{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,6,24]],"date-time":"2025-06-24T17:22:11Z","timestamp":1750785731357,"version":"3.37.3"},"reference-count":61,"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"}],"funder":[{"name":"Science and Technology on Complex Electronic System Simulation Laboratory","award":["DXZF-JC-ZZ-2017-007"],"award-info":[{"award-number":["DXZF-JC-ZZ-2017-007"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Access"],"published-print":{"date-parts":[[2020]]},"DOI":"10.1109\/access.2020.3020363","type":"journal-article","created":{"date-parts":[[2020,8,31]],"date-time":"2020-08-31T21:05:23Z","timestamp":1598907923000},"page":"158996-159016","source":"Crossref","is-referenced-by-count":15,"title":["Multi-Size Convolution and Learning Deep Network for SAR Ship Detection From Scratch"],"prefix":"10.1109","volume":"8","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-0769-7002","authenticated-orcid":false,"given":"Long","family":"Han","sequence":"first","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0003-2177-215X","authenticated-orcid":false,"given":"Da","family":"Ran","sequence":"additional","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0001-7800-4034","authenticated-orcid":false,"given":"Wei","family":"Ye","sequence":"additional","affiliation":[]},{"given":"Weidong","family":"Yang","sequence":"additional","affiliation":[]},{"given":"Xu","family":"Wu","sequence":"additional","affiliation":[]}],"member":"263","reference":[{"key":"ref39","doi-asserted-by":"publisher","DOI":"10.3390\/rs11101206"},{"key":"ref38","article-title":"MobileNets: Efficient convolutional neural networks for mobile vision applications","author":"howard","year":"2017","journal-title":"arXiv 1704 04861"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.106"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2019.2923988"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1109\/IGARSS.2019.8900290"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.3390\/rs9080860"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.3390\/rs11070786"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2018.2858826"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.3390\/s19051124"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2018.2825376"},{"key":"ref60","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-01252-6_24"},{"key":"ref61","first-page":"9259","article-title":"M2Det: A single-shot object detector based on multi-level feature pyramid network","author":"zhang","year":"2019","journal-title":"Proc 33rd AAAI Conf Artif Intell"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.3390\/rs11222694"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.3390\/rs11060620"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00644"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1109\/LGRS.2016.2633548"},{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1109\/LGRS.2016.2618604"},{"key":"ref20","first-page":"21","article-title":"SSD: Single shot MultiBox detector","author":"liu","year":"2016","journal-title":"Proc Eur Conf Comput Vis"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1109\/BIGSARDATA.2017.8124934"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2017.212"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2020.2997200"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.3390\/rs11070765"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.3390\/rs10122043"},{"key":"ref25","first-page":"852","article-title":"AIR-SARShip-1.0: High-resolution SAR ship detection dataset","volume":"8","author":"xian","year":"2019","journal-title":"J Radars"},{"key":"ref50","doi-asserted-by":"publisher","DOI":"10.3390\/rs11212483"},{"key":"ref51","first-page":"841","article-title":"High-speed and high-accurate SAR ship detection based on a depthwise separable convolution neural network","volume":"8","author":"zhang","year":"2019","journal-title":"J Radars"},{"key":"ref59","doi-asserted-by":"publisher","DOI":"10.1145\/2647868.2654889"},{"key":"ref58","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.00237"},{"key":"ref57","article-title":"Network trimming: A data-driven neuron pruning approach towards efficient deep architectures","author":"hu","year":"2016","journal-title":"arXiv 1607 03250"},{"key":"ref56","first-page":"1","article-title":"Very deep convolutional networks for large-scale image recognition","author":"simonyan","year":"2015","journal-title":"Proc Int Conf Learn Represent (ICLR)ICLR"},{"key":"ref55","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2018.2889353"},{"key":"ref54","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2019.2943241"},{"key":"ref53","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2020.2985637"},{"key":"ref52","doi-asserted-by":"publisher","DOI":"10.1109\/LGRS.2020.2993899"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.3390\/rs9121290"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1109\/MGRS.2016.2540798"},{"key":"ref40","first-page":"1990","article-title":"Ship detection in SAR images based on deep convolutional neural network","volume":"41","author":"yang","year":"2019","journal-title":"Syst Eng Electron"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2015.2437384"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2015.169"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2016.2577031"},{"key":"ref15","first-page":"379","article-title":"R-FCN: Object detection via region-based fully convolutional networks","author":"dai","year":"2016","journal-title":"Proc Int Conf Neural Inf Process"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.91"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.690"},{"key":"ref18","article-title":"YOLOv3: An incremental improvement","author":"redmon","year":"2018","journal-title":"arXiv 1804 02767"},{"key":"ref19","article-title":"YOLOv4: Optimal speed and accuracy of object detection","author":"bochkovskiy","year":"2020","journal-title":"arXiv 2004 10934"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1109\/JSTARS.2017.2764506"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1109\/LGRS.2017.2654450"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2017.2701813"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2016.2606481"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1109\/JSTARS.2016.2520518"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1080\/01431161.2013.873150"},{"key":"ref49","doi-asserted-by":"publisher","DOI":"10.3390\/rs11050531"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1117\/1.JRS.8.083501"},{"key":"ref46","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.00075"},{"key":"ref45","doi-asserted-by":"publisher","DOI":"10.1016\/j.isprsjprs.2020.05.016"},{"key":"ref48","first-page":"1026","article-title":"Improved SSD algorithm for small-scale SAR ship detection","volume":"42","author":"su","year":"2020","journal-title":"Syst Eng Electron"},{"key":"ref47","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2017.593"},{"key":"ref42","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2015.7298594"},{"key":"ref41","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2019.2930939"},{"key":"ref44","first-page":"4278","article-title":"Inception-v4, inception-ResNet and the impact of residual connections on learning","author":"szegedy","year":"2017","journal-title":"Proc 31st AAAI Conf Artif Intell"},{"key":"ref43","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.308"}],"container-title":["IEEE Access"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/6287639\/8948470\/09180258.pdf?arnumber=9180258","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2021,12,17]],"date-time":"2021-12-17T19:55:34Z","timestamp":1639770934000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9180258\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2020]]},"references-count":61,"URL":"https:\/\/doi.org\/10.1109\/access.2020.3020363","relation":{},"ISSN":["2169-3536"],"issn-type":[{"type":"electronic","value":"2169-3536"}],"subject":[],"published":{"date-parts":[[2020]]}}}