{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,2,21]],"date-time":"2025-02-21T01:44:35Z","timestamp":1740102275905,"version":"3.37.3"},"reference-count":24,"publisher":"IEEE","license":[{"start":{"date-parts":[[2023,9,20]],"date-time":"2023-09-20T00:00:00Z","timestamp":1695168000000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2023,9,20]],"date-time":"2023-09-20T00:00:00Z","timestamp":1695168000000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"funder":[{"DOI":"10.13039\/501100002383","name":"King Saud University","doi-asserted-by":"publisher","id":[{"id":"10.13039\/501100002383","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2023,9,20]]},"DOI":"10.23919\/spa59660.2023.10274448","type":"proceedings-article","created":{"date-parts":[[2023,10,10]],"date-time":"2023-10-10T18:52:57Z","timestamp":1696963977000},"page":"100-105","source":"Crossref","is-referenced-by-count":0,"title":["Prototypical Networks for Remote Sensing Scene Classification : Episodic Versus Classical Training"],"prefix":"10.23919","author":[{"given":"Saleh","family":"Alshamrani","sequence":"first","affiliation":[{"name":"King Saud University,Department of Computer Engineering,Riyadh,Saudi Arabia"}]},{"given":"Haikel","family":"Alhichri","sequence":"additional","affiliation":[{"name":"King Saud University,Department of Computer Engineering,Riyadh,Saudi Arabia"}]},{"given":"Yakoub","family":"Bazi","sequence":"additional","affiliation":[{"name":"King Saud University,Department of Computer Engineering,Riyadh,Saudi Arabia"}]},{"given":"Naif","family":"Alajlan","sequence":"additional","affiliation":[{"name":"King Saud University,Department of Computer Engineering,Riyadh,Saudi Arabia"}]}],"member":"263","reference":[{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1109\/jproc.2017.2675998"},{"journal-title":"Remote Sensing Big Data: Challenges, Opportunities, Management and Application","author":"Huq","key":"ref2"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1109\/access.2021.3051085"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1109\/igarss.2018.8518874"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1109\/jstars.2020.3005403"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1155\/2018\/6257810"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1109\/eit.2018.8500107"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1109\/m2garss47143.2020.9105154"},{"article-title":"Prototypical Networks for Few-shot Learning","volume-title":"NIPS","author":"Snell","key":"ref9"},{"key":"ref10","first-page":"3637","article-title":"Matching Networks for One Shot Learning","volume-title":"Proceedings of the 30th International Conference on Neural Information Processing Systems, in NIPS\u201916. USA: Curran Associates Inc.","author":"Vinyals"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-05318-5_2"},{"key":"ref12","first-page":"177","article-title":"Transferable Meta Learning Across Domains","volume-title":"the Conference on Uncertainty in Artificial Intelligence, Monterey","author":"Kang"},{"key":"ref13","first-page":"6105","article-title":"Efficientnet: Rethinking model scaling for convolutional neural networks","volume-title":"International conference on machine learning","author":"Tan"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1109\/iceiec49280.2020.9152261"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1109\/cvpr.2018.00131"},{"key":"ref16","first-page":"1126","article-title":"Model-agnostic Meta-learning for Fast Adaptation of Deep Networks","volume-title":"Proceedings of the 34th International Conference on Machine Learning - Volume 70, in ICML\u201917","author":"Finn"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1109\/cdma47397.2020.00019"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1109\/cvpr42600.2020.01222"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1109\/access.2020.3044192"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1109\/tgrs.2020.3027387"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.3390\/rs14051161"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1145\/1869790.1869829"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1109\/tgrs.2018.2864987"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1109\/tgrs.2017.2685945"}],"event":{"name":"2023 Signal Processing: Algorithms, Architectures, Arrangements, and Applications (SPA)","start":{"date-parts":[[2023,9,20]]},"location":"Poznan, Poland","end":{"date-parts":[[2023,9,22]]}},"container-title":["2023 Signal Processing: Algorithms, Architectures, Arrangements, and Applications (SPA)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/10274003\/10274005\/10274448.pdf?arnumber=10274448","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,4,12]],"date-time":"2024-04-12T06:52:28Z","timestamp":1712904748000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/10274448\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2023,9,20]]},"references-count":24,"URL":"https:\/\/doi.org\/10.23919\/spa59660.2023.10274448","relation":{},"subject":[],"published":{"date-parts":[[2023,9,20]]}}}