{"id":"https://openalex.org/W4408354095","doi":"https://doi.org/10.1109/icassp49660.2025.10890187","title":"SAR Ship Detector Using Cross-stage Feature Fusion and Decoupled Head with Mutual Guidance","display_name":"SAR Ship Detector Using Cross-stage Feature Fusion and Decoupled Head with Mutual Guidance","publication_year":2025,"publication_date":"2025-03-12","ids":{"openalex":"https://openalex.org/W4408354095","doi":"https://doi.org/10.1109/icassp49660.2025.10890187"},"language":"en","primary_location":{"id":"doi:10.1109/icassp49660.2025.10890187","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp49660.2025.10890187","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ICASSP 2025 - 2025 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","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/A5063170090","display_name":"Yixin Qiao","orcid":"https://orcid.org/0000-0001-6387-3130"},"institutions":[{"id":"https://openalex.org/I24185976","display_name":"Sichuan University","ror":"https://ror.org/011ashp19","country_code":"CN","type":"education","lineage":["https://openalex.org/I24185976"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Yixin Qiao","raw_affiliation_strings":["Sichuan University,College of Computer Science,China"],"affiliations":[{"raw_affiliation_string":"Sichuan University,College of Computer Science,China","institution_ids":["https://openalex.org/I24185976"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5041754955","display_name":"Xiaoxiao Yin","orcid":null},"institutions":[{"id":"https://openalex.org/I4210120238","display_name":"PowerChina (China)","ror":"https://ror.org/01varr368","country_code":"CN","type":"company","lineage":["https://openalex.org/I4210120238"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiaoxiao Yin","raw_affiliation_strings":["Wuling Power Corporation Limited,Changsha,China"],"affiliations":[{"raw_affiliation_string":"Wuling Power Corporation Limited,Changsha,China","institution_ids":["https://openalex.org/I4210120238"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102864167","display_name":"Xinyuan Zhou","orcid":"https://orcid.org/0000-0003-2815-8857"},"institutions":[{"id":"https://openalex.org/I24185976","display_name":"Sichuan University","ror":"https://ror.org/011ashp19","country_code":"CN","type":"education","lineage":["https://openalex.org/I24185976"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xinyuan Zhou","raw_affiliation_strings":["Sichuan University,College of Computer Science,China"],"affiliations":[{"raw_affiliation_string":"Sichuan University,College of Computer Science,China","institution_ids":["https://openalex.org/I24185976"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5032662894","display_name":"Shiyong Lan","orcid":"https://orcid.org/0000-0002-7109-9170"},"institutions":[{"id":"https://openalex.org/I24185976","display_name":"Sichuan University","ror":"https://ror.org/011ashp19","country_code":"CN","type":"education","lineage":["https://openalex.org/I24185976"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shiyong Lan","raw_affiliation_strings":["Sichuan University,College of Computer Science,China"],"affiliations":[{"raw_affiliation_string":"Sichuan University,College of Computer Science,China","institution_ids":["https://openalex.org/I24185976"]}]},{"author_position":"last","author":{"id":null,"display_name":"Guonan Deng","orcid":null},"institutions":[{"id":"https://openalex.org/I24185976","display_name":"Sichuan University","ror":"https://ror.org/011ashp19","country_code":"CN","type":"education","lineage":["https://openalex.org/I24185976"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Guonan Deng","raw_affiliation_strings":["Sichuan University,College of Computer Science,China"],"affiliations":[{"raw_affiliation_string":"Sichuan University,College of Computer Science,China","institution_ids":["https://openalex.org/I24185976"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5063170090"],"corresponding_institution_ids":["https://openalex.org/I24185976"],"apc_list":null,"apc_paid":null,"fwci":4.8743,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.93019695,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":91,"max":95},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"5"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11038","display_name":"Advanced SAR Imaging Techniques","score":0.9577999711036682,"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"}},"topics":[{"id":"https://openalex.org/T11038","display_name":"Advanced SAR Imaging Techniques","score":0.9577999711036682,"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"}},{"id":"https://openalex.org/T12389","display_name":"Infrared Target Detection Methodologies","score":0.9419999718666077,"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"}},{"id":"https://openalex.org/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.9365000128746033,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/stage","display_name":"Stage (stratigraphy)","score":0.6225538849830627},{"id":"https://openalex.org/keywords/head","display_name":"Head (geology)","score":0.6147414445877075},{"id":"https://openalex.org/keywords/detector","display_name":"Detector","score":0.6135796308517456},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.613345742225647},{"id":"https://openalex.org/keywords/fusion","display_name":"Fusion","score":0.5261775255203247},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4753812849521637},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.4403705596923828},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.40861180424690247},{"id":"https://openalex.org/keywords/geology","display_name":"Geology","score":0.16030028462409973},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.1270475685596466}],"concepts":[{"id":"https://openalex.org/C146357865","wikidata":"https://www.wikidata.org/wiki/Q1123245","display_name":"Stage (stratigraphy)","level":2,"score":0.6225538849830627},{"id":"https://openalex.org/C2780312720","wikidata":"https://www.wikidata.org/wiki/Q5689100","display_name":"Head (geology)","level":2,"score":0.6147414445877075},{"id":"https://openalex.org/C94915269","wikidata":"https://www.wikidata.org/wiki/Q1834857","display_name":"Detector","level":2,"score":0.6135796308517456},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.613345742225647},{"id":"https://openalex.org/C158525013","wikidata":"https://www.wikidata.org/wiki/Q2593739","display_name":"Fusion","level":2,"score":0.5261775255203247},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4753812849521637},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.4403705596923828},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.40861180424690247},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.16030028462409973},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.1270475685596466},{"id":"https://openalex.org/C114793014","wikidata":"https://www.wikidata.org/wiki/Q52109","display_name":"Geomorphology","level":1,"score":0.0},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","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},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icassp49660.2025.10890187","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp49660.2025.10890187","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ICASSP 2025 - 2025 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320322990","display_name":"Sichuan University","ror":"https://ror.org/011ashp19"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":19,"referenced_works":["https://openalex.org/W639708223","https://openalex.org/W2193145675","https://openalex.org/W2601564443","https://openalex.org/W2952122856","https://openalex.org/W2963150697","https://openalex.org/W2963351448","https://openalex.org/W2966926453","https://openalex.org/W2982770724","https://openalex.org/W3035396860","https://openalex.org/W3200733355","https://openalex.org/W4289752563","https://openalex.org/W4361285851","https://openalex.org/W4378714546","https://openalex.org/W4378906333","https://openalex.org/W4380080321","https://openalex.org/W4385422915","https://openalex.org/W4386076325","https://openalex.org/W4386596831","https://openalex.org/W4392450192"],"related_works":["https://openalex.org/W2366906938","https://openalex.org/W2329386257","https://openalex.org/W2349391998","https://openalex.org/W4205655149","https://openalex.org/W2503350049","https://openalex.org/W2000775715","https://openalex.org/W3097502728","https://openalex.org/W2074467390","https://openalex.org/W2397616145","https://openalex.org/W2795393339"],"abstract_inverted_index":{"Deep":[0],"learning-based":[1],"SAR":[2,39],"ship":[3,23,100],"detection":[4,24],"methods":[5],"enhance":[6],"resilience":[7],"to":[8,47,56,80,94,96,111,148,184],"noise,":[9,52],"distortion,":[10],"and":[11,70,132,154],"interference":[12],"in":[13,30,38,68],"ocean":[14],"environments,":[15],"establishing":[16],"them":[17,54],"as":[18],"the":[19,34,48,85,91,97,103,122,134,141,159,163,179],"foremost":[20],"approach":[21],"for":[22],"nowadays.":[25],"Nonetheless,":[26],"substantial":[27],"difficulties":[28],"persist":[29],"separating":[31],"ships":[32,43],"from":[33],"complex":[35,137],"backgrounds":[36],"found":[37],"images:":[40],"1)":[41],"Many":[42],"are":[44],"highly":[45],"similar":[46],"sea":[49],"surface":[50],"clutter":[51],"making":[53],"susceptible":[55],"false":[57],"alarms;":[58],"2)":[59],"Ship":[60],"targets":[61],"exhibit":[62],"a":[63,77],"wide":[64],"range":[65],"of":[66,99,124,136,162],"variations":[67],"size":[69],"shape.":[71],"In":[72],"this":[73],"paper,":[74],"we":[75],"propose":[76],"novel":[78],"network":[79,93],"address":[81],"above":[82],"problems.":[83],"Firstly,":[84],"deformable":[86],"convolution":[87],"is":[88,109,146],"incorporated":[89],"into":[90],"backbone":[92],"adapt":[95],"wide-range":[98],"shapes.":[101],"Secondly,":[102],"cross-stage":[104],"feature":[105,130,164],"fusion":[106],"module":[107],"(CSFFM)":[108],"introduced":[110],"realize":[112],"local":[113],"self-supervised":[114],"interaction":[115],"between":[116,128,152],"two":[117],"adjacent":[118],"layers,":[119],"thereby":[120],"reducing":[121],"impact":[123],"receptive":[125],"field":[126],"differences":[127],"different":[129],"layers":[131],"mitigating":[133],"influence":[135],"background":[138],"noise.":[139],"Finally,":[140],"mutually":[142],"guided":[143],"decoupled-head":[144],"(MGDH)":[145],"designed":[147],"achieve":[149],"mutual":[150],"guidance":[151],"classification":[153],"regression,":[155],"thus":[156],"further":[157],"enhancing":[158],"significant":[160],"regions":[161],"maps.":[165],"Through":[166],"extensive":[167],"experiments,":[168],"it":[169],"has":[170,177],"been":[171],"verified":[172],"that":[173],"our":[174],"proposed":[175],"method":[176],"achieved":[178],"most":[180],"promising":[181],"performance":[182],"compared":[183],"well-known":[185],"baselines.":[186],"The":[187],"codes":[188],"will":[189],"be":[190],"available":[191],"at":[192],"https://github.com/SYLan2019/CSFF-MGDH.":[193]},"counts_by_year":[{"year":2025,"cited_by_count":1}],"updated_date":"2026-04-21T08:09:41.155169","created_date":"2025-10-10T00:00:00"}