{"id":"https://openalex.org/W4323317274","doi":"https://doi.org/10.3390/rs15051324","title":"Ship Instance Segmentation Based on Rotated Bounding Boxes for SAR Images","display_name":"Ship Instance Segmentation Based on Rotated Bounding Boxes for SAR Images","publication_year":2023,"publication_date":"2023-02-27","ids":{"openalex":"https://openalex.org/W4323317274","doi":"https://doi.org/10.3390/rs15051324"},"language":"en","primary_location":{"id":"doi:10.3390/rs15051324","is_oa":true,"landing_page_url":"https://doi.org/10.3390/rs15051324","pdf_url":"https://www.mdpi.com/2072-4292/15/5/1324/pdf?version=1677497084","source":{"id":"https://openalex.org/S43295729","display_name":"Remote Sensing","issn_l":"2072-4292","issn":["2072-4292"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Remote Sensing","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.mdpi.com/2072-4292/15/5/1324/pdf?version=1677497084","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5017372852","display_name":"Xinpeng Yang","orcid":"https://orcid.org/0000-0002-5690-0468"},"institutions":[{"id":"https://openalex.org/I149594827","display_name":"Xidian University","ror":"https://ror.org/05s92vm98","country_code":"CN","type":"education","lineage":["https://openalex.org/I149594827"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xinpeng Yang","raw_affiliation_strings":["Remote Sensing Image Processing and Fusion Group, School of Electronic Engineering, Xidian University, Xi\u2019an 710071, China","Remote Sensing Image Processing and Fusion Group, School of Electronic Engineering, Xidian University, Xi'an 710071, China"],"raw_orcid":"https://orcid.org/0000-0002-5690-0468","affiliations":[{"raw_affiliation_string":"Remote Sensing Image Processing and Fusion Group, School of Electronic Engineering, Xidian University, Xi\u2019an 710071, China","institution_ids":["https://openalex.org/I149594827"]},{"raw_affiliation_string":"Remote Sensing Image Processing and Fusion Group, School of Electronic Engineering, Xidian University, Xi'an 710071, China","institution_ids":["https://openalex.org/I149594827"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5010588058","display_name":"Qiang Zhang","orcid":"https://orcid.org/0000-0002-6030-9945"},"institutions":[{"id":"https://openalex.org/I149594827","display_name":"Xidian University","ror":"https://ror.org/05s92vm98","country_code":"CN","type":"education","lineage":["https://openalex.org/I149594827"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Qiang Zhang","raw_affiliation_strings":["Remote Sensing Image Processing and Fusion Group, School of Electronic Engineering, Xidian University, Xi\u2019an 710071, China","Remote Sensing Image Processing and Fusion Group, School of Electronic Engineering, Xidian University, Xi'an 710071, China"],"raw_orcid":"https://orcid.org/0000-0002-6030-9945","affiliations":[{"raw_affiliation_string":"Remote Sensing Image Processing and Fusion Group, School of Electronic Engineering, Xidian University, Xi\u2019an 710071, China","institution_ids":["https://openalex.org/I149594827"]},{"raw_affiliation_string":"Remote Sensing Image Processing and Fusion Group, School of Electronic Engineering, Xidian University, Xi'an 710071, China","institution_ids":["https://openalex.org/I149594827"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5113890641","display_name":"Qiulei Dong","orcid":"https://orcid.org/0000-0003-4015-1615"},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"government","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I4210112150","display_name":"Institute of Automation","ror":"https://ror.org/022c3hy66","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210112150"]},{"id":"https://openalex.org/I4210165038","display_name":"University of Chinese Academy of Sciences","ror":"https://ror.org/05qbk4x57","country_code":"CN","type":"education","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210165038"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qiulei Dong","raw_affiliation_strings":["National Laboratory of Pattern Recognition, Institute of Automation, Chinese Academy of Sciences, Beijing 100190, China","University of Chinese Academy of Sciences, Beijing 100049, China"],"raw_orcid":"https://orcid.org/0000-0003-4015-1615","affiliations":[{"raw_affiliation_string":"National Laboratory of Pattern Recognition, Institute of Automation, Chinese Academy of Sciences, Beijing 100190, China","institution_ids":["https://openalex.org/I4210112150","https://openalex.org/I19820366"]},{"raw_affiliation_string":"University of Chinese Academy of Sciences, Beijing 100049, China","institution_ids":["https://openalex.org/I4210165038"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5027802291","display_name":"Zhen Han","orcid":"https://orcid.org/0000-0002-1862-4781"},"institutions":[{"id":"https://openalex.org/I124841900","display_name":"Xuzhou University of Technology","ror":"https://ror.org/02315by94","country_code":"CN","type":"education","lineage":["https://openalex.org/I124841900"]},{"id":"https://openalex.org/I149594827","display_name":"Xidian