{"id":"https://openalex.org/W4387828750","doi":"https://doi.org/10.1109/igarss52108.2023.10282798","title":"Deform-FPN: A Novel FPN with Deformable Convolution for Multi-Scale SAR Ship Detection","display_name":"Deform-FPN: A Novel FPN with Deformable Convolution for Multi-Scale SAR Ship Detection","publication_year":2023,"publication_date":"2023-07-16","ids":{"openalex":"https://openalex.org/W4387828750","doi":"https://doi.org/10.1109/igarss52108.2023.10282798"},"language":"en","primary_location":{"id":"doi:10.1109/igarss52108.2023.10282798","is_oa":false,"landing_page_url":"https://doi.org/10.1109/igarss52108.2023.10282798","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IGARSS 2023 - 2023 IEEE International Geoscience and Remote Sensing Symposium","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5093102681","display_name":"Zhang Tianwen Zhang","orcid":null},"institutions":[{"id":"https://openalex.org/I150229711","display_name":"University of Electronic Science and Technology of China","ror":"https://ror.org/04qr3zq92","country_code":"CN","type":"education","lineage":["https://openalex.org/I150229711"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Zhang Tianwen Zhang","raw_affiliation_strings":["University of Electronic Science and Technology of China,School of Information and Communication Engineering,Chengdu,China","School of Information and Communication Engineering, University of Electronic Science and Technology of China, Chengdu, China"],"affiliations":[{"raw_affiliation_string":"University of Electronic Science and Technology of China,School of Information and Communication Engineering,Chengdu,China","institution_ids":["https://openalex.org/I150229711"]},{"raw_affiliation_string":"School of Information and Communication Engineering, University of Electronic Science and Technology of China, Chengdu, China","institution_ids":["https://openalex.org/I150229711"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100385993","display_name":"Xiaoling Zhang","orcid":"https://orcid.org/0000-0003-2343-3055"},"institutions":[{"id":"https://openalex.org/I150229711","display_name":"University of Electronic Science and Technology of China","ror":"https://ror.org/04qr3zq92","country_code":"CN","type":"education","lineage":["https://openalex.org/I150229711"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiaoling Zhang","raw_affiliation_strings":["University of Electronic Science and Technology of China,School of Information and Communication Engineering,Chengdu,China","School of Information and Communication Engineering, University of Electronic Science and Technology of China, Chengdu, China"],"affiliations":[{"raw_affiliation_string":"University of Electronic Science and Technology of China,School of Information and Communication Engineering,Chengdu,China","institution_ids":["https://openalex.org/I150229711"]},{"raw_affiliation_string":"School of Information and Communication Engineering, University of Electronic Science and Technology of China, Chengdu, China","institution_ids":["https://openalex.org/I150229711"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5046854149","display_name":"Zikang Shao","orcid":"https://orcid.org/0000-0002-0871-2091"},"institutions":[{"id":"https://openalex.org/I150229711","display_name":"University of Electronic Science and Technology of China","ror":"https://ror.org/04qr3zq92","country_code":"CN","type":"education","lineage":["https://openalex.org/I150229711"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zikang Shao","raw_affiliation_strings":["University of Electronic Science and Technology of China,School of Information and Communication Engineering,Chengdu,China","School of Information and Communication Engineering, University of Electronic Science and Technology of China, Chengdu, China"],"affiliations":[{"raw_affiliation_string":"University of Electronic Science and Technology of China,School of Information and Communication Engineering,Chengdu,China","institution_ids":["https://openalex.org/I150229711"]},{"raw_affiliation_string":"School of Information and Communication Engineering, University of Electronic Science and Technology of China, Chengdu, China","institution_ids":["https://openalex.org/I150229711"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5093102681"],"corresponding_institution_ids":["https://openalex.org/I150229711"],"apc_list":null,"apc_paid":null,"fwci":1.351,"has_fulltext":false,"cited_by_count":11,"citation_normalized_percentile":{"value":0.83416173,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":97,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"5273","last_page":"5276"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10036","display_name":"Advanced Neural Network Applications","score":0.9965000152587891,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10036","display_name":"Advanced Neural Network Applications","score":0.9965000152587891,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T12624","display_name":"Maritime and Coastal Archaeology","score":0.9829999804496765,"subfield":{"id":"https://openalex.org/subfields/1204","display_name":"Archeology"},"field":{"id":"https://openalex.org/fields/12","display_name":"Arts and Humanities"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T10191","display_name":"Robotics and Sensor-Based