{"id":"https://openalex.org/W6940867398","doi":"https://doi.org/10.1109/jstars.2025.3555330","title":"Toward Better Accuracy-Efficiency Tradeoffs for Oriented SAR Ship Object Detection","display_name":"Toward Better Accuracy-Efficiency Tradeoffs for Oriented SAR Ship Object Detection","publication_year":2025,"publication_date":"2025-01-01","ids":{"openalex":"https://openalex.org/W6940867398","doi":"https://doi.org/10.1109/jstars.2025.3555330"},"language":"en","primary_location":{"id":"doi:10.1109/jstars.2025.3555330","is_oa":true,"landing_page_url":"https://doi.org/10.1109/jstars.2025.3555330","pdf_url":null,"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://doi.org/10.1109/jstars.2025.3555330","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":null,"display_name":"Moran Ju","orcid":"https://orcid.org/0000-0002-3158-4956"},"institutions":[{"id":"https://openalex.org/I43313876","display_name":"Dalian Maritime University","ror":"https://ror.org/002b7nr53","country_code":"CN","type":"education","lineage":["https://openalex.org/I43313876"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Moran Ju","raw_affiliation_strings":["College of Information Science and Technology, Dalian Maritime University, Dalian, China"],"raw_orcid":"https://orcid.org/0000-0002-3158-4956","affiliations":[{"raw_affiliation_string":"College of Information Science and Technology, Dalian Maritime University, Dalian, China","institution_ids":["https://openalex.org/I43313876"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Buniu Niu","orcid":"https://orcid.org/0009-0004-2472-959X"},"institutions":[{"id":"https://openalex.org/I43313876","display_name":"Dalian Maritime University","ror":"https://ror.org/002b7nr53","country_code":"CN","type":"education","lineage":["https://openalex.org/I43313876"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Buniu Niu","raw_affiliation_strings":["College of Information Science and Technology, Dalian Maritime University, Dalian, China"],"raw_orcid":"https://orcid.org/0009-0004-2472-959X","affiliations":[{"raw_affiliation_string":"College of Information Science and Technology, Dalian Maritime University, Dalian, China","institution_ids":["https://openalex.org/I43313876"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Mulin Li","orcid":"https://orcid.org/0009-0009-6744-294X"},"institutions":[{"id":"https://openalex.org/I43313876","display_name":"Dalian Maritime University","ror":"https://ror.org/002b7nr53","country_code":"CN","type":"education","lineage":["https://openalex.org/I43313876"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Mulin Li","raw_affiliation_strings":["College of Information Science and Technology, Dalian Maritime University, Dalian, China"],"raw_orcid":"https://orcid.org/0009-0009-6744-294X","affiliations":[{"raw_affiliation_string":"College of Information Science and Technology, Dalian Maritime University, Dalian, China","institution_ids":["https://openalex.org/I43313876"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Tengkai Mao","orcid":"https://orcid.org/0009-0002-7044-0733"},"institutions":[{"id":"https://openalex.org/I43313876","display_name":"Dalian Maritime University","ror":"https://ror.org/002b7nr53","country_code":"CN","type":"education","lineage":["https://openalex.org/I43313876"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Tengkai Mao","raw_affiliation_strings":["College of Information Science and Technology, Dalian Maritime University, Dalian, China"],"raw_orcid":"https://orcid.org/0009-0002-7044-0733","affiliations":[{"raw_affiliation_string":"College of Information Science and Technology, Dalian Maritime University, Dalian, China","institution_ids":["https://openalex.org/I43313876"]}]},{"author_position":"last","author":{"id":null,"display_name":"Si-nian Jin","orcid":"https://orcid.org/0000-0003-3226-365X"},"institutions":[{"id":"https://openalex.org/I43313876","display_name":"Dalian Maritime University","ror":"https://ror.org/002b7nr53","country_code":"CN","type":"education","lineage":["https://openalex.org/I43313876"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Si-nian Jin","raw_affiliation_strings":["College of Information Science and Technology, Dalian Maritime University, Dalian, China"],"raw_orcid":"https://orcid.org/0000-0003-3226-365X","affiliations":[{"raw_affiliation_string":"College of Information Science and Technology, Dalian Maritime