{"id":"https://openalex.org/W4379983825","doi":"https://doi.org/10.1109/jstars.2023.3284667","title":"A Semisupervised Arbitrary-Oriented SAR Ship Detection Network Based on Interference Consistency Learning and Pseudolabel Calibration","display_name":"A Semisupervised Arbitrary-Oriented SAR Ship Detection Network Based on Interference Consistency Learning and Pseudolabel Calibration","publication_year":2023,"publication_date":"2023-01-01","ids":{"openalex":"https://openalex.org/W4379983825","doi":"https://doi.org/10.1109/jstars.2023.3284667"},"language":"en","primary_location":{"id":"doi:10.1109/jstars.2023.3284667","is_oa":true,"landing_page_url":"https://doi.org/10.1109/jstars.2023.3284667","pdf_url":"https://ieeexplore.ieee.org/ielx7/4609443/4609444/10147338.pdf","source":{"id":"https://openalex.org/S117727964","display_name":"IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing","issn_l":"1939-1404","issn":["1939-1404","2151-1535"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://ieeexplore.ieee.org/ielx7/4609443/4609444/10147338.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5012286535","display_name":"Yue Zhou","orcid":"https://orcid.org/0000-0002-3080-6721"},"institutions":[{"id":"https://openalex.org/I183067930","display_name":"Shanghai Jiao Tong University","ror":"https://ror.org/0220qvk04","country_code":"CN","type":"education","lineage":["https://openalex.org/I183067930"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yue Zhou","raw_affiliation_strings":["School of Electronic Information and Electrical Engineering, Shanghai Jiao Tong University, Shanghai, China"],"raw_orcid":"https://orcid.org/0000-0002-3080-6721","affiliations":[{"raw_affiliation_string":"School of Electronic Information and Electrical Engineering, Shanghai Jiao Tong University, Shanghai, China","institution_ids":["https://openalex.org/I183067930"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5074129836","display_name":"Xue Jiang","orcid":"https://orcid.org/0000-0001-7099-6817"},"institutions":[{"id":"https://openalex.org/I183067930","display_name":"Shanghai Jiao Tong University","ror":"https://ror.org/0220qvk04","country_code":"CN","type":"education","lineage":["https://openalex.org/I183067930"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xue Jiang","raw_affiliation_strings":["School of Electronic Information and Electrical Engineering, Shanghai Jiao Tong University, Shanghai, China"],"raw_orcid":"https://orcid.org/0000-0001-7099-6817","affiliations":[{"raw_affiliation_string":"School of Electronic Information and Electrical Engineering, Shanghai Jiao Tong University, Shanghai, China","institution_ids":["https://openalex.org/I183067930"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5021574351","display_name":"Zeming Chen","orcid":"https://orcid.org/0000-0002-2389-6968"},"institutions":[{"id":"https://openalex.org/I3131625388","display_name":"University Town of Shenzhen","ror":"https://ror.org/05f5j6225","country_code":"CN","type":"education","lineage":["https://openalex.org/I3131625388"]},{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zeming Chen","raw_affiliation_strings":["Shenzhen International Graduate School, Tsinghua University, Shenzhen, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Shenzhen International Graduate School, Tsinghua University, Shenzhen, China","institution_ids":["https://openalex.org/I3131625388","https://openalex.org/I99065089"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100746862","display_name":"Lin Chen","orcid":"https://orcid.org/0000-0001-5144-7855"},"institutions":[{"id":"https://openalex.org/I183067930","display_name":"Shanghai Jiao Tong University","ror":"https://ror.org/0220qvk04","country_code":"CN","type":"education","lineage":["https://openalex.org/I183067930"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Lin Chen","raw_affiliation_strings":["School of Electronic Information and Electrical Engineering, Shanghai Jiao Tong University, Shanghai, China"],"raw_orcid":"https://orcid.org/0000-0001-5144-7855","affiliations":[{"raw_affiliation_string":"School of Electronic Information and Electrical Engineering, Shanghai Jiao Tong University, Shanghai, China","institution_ids":["https://openalex.org/I183067930"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5061319150","display_name":"Xingzhao Liu","orcid":"https://orcid.org/0000-0002-4533-3904"},"institutions":[{"id":"https://openalex.org/I183067930","display_name":"Shanghai Jiao Tong University","ror":"https://ror.org/0220qvk04","country_code":"CN","type":"education","lineage":["https://openalex.org/I183067930"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xingzhao Liu","raw_affiliation_strings":["School of Electronic Information and Electrical Engineering, Shanghai Jiao Tong University, Shanghai, China"],"raw_orcid":"https://orcid.org/0000-0002-4533-3904","affiliations":[{"raw_affiliation_string":"School of Electronic Information and Electrical Engineering, Shanghai Jiao Tong