Localization","score":0.973800003528595,"subfield":{"id":"https://openalex.org/subfields/2202","display_name":"Aerospace Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/convolution","display_name":"Convolution (computer science)","score":0.8249251842498779},{"id":"https://openalex.org/keywords/synthetic-aperture-radar","display_name":"Synthetic aperture radar","score":0.7361950874328613},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6839905381202698},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.6460583806037903},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.605299711227417},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6034722924232483},{"id":"https://openalex.org/keywords/scale","display_name":"Scale (ratio)","score":0.511405885219574},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.49372968077659607},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.4265044629573822},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.39677852392196655},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.2918112874031067},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.07415744662284851}],"concepts":[{"id":"https://openalex.org/C45347329","wikidata":"https://www.wikidata.org/wiki/Q5166604","display_name":"Convolution (computer science)","level":3,"score":0.8249251842498779},{"id":"https://openalex.org/C87360688","wikidata":"https://www.wikidata.org/wiki/Q740686","display_name":"Synthetic aperture radar","level":2,"score":0.7361950874328613},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6839905381202698},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.6460583806037903},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.605299711227417},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6034722924232483},{"id":"https://openalex.org/C2778755073","wikidata":"https://www.wikidata.org/wiki/Q10858537","display_name":"Scale (ratio)","level":2,"score":0.511405885219574},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.49372968077659607},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.4265044629573822},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.39677852392196655},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.2918112874031067},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.07415744662284851},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/igarss52108.2023.10282798","is_oa":false,"landing_page_url":"https://doi.org/10.1109/igarss52108.2023.10282798","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IGARSS 2023 - 2023 IEEE International Geoscience and Remote Sensing Symposium","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/14","score":0.4300000071525574,"display_name":"Life below water"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":9,"referenced_works":["https://openalex.org/W1970764305","https://openalex.org/W2601564443","https://openalex.org/W2942150053","https://openalex.org/W2963857746","https://openalex.org/W2981864880","https://openalex.org/W3038948729","https://openalex.org/W3089780760","https://openalex.org/W3200733355","https://openalex.org/W4285095071"],"related_works":["https://openalex.org/W4293226380","https://openalex.org/W4313906399","https://openalex.org/W4321487865","https://openalex.org/W2811106690","https://openalex.org/W4239306820","https://openalex.org/W2947043951","https://openalex.org/W2318112981","https://openalex.org/W3088721469","https://openalex.org/W2964954556","https://openalex.org/W3019910406"],"abstract_inverted_index":{"Ship":[0],"detection":[1],"from":[2],"Synthetic":[3],"Aperture":[4],"Radar":[5],"(SAR)":[6],"images":[7],"is":[8,34,131],"of":[9,15,22,49,56,86,107,150,153],"great":[10],"importance.":[11],"However,":[12],"the":[13,20,68,81,90,97,104,134,148,151,154],"diversity":[14],"ship":[16,99],"target":[17],"scales":[18],"increases":[19],"difficulty":[21],"detection.":[23],"To":[24],"solve":[25],"this":[26],"problem,":[27],"we":[28,76,142,156],"propose":[29],"a":[30,127],"novel":[31],"FPN":[32],"which":[33],"enhanced":[35],"by":[36,138],"de-formable":[37],"convo-lution,":[38],"called":[39],"Deform-FPN.":[40],"Deformable":[41],"convolution":[42,65,79],"realizes":[43],"multi-scale":[44,54],"adaptive":[45],"geometric":[46],"deformation":[47],"modeling":[48],"ships,":[50],"and":[51,71,83],"can":[52],"extract":[53],"features":[55],"ships":[57],"with":[58],"strong":[59],"ex-pression":[60],"ability.":[61,93],"The":[62,120],"multi-level":[63],"deformable":[64,78],"layers":[66],"enhance":[67],"feature":[69,72,91],"extraction":[70,92],"fusion":[73],"capabilities.":[74],"Specifically,":[75],"add":[77],"to":[80,88,111,133,146],"backbone":[82],"lateral":[84],"connection":[85],"Deform-FPN":[87,125,155],"improve":[89],"Experimental":[94],"results":[95,122],"on":[96,115],"SAR":[98],"detec-tion":[100],"dataset":[101],"(SSDD)":[102],"reveal":[103],"state-of-the-art":[105],"performance":[106],"Deform-FPN,":[108],"in":[109],"contrast":[110],"other":[112],"methods":[113],"based":[114],"convolu-tional":[116],"neural":[117],"network":[118],"(CNN).":[119],"experimental":[121],"show":[123],"that":[124,130],"offers":[126],"56.5%":[128],"mAP":[129],"superior":[132],"suboptimal":[135],"model":[136],"DCN":[137],"1.5%.":[139],"In":[140],"addition,":[141],"conducted":[143],"ablation":[144],"experiments":[145],"verify":[147],"effectiveness":[149],"structure":[152],"proposed.":[157]},"counts_by_year":[{"year":2025,"cited_by_count":5},{"year":2024,"cited_by_count":6}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