University","ror":"https://ror.org/05s92vm98","country_code":"CN","type":"education","lineage":["https://openalex.org/I149594827"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhen Han","raw_affiliation_strings":["Hangzhou Institute of Technology, Xidian University, Hangzhou 311200, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Hangzhou Institute of Technology, Xidian University, Hangzhou 311200, China","institution_ids":["https://openalex.org/I124841900","https://openalex.org/I149594827"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100408572","display_name":"Xiliang Luo","orcid":"https://orcid.org/0000-0001-6075-7089"},"institutions":[{"id":"https://openalex.org/I149594827","display_name":"Xidian University","ror":"https://ror.org/05s92vm98","country_code":"CN","type":"education","lineage":["https://openalex.org/I149594827"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiliang Luo","raw_affiliation_strings":["Remote Sensing Image Processing and Fusion Group, School of Electronic Engineering, Xidian University, Xi\u2019an 710071, China","Remote Sensing Image Processing and Fusion Group, School of Electronic Engineering, Xidian University, Xi'an 710071, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Remote Sensing Image Processing and Fusion Group, School of Electronic Engineering, Xidian University, Xi\u2019an 710071, China","institution_ids":["https://openalex.org/I149594827"]},{"raw_affiliation_string":"Remote Sensing Image Processing and Fusion Group, School of Electronic Engineering, Xidian University, Xi'an 710071, China","institution_ids":["https://openalex.org/I149594827"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5056713146","display_name":"Dongdong Wei","orcid":null},"institutions":[{"id":"https://openalex.org/I124841900","display_name":"Xuzhou University of Technology","ror":"https://ror.org/02315by94","country_code":"CN","type":"education","lineage":["https://openalex.org/I124841900"]},{"id":"https://openalex.org/I149594827","display_name":"Xidian University","ror":"https://ror.org/05s92vm98","country_code":"CN","type":"education","lineage":["https://openalex.org/I149594827"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Dongdong Wei","raw_affiliation_strings":["Hangzhou Institute of Technology, Xidian University, Hangzhou 311200, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Hangzhou Institute of Technology, Xidian University, Hangzhou 311200, China","institution_ids":["https://openalex.org/I124841900","https://openalex.org/I149594827"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5010588058"],"corresponding_institution_ids":["https://openalex.org/I149594827"],"apc_list":{"value":2500,"currency":"CHF","value_usd":2707},"apc_paid":{"value":2500,"currency":"CHF","value_usd":2707},"fwci":1.7075,"has_fulltext":true,"cited_by_count":15,"citation_normalized_percentile":{"value":0.86326368,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":95,"max":98},"biblio":{"volume":"15","issue":"5","first_page":"1324","last_page":"1324"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10036","display_name":"Advanced Neural Network Applications","score":0.9970999956130981,"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":0.9970999956130981,"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/T10801","display_name":"Synthetic Aperture Radar (SAR) Applications and Techniques","score":0.9962999820709229,"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/T11038","display_name":"Advanced SAR Imaging Techniques","score":0.9958999752998352,"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/segmentation","display_name":"Segmentation","score":0.7592452764511108},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.719846785068512},{"id":"https://openalex.org/keywords/bounding-overwatch","display_name":"Bounding overwatch","score":0.6407890915870667},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6141424775123596},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5443598031997681},{"id":"https://openalex.org/keywords/minimum-bounding-box","display_name":"Minimum bounding box","score":0.5086404085159302},{"id":"https://openalex.org/keywords/intersection","display_name":"Intersection (aeronautics)","score":0.5036458373069763},{"id":"https://openalex.org/keywords/synthetic-aperture-radar","display_name":"Synthetic aperture radar","score":0.4968250095844269},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.4794391691684723},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.4416986405849457},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.35453563928604126},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.26049530506134033},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.1395474374294281},{"id":"https://openalex.org/keywords/cartography","display_name":"Cartography","score":0.10693523287773132},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.09764620661735535}],"concepts":[{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.7592452764511108},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.719846785068512},{"id":"https://openalex.org/C63584917","wikidata":"https://www.wikidata.org/wiki/Q333286","display_name":"Bounding