University, Shanghai, China","institution_ids":["https://openalex.org/I183067930"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":{"value":1250,"currency":"USD","value_usd":1250},"apc_paid":{"value":1250,"currency":"USD","value_usd":1250},"fwci":2.1272,"has_fulltext":true,"cited_by_count":20,"citation_normalized_percentile":{"value":0.89408724,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":99},"biblio":{"volume":"16","issue":null,"first_page":"5893","last_page":"5904"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10036","display_name":"Advanced Neural Network Applications","score":0.998199999332428,"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":0.998199999332428,"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/T11307","display_name":"Domain Adaptation and Few-Shot Learning","score":0.9943000078201294,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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/T11038","display_name":"Advanced SAR Imaging Techniques","score":0.9835000038146973,"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/computer-science","display_name":"Computer science","score":0.8216552138328552},{"id":"https://openalex.org/keywords/synthetic-aperture-radar","display_name":"Synthetic aperture radar","score":0.6672368049621582},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6173650622367859},{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.6103672981262207},{"id":"https://openalex.org/keywords/bottleneck","display_name":"Bottleneck","score":0.5874423384666443},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.5192137360572815},{"id":"https://openalex.org/keywords/consistency","display_name":"Consistency (knowledge bases)","score":0.5054490566253662},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4634314477443695},{"id":"https://openalex.org/keywords/field","display_name":"Field (mathematics)","score":0.4286404550075531},{"id":"https://openalex.org/keywords/interference","display_name":"Interference (communication)","score":0.41782698035240173},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.4143248200416565},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3563303053379059}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8216552138328552},{"id":"https://openalex.org/C87360688","wikidata":"https://www.wikidata.org/wiki/Q740686","display_name":"Synthetic aperture radar","level":2,"score":0.6672368049621582},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6173650622367859},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.6103672981262207},{"id":"https://openalex.org/C2780513914","wikidata":"https://www.wikidata.org/wiki/Q18210350","display_name":"Bottleneck","level":2,"score":0.5874423384666443},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.5192137360572815},{"id":"https://openalex.org/C2776436953","wikidata":"https://www.wikidata.org/wiki/Q5163215","display_name":"Consistency (knowledge bases)","level":2,"score":0.5054490566253662},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4634314477443695},{"id":"https://openalex.org/C9652623","wikidata":"https://www.wikidata.org/wiki/Q190109","display_name":"Field (mathematics)","level":2,"score":0.4286404550075531},{"id":"https://openalex.org/C32022120","wikidata":"https://www.wikidata.org/wiki/Q797225","display_name":"Interference (communication)","level":3,"score":0.41782698035240173},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.4143248200416565},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3563303053379059},{"id":"https://openalex.org/C202444582","wikidata":"https://www.wikidata.org/wiki/Q837863","display_name":"Pure mathematics","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/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0},{"id":"https://openalex.org/C149635348","wikidata":"https://www.wikidata.org/wiki/Q193040","display_name":"Embedded system","level":1,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0},{"id":"https://openalex.org/C127162648","wikidata":"https://www.wikidata.org/wiki/Q16858953","display_name":"Channel (broadcasting)","level":2,"score":0.0},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/jstars.2023.3284667","is_oa":true,"landing_page_url":"https://doi.org/10.1109/jstars.2023.3284667","pdf_url":"https://ieeexplore.ieee.org/ielx7/4609443/4609444/10147338.pdf","source":{"id":"https://openalex.org/S117727964","display_name":"IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing","issn_l":"1939-1404","issn":["1939-1404","2151-1535"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:1efde182fa81417f85324f2c5ab8ea0b","is_oa":true,"landing_page_url":"https://doaj.org/article/1efde182fa81417f85324f2c5ab8ea0b","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 16, Pp 5893-5904 (2023)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1109/jstars.2023.3284667","is_oa":true,"landing_page_url":"https://doi.org/10.1109/jstars.2023.3284667","pdf_url":"https://ieeexplore.ieee.org/ielx7/4609443/4609444/10147338.pdf","source":{"id":"https://openalex.org/S117727964","display_name":"IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing","issn_l":"1939-1404","issn":["1939-1404","2151-1535"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G2463320017","display_name":null,"funder_award_id":"61971279","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G6895605005","display_name":null,"funder_award_id":"62022054","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G7565187763","display_name":null,"funder_award_id":"U2230201","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4379983825.pdf","grobid_xml":"https://content.openalex.org/works/W4379983825.grobid-xml"},"referenced_works_count":55,"referenced_works":["https://openalex.org/W639708223","https://openalex.org/W2133504205","https://openalex.org/W2551083396","https://openalex.org/W2565960758","https://openalex.org/W2592691248","https://openalex.org/W2665089225","https://openalex.org/W2770947844","https://openalex.org/W2789845891","https://openalex.org/W2799644858","https://openalex.org/W2809395972","https://openalex.org/W2884561390","https://openalex.org/W2889346359","https://openalex.org/W2913527107","https://openalex.org/W2951013084","https://openalex.org/W2953070460","https://openalex.org/W2953303055","https://openalex.org/W2955454611","https://openalex.org/W2963037989","https://openalex.org/W2970369250","https://openalex.org/W2988591609","https://openalex.org/W2991359031","https://openalex.org/W3015363211","https://openalex.org/W3017373943","https://openalex.org/W3021542222","https://openalex.org/W3032837604","https://openalex.org/W3033996275","https://openalex.org/W3037440390","https://openalex.org/W3038948729","https://openalex.org/W3047443805","https://openalex.org/W3048631361","https://openalex.org/W3089780760","https://openalex.org/W3102692100","https://openalex.org/W3103294617","https://openalex.org/W3103695279","https://openalex.org/W3130848852","https://openalex.org/W3172507542","https://openalex.org/W3184840388","https://openalex.org/W3197704289","https://openalex.org/W3200733355","https://openalex.org/W3206302652","https://openalex.org/W3206322568","https://openalex.org/W4200381407","https://openalex.org/W4206437590","https://openalex.org/W4214648418","https://openalex.org/W4214705290","https://openalex.org/W4225125774","https://openalex.org/W4285265737","https://openalex.org/W4311080910","https://openalex.org/W4313506322","https://openalex.org/W4390873076","https://openalex.org/W4404090460","https://openalex.org/W6757248479","https://openalex.org/W6766773940","https://openalex.org/W6776778719","https://openalex.org/W6801414197"],"related_works":["https://openalex.org/W2595172197","https://openalex.org/W2084856301","https://openalex.org/W2127970246","https://openalex.org/W2885125400","https://openalex.org/W1989889224","https://openalex.org/W4382618745","https://openalex.org/W1973775000","https://openalex.org/W2748922771","https://openalex.org/W1987128138","https://openalex.org/W2743976221"],"abstract_inverted_index":{"The":[0,50],"rapid":[1],"development":[2],"of":[3,12,22,28,33,45,52,60,89,188],"deep":[4,66],"learning":[5,70,143],"cannot":[6],"be":[7],"achieved":[8],"without":[9],"the":[10,26,31,43,58,87,126,131,140,147,152,156,167,171,175,179,182,186,189],"support":[11,27],"abundant":[13],"labeled":[14],"data.":[15],"However,":[16,93],"obtaining":[17],"such":[18],"a":[19,55,73,159],"large":[20],"amount":[21],"annotated":[23],"data":[24,83],"needs":[25],"professionals":[29],"in":[30,57,136,155],"field":[32],"synthetic":[34],"aperture":[35],"radar":[36],"(SAR)":[37],"image":[38],"understanding,":[39],"which":[40,76,105],"leads":[41],"to":[42,84,145,165,170],"scarcity":[44,51],"SAR":[46,61,90,96,121],"datasets":[47],"with":[48],"annotations.":[49],"annotations":[53],"poses":[54],"bottleneck":[56],"performance":[59,88],"ship":[62,91,97,122],"detectors":[63],"based":[64],"on":[65,178],"learning.":[67],"Recently,":[68],"semi-supervised":[69,95,103,118,195],"has":[71,197],"become":[72],"hot":[74],"paradigm,":[75],"can":[77],"mine":[78],"effective":[79],"information":[80],"from":[81,130],"unlabeled":[82],"further":[85],"improve":[86],"detectors.":[92],"existing":[94],"detection":[98],"studies":[99],"all":[100],"adopted":[101],"multi-stage":[102],"frameworks,":[104],"are":[106],"complex":[107,153],"and":[108,181,208],"inefficient.":[109],"In":[110],"this":[111],"article,":[112],"we":[113,138],"first":[114],"design":[115],"an":[116],"end-to-end":[117],"framework":[119],"for":[120],"detection.":[123],"To":[124,150],"overcome":[125],"strong":[127],"interferences":[128],"resulting":[129],"imaging":[132],"or":[133],"quantization":[134],"processes":[135],"SAR,":[137],"Introduce":[139],"interference":[141],"consistency":[142],"mechanism":[144],"enhance":[146],"model's":[148],"robustness.":[149],"solve":[151],"background":[154],"inshore":[157],"scenario,":[158],"pseudo-label":[160,168],"calibration":[161],"network":[162],"is":[163],"designed":[164],"calibrate":[166],"according":[169],"context":[172],"knowledge":[173],"around":[174],"ships.":[176],"Based":[177],"HRSID":[180],"other":[183],"four":[184],"datasets,":[185],"superiority":[187],"proposed":[190],"approach":[191],"over":[192],"several":[193],"state-of-the-art":[194],"frameworks":[196],"been":[198],"evaluated":[199],"under":[200],"various":[201],"labeling":[202],"ratios,":[203],"i.e.,":[204],"1%,":[205],"5%,":[206],"10%,":[207],"100%.":[209]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":4},{"year":2024,"cited_by_count":13},{"year":2023,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}