University, Dalian, China","institution_ids":["https://openalex.org/I43313876"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I43313876"],"apc_list":{"value":1250,"currency":"USD","value_usd":1250},"apc_paid":{"value":1250,"currency":"USD","value_usd":1250},"fwci":2.9278,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.92144727,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":91,"max":98},"biblio":{"volume":"18","issue":null,"first_page":"9666","last_page":"9681"},"is_retracted":false,"is_paratext":false,"is_xpac":true,"primary_topic":{"id":"https://openalex.org/T10451","display_name":"Mycorrhizal Fungi and Plant Interactions","score":0.6531000137329102,"subfield":{"id":"https://openalex.org/subfields/1110","display_name":"Plant Science"},"field":{"id":"https://openalex.org/fields/11","display_name":"Agricultural and Biological Sciences"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},"topics":[{"id":"https://openalex.org/T10451","display_name":"Mycorrhizal Fungi and Plant Interactions","score":0.6531000137329102,"subfield":{"id":"https://openalex.org/subfields/1110","display_name":"Plant Science"},"field":{"id":"https://openalex.org/fields/11","display_name":"Agricultural and Biological Sciences"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},{"id":"https://openalex.org/T10015","display_name":"Genomics and Phylogenetic Studies","score":0.08820000290870667,"subfield":{"id":"https://openalex.org/subfields/1312","display_name":"Molecular Biology"},"field":{"id":"https://openalex.org/fields/13","display_name":"Biochemistry, Genetics and Molecular Biology"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},{"id":"https://openalex.org/T10825","display_name":"Plant Pathogens and Fungal Diseases","score":0.048900000751018524,"subfield":{"id":"https://openalex.org/subfields/1307","display_name":"Cell Biology"},"field":{"id":"https://openalex.org/fields/13","display_name":"Biochemistry, Genetics and Molecular Biology"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/object-detection","display_name":"Object detection","score":0.6222000122070312},{"id":"https://openalex.org/keywords/synthetic-aperture-radar","display_name":"Synthetic aperture radar","score":0.5526999831199646},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.48899999260902405},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.4535999894142151},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.4302999973297119},{"id":"https://openalex.org/keywords/minimum-bounding-box","display_name":"Minimum bounding box","score":0.4147999882698059},{"id":"https://openalex.org/keywords/offset","display_name":"Offset (computer science)","score":0.39730000495910645},{"id":"https://openalex.org/keywords/detector","display_name":"Detector","score":0.37959998846054077},{"id":"https://openalex.org/keywords/network-architecture","display_name":"Network architecture","score":0.3752000033855438}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8181999921798706},{"id":"https://openalex.org/C2776151529","wikidata":"https://www.wikidata.org/wiki/Q3045304","display_name":"Object detection","level":3,"score":0.6222000122070312},{"id":"https://openalex.org/C87360688","wikidata":"https://www.wikidata.org/wiki/Q740686","display_name":"Synthetic aperture radar","level":2,"score":0.5526999831199646},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5152000188827515},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.48899999260902405},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.4535999894142151},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.4311000108718872},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.4302999973297119},{"id":"https://openalex.org/C147037132","wikidata":"https://www.wikidata.org/wiki/Q6865426","display_name":"Minimum bounding box","level":3,"score":0.4147999882698059},{"id":"https://openalex.org/C175291020","wikidata":"https://www.wikidata.org/wiki/Q1156822","display_name":"Offset (computer science)","level":2,"score":0.39730000495910645},{"id":"https://openalex.org/C94915269","wikidata":"https://www.wikidata.org/wiki/Q1834857","display_name":"Detector","level":2,"score":0.37959998846054077},{"id":"https://openalex.org/C193415008","wikidata":"https://www.wikidata.org/wiki/Q639681","display_name":"Network architecture","level":2,"score":0.3752000033855438},{"id":"https://openalex.org/C118505674","wikidata":"https://www.wikidata.org/wiki/Q42586063","display_name":"Encoder","level":2,"score":0.36559998989105225},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.36070001125335693},{"id":"https://openalex.org/C63584917","wikidata":"https://www.wikidata.org/wiki/Q333286","display_name":"Bounding