overwatch","level":2,"score":0.6407890915870667},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6141424775123596},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5443598031997681},{"id":"https://openalex.org/C147037132","wikidata":"https://www.wikidata.org/wiki/Q6865426","display_name":"Minimum bounding box","level":3,"score":0.5086404085159302},{"id":"https://openalex.org/C64543145","wikidata":"https://www.wikidata.org/wiki/Q162942","display_name":"Intersection (aeronautics)","level":2,"score":0.5036458373069763},{"id":"https://openalex.org/C87360688","wikidata":"https://www.wikidata.org/wiki/Q740686","display_name":"Synthetic aperture radar","level":2,"score":0.4968250095844269},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.4794391691684723},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.4416986405849457},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.35453563928604126},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.26049530506134033},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.1395474374294281},{"id":"https://openalex.org/C58640448","wikidata":"https://www.wikidata.org/wiki/Q42515","display_name":"Cartography","level":1,"score":0.10693523287773132},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.09764620661735535},{"id":"https://openalex.org/C201995342","wikidata":"https://www.wikidata.org/wiki/Q682496","display_name":"Systems engineering","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":3,"locations":[{"id":"doi:10.3390/rs15051324","is_oa":true,"landing_page_url":"https://doi.org/10.3390/rs15051324","pdf_url":"https://www.mdpi.com/2072-4292/15/5/1324/pdf?version=1677497084","source":{"id":"https://openalex.org/S43295729","display_name":"Remote Sensing","issn_l":"2072-4292","issn":["2072-4292"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Remote Sensing","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:9213ca73593541b594811e7a3e7269b2","is_oa":true,"landing_page_url":"https://doaj.org/article/9213ca73593541b594811e7a3e7269b2","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":"Remote Sensing, Vol 15, Iss 5, p 1324 (2023)","raw_type":"article"},{"id":"pmh:oai:mdpi.com:/2072-4292/15/5/1324/","is_oa":true,"landing_page_url":"https://dx.doi.org/10.3390/rs15051324","pdf_url":null,"source":{"id":"https://openalex.org/S4306400947","display_name":"MDPI (MDPI AG)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I4210097602","host_organization_name":"Multidisciplinary Digital Publishing Institute (Switzerland)","host_organization_lineage":["https://openalex.org/I4210097602"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Remote Sensing","raw_type":"Text"}],"best_oa_location":{"id":"doi:10.3390/rs15051324","is_oa":true,"landing_page_url":"https://doi.org/10.3390/rs15051324","pdf_url":"https://www.mdpi.com/2072-4292/15/5/1324/pdf?version=1677497084","source":{"id":"https://openalex.org/S43295729","display_name":"Remote Sensing","issn_l":"2072-4292","issn":["2072-4292"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Remote Sensing","raw_type":"journal-article"},"sustainable_development_goals":[{"score":0.7599999904632568,"id":"https://metadata.un.org/sdg/14","display_name":"Life below water"}],"awards":[{"id":"https://openalex.org/G1448908398","display_name":null,"funder_award_id":"61403294","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G192565814","display_name":null,"funder_award_id":"U1805264","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":false},"content_urls":{"pdf":"https://content.openalex.org/works/W4323317274.pdf"},"referenced_works_count":50,"referenced_works":["https://openalex.org/W1536680647","https://openalex.org/W1861492603","https://openalex.org/W1970764305","https://openalex.org/W2194775991","https://openalex.org/W2295107390","https://openalex.org/W2565639579","https://openalex.org/W2747165560","https://openalex.org/W2752782242","https://openalex.org/W2774244034","https://openalex.org/W2806070179","https://openalex.org/W2920326761","https://openalex.org/W2962858109","https://openalex.org/W2963091558","https://openalex.org/W2963351448","https://openalex.org/W2963849369","https://openalex.org/W2964241181","https://openalex.org/W2964979676","https://openalex.org/W2970252859","https://openalex.org/W2970754912","https://openalex.org/W2987322772","https://openalex.org/W2997725031","https://openalex.org/W2997747012","https://openalex.org/W3011481750","https://openalex.org/W3032837604","https://openalex.org/W3035396860","https://openalex.org/W3035694605","https://openalex.org/W3110971880","https://openalex.org/W3136761610","https://openalex.org/W3170033848","https://openalex.org/W3173658130","https://openalex.org/W3174873843","https://openalex.org/W3184737818","https://openalex.org/W3200733355","https://openalex.org/