":[[2020,12]]},"DOI":"10.1109\/jetcas.2020.3033155","type":"journal-article","created":{"date-parts":[[2020,10,22]],"date-time":"2020-10-22T19:37:02Z","timestamp":1603395422000},"page":"488-497","source":"Crossref","is-referenced-by-count":20,"title":["Siamese Networks for Few-Shot Learning on Edge Embedded Devices"],"prefix":"10.1109","volume":"10","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-4089-1237","authenticated-orcid":false,"given":"Iulia Alexandra","family":"Lungu","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-8667-023X","authenticated-orcid":false,"given":"Alessandro","family":"Aimar","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-5543-7619","authenticated-orcid":false,"given":"Yuhuang","family":"Hu","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-5479-1141","authenticated-orcid":false,"given":"Tobi","family":"Delbruck","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-7557-045X","authenticated-orcid":false,"given":"Shih-Chii","family":"Liu","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"key":"ref39","doi-asserted-by":"publisher","DOI":"10.1109\/TNNLS.2018.2852335"},{"key":"ref38","doi-asserted-by":"publisher","DOI":"10.1109\/CICC.2018.8357071"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2016.2567393"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1109\/TII.2019.2945362"},{"key":"ref31","first-page":"1","article-title":"Meta-learning with latent embedding optimization","author":"rusu","year":"2019","journal-title":"Proc Int Conf Learn Represent"},{"key":"ref30","article-title":"On first-order meta-learning algorithms","volume":"abs 1803 2999","author":"nichol","year":"2018","journal-title":"CoRR"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.1109\/ISCAS.2017.8050809"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.1109\/MICRO.2016.7783723"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.1145\/3079856.3080254"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1109\/TCSVT.2016.2592330"},{"key":"ref28","first-page":"3630","article-title":"Matching Networks for One Shot Learning","author":"vinyals","year":"2016","journal-title":"Advances in Neural IInformation Processing Systems"},{"key":"ref27","article-title":"Siamese learning visual tracking: A survey","volume":"abs 1707 569","author":"pflugfelder","year":"2017","journal-title":"CoRR"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00131"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1016\/S0079-7421(08)60536-8"},{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1109\/JPROC.2019.2921977"},{"key":"ref20","first-page":"1126","article-title":"Model-agnostic meta-learning for fast adaptation of deep networks","volume":"70","author":"finn","year":"2017","journal-title":"Proc 34th Int Conf Mach Learn"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-46484-8_48"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2005.202"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1016\/j.cviu.2019.04.004"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-01267-0_30"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.614"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1007\/s11263-017-1016-8"},{"key":"ref50","year":"2020","journal-title":"Pruning Comprehensive Guide"},{"key":"ref51","article-title":"What is the state of neural network pruning?","author":"blalock","year":"2020","journal-title":"Proc Mach Learn Syst (MLSys)"},{"key":"ref56","doi-asserted-by":"publisher","DOI":"10.3389\/fnins.2015.00222"},{"key":"ref55","first-page":"1","article-title":"WRPN: Wide reduced-precision networks","author":"mishra","year":"2018","journal-title":"Proc Int Conf Learn Represent"},{"key":"ref54","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-01258-8_15"},{"key":"ref53","article-title":"Fast and generalized adaptation for few-shot learning","volume":"abs 1911 10807","author":"song","year":"2019","journal-title":"CoRR"},{"key":"ref52","first-page":"1","article-title":"Gradient-based meta-learning with learned layerwise metric and subspace","author":"lee","year":"2018","journal-title":"Proc ICML"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.587"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1109\/AICAS48895.2020.9073996"},{"key":"ref40","doi-asserted-by":"publisher","DOI":"10.1109\/ICASSP.2019.8683669"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1126\/science.aab3050"},{"key":"ref13","year":"2020","journal-title":"Tiny imagenet visual recognition challenge"},{"key":"ref14","article-title":"Learning multiple layers of features from tiny images","author":"krizhevsky","year":"2012"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1109\/AICAS.2019.8771472"},{"key":"ref16","year":"2020","journal-title":"Jetson Nano"},{"key":"ref17","year":"2020","journal-title":"Tensorflow Models on the Edge TPU"},{"key":"ref18","first-page":"3630","article-title":"Matching networks for one shot learning","author":"vinyals","year":"2016","journal-title":"Advances in Neural IInformation Processing Systems"},{"key":"ref19","first-page":"4077","article-title":"Prototypical networks for few-shot learning","author":"snell","year":"2017","journal-title":"Advances in Neural IInformation Processing Systems"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2005.117"},{"key":"ref3","first-page":"1","article-title":"A closer look at few-shot classification","author":"chen","year":"2019","journal-title":"Proc ICLR"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-01424-7_58"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00760"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1142\/S0218001493000339"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-05318-5_2"},{"key":"ref49","year":"2020","journal-title":"Quantization Aware Training Comprehensive Guide"},{"key":"ref9","first-page":"1","article-title":"Siamese neural networks for one-shot image recognition","volume":"2","author":"koch","year":"2015","journal-title":"Proc 32nd Int Conf Mach Learn"},{"key":"ref46","doi-asserted-by":"publisher","DOI":"10.1109\/JSSC.2014.2342715"},{"key":"ref45","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2009.5206848"},{"key":"ref48","doi-asserted-by":"publisher","DOI":"10.1109\/ISCAS.2017.8050403"},{"key":"ref47","doi-asserted-by":"publisher","DOI":"10.1109\/EBCCSP.2016.7605233"},{"key":"ref42","doi-asserted-by":"publisher","DOI":"10.1145\/3159171"},{"key":"ref41","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-27272-2_3"},{"key":"ref44","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2015.7298594"},{"key":"ref43","doi-asserted-by":"publisher","DOI":"10.1109\/LGRS.2019.2894399"}],"container-title":["IEEE Journal on Emerging and Selected Topics in Circuits and Systems"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/5503868\/9282734\/09235455.pdf?arnumber=9235455","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,4,27]],"date-time":"2022-04-27T17:17:02Z","timestamp":1651079822000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9235455\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2020,12]]},"references-count":56,"journal-issue":{"issue":"4"},"URL":"https:\/\/doi.org\/10.1109\/jetcas.2020.3033155","relation":{},"ISSN":["2156-3357","2156-3365"],"issn-type":[{"value":"2156-3357","type":"print"},{"value":"2156-3365","type":"electronic"}],"subject":[],"published":{"date-parts":[[2020,12]]}}}