overwatch","level":2,"score":0.3546000123023987},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.33889999985694885},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.32420000433921814},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.3174999952316284},{"id":"https://openalex.org/C2776214188","wikidata":"https://www.wikidata.org/wiki/Q408386","display_name":"Inference","level":2,"score":0.3089999854564667},{"id":"https://openalex.org/C2779726219","wikidata":"https://www.wikidata.org/wiki/Q7685884","display_name":"Target acquisition","level":2,"score":0.29510000348091125},{"id":"https://openalex.org/C104122410","wikidata":"https://www.wikidata.org/wiki/Q1416406","display_name":"Network model","level":2,"score":0.2867000102996826},{"id":"https://openalex.org/C67186912","wikidata":"https://www.wikidata.org/wiki/Q367664","display_name":"Data modeling","level":2,"score":0.2865999937057495},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.2833999991416931},{"id":"https://openalex.org/C148483581","wikidata":"https://www.wikidata.org/wiki/Q446488","display_name":"Feature selection","level":2,"score":0.28119999170303345},{"id":"https://openalex.org/C2778827112","wikidata":"https://www.wikidata.org/wiki/Q22245680","display_name":"Feature engineering","level":3,"score":0.28040000796318054},{"id":"https://openalex.org/C110384440","wikidata":"https://www.wikidata.org/wiki/Q1143270","display_name":"Upsampling","level":3,"score":0.27619999647140503},{"id":"https://openalex.org/C38858127","wikidata":"https://www.wikidata.org/wiki/Q5441228","display_name":"Feed forward","level":2,"score":0.27250000834465027},{"id":"https://openalex.org/C739882","wikidata":"https://www.wikidata.org/wiki/Q3560506","display_name":"Anomaly detection","level":2,"score":0.2653000056743622},{"id":"https://openalex.org/C32283439","wikidata":"https://www.wikidata.org/wiki/Q1407014","display_name":"Radar tracker","level":3,"score":0.26179999113082886},{"id":"https://openalex.org/C31395832","wikidata":"https://www.wikidata.org/wiki/Q1318674","display_name":"Testbed","level":2,"score":0.2549999952316284}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/jstars.2025.3555330","is_oa":true,"landing_page_url":"https://doi.org/10.1109/jstars.2025.3555330","pdf_url":null,"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:40bbdc09fbf848cea62c1982527b9e30","is_oa":true,"landing_page_url":"https://doaj.org/article/40bbdc09fbf848cea62c1982527b9e30","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 18, Pp 9666-9681 (2025)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1109/jstars.2025.3555330","is_oa":true,"landing_page_url":"https://doi.org/10.1109/jstars.2025.3555330","pdf_url":null,"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/G3194591783","display_name":null,"funder_award_id":"JYTMS20230171","funder_id":"https://openalex.org/F4320327799","funder_display_name":"Scientific Research Fund of Liaoning Provincial Education Department"},{"id":"https://openalex.org/G3945906617","display_name":null,"funder_award_id":"62201114","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G707253580","display_name":null,"funder_award_id":"JYTMS20230176","funder_id":"https://openalex.org/F4320327799","funder_display_name":"Scientific Research Fund of Liaoning Provincial Education Department"},{"id":"https://openalex.org/G7154130301","display_name":null,"funder_award_id":"62301108","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"},{"id":"https://openalex.org/F4320327799","display_name":"Scientific Research Fund of Liaoning Provincial Education Department","ror":null}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":60,"referenced_works":["https://openalex.org/W1955830868","https://openalex.org/W2011247596","https://openalex.org/W2031489346","https://openalex.org/W2171882806","https://openalex.org/W2565960758","https://openalex.org/W2946589087","https://openalex.org/W2963163009","https://openalex.org/W2963351448","https://openalex.org/W2964081807","https://openalex.org/W2964979676","https://openalex.org/W2967733054","https://openalex.org/W2981864880","https://openalex.org/W2991363140","https://openalex.org/W3012573144","https://openalex.org/W3031154432","https://openalex.org/W3044680161","https://openalex.org/W3093319256","https://openalex.org/W3096533519","https://openalex.org/W3096609285","https://openalex.org/W3101476123","https://openalex.org/W3107474049","https://openalex.org/W3136761610","https://openalex.org/W3138516171","https://openalex.org/W3170033848","https://openalex.org/W3173430213","https://openalex.org/W3174873843","https://openalex.org/W3180954604","https://openalex.org/W3197704289","https://openalex.org/W3200733355","https://openalex.org/W3202175399","https://openalex.org/W3204801262","https://openalex.org/W3205156060","https://openalex.org/W3210550848","https://openalex.org/W3216118548","https://openalex.org/W4205338556","https://openalex.org/W4206351484","https://openalex.org/W4214648418","https://openalex.org/W4224239645","https://openalex.org/W4225268843","https://openalex.org/W4225833008","https://openalex.org/W4283800076","https://openalex.org/W4285029564","https://openalex.org/W4285294301","https://openalex.org/W4297775537","https://openalex.org/W4312804579","https://openalex.org/W4313047844","https://openalex.org/W4366425245","https://openalex.org/W4383220189","https://openalex.org/W4386071638","https://openalex.org/W4387623847","https://openalex.org/W4390873678","https://openalex.org/W4390873750","https://openalex.org/W4404090460","https://openalex.org/W6748057086","https://openalex.org/W6752515464","https://openalex.org/W6760424586","https://openalex.org/W6779586474","https://openalex.org/W6784094891","https://openalex.org/W6798838024","https://openalex.org/W6809665764"],"related_works":[],"abstract_inverted_index":{"In":[0,81],"oriented":[1,64,104,109,145],"synthetic":[2],"aperture":[3],"radar":[4],"(SAR)":[5],"ship":[6,106,189],"detection":[7,18,41,66,213],"task,":[8,42,67],"convolutional":[9],"neural":[10,88],"network":[11,70,169,173],"based":[12,91],"detectors":[13],"have":[14,35],"dramatically":[15],"improved":[16],"the":[17,69,127,150],"performance,":[19],"but":[20,210],"enormous":[21],"parameters":[22],"make":[23],"it":[24],"difficult":[25],"to":[26,63,120,133,148,160,170,185,228],"realize":[27,134],"model":[28,44,55],"lightweighting.":[29,56],"Recently,":[30],"DETR":[31,99,205],"and":[32,76,114,126,136,192,207,224,234,241],"its":[33],"variants":[34],"demonstrated":[36],"excellent":[37],"performance":[38,220],"in":[39,52,94,116,237],"object":[40,65],"while":[43,68],"construction":[45],"through":[46],"linear":[47],"layers":[48],"has":[49],"great":[50],"potential":[51,188],"terms":[53],"of":[54,139,152,157],"However,":[57],"DETR-based":[58],"models":[59,201,217],"are":[60,112],"rarely":[61],"applied":[62],"structure":[71],"relies":[72],"on":[73,221],"manual":[74],"experience":[75],"cannot":[77],"be":[78],"designed":[79],"automatically.":[80],"this":[82],"article,":[83],"we":[84,142,164,178],"propose":[85],"a":[86,154,166],"novel":[87],"architecture":[89],"search":[90,101],"lightweight":[92,137],"detector":[93],"polar":[95,117],"coordinate":[96,118],"system":[97,119],"with":[98,122,232,239],"as":[100,182],"space":[102],"for":[103],"SAR":[105],"detection,":[107,209],"where":[108],"bounding":[110],"boxes":[111],"encoded":[113],"decoded":[115],"cope":[121],"boundary":[123],"discontinuity":[124],"problems,":[125],"weight":[128],"entanglement":[129],"strategy":[130],"is":[131],"adopted":[132],"automatic":[135],"design":[138,143],"DETR.":[140],"Meanwhile,":[141],"an":[144],"multiscale":[146],"attention":[147],"alleviate":[149],"problem":[151],"sampling":[153],"large":[155],"amount":[156],"background":[158],"due":[159],"offset":[161],"learning.":[162,195],"Furthermore,":[163],"introduce":[165],"downsampling":[167],"feedforward":[168],"significantly":[171],"reduce":[172],"floating":[174],"point":[175],"operations.":[176],"Finally,":[177],"transplant":[179],"FPDDet":[180],"head":[181,184],"auxiliary":[183],"improve":[186,212],"encoder":[187],"feature":[190],"learning":[191],"decoder":[193],"cross-attention":[194],"Experimental":[196],"results":[197],"show":[198],"that":[199],"our":[200],"not":[202],"only":[203],"achieve":[204,218],"lightweighting":[206],"real-time":[208],"also":[211],"performance.":[214],"Our":[215],"base":[216],"state-of-the-art":[219],"both":[222],"RSSDD":[223],"RSDD":[225],"datasets":[226],"compared":[227],"previous":[229],"best":[230],"models,":[231],"1.36%":[233],"2.28%":[235],"improvement":[236],"mAP":[238],"32.67":[240],"32.14":[242],"GFLOPs,":[243],"respectively.":[244]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":1}],"updated_date":"2026-05-06T08:25:59.206177","created_date":"2025-10-10T00:00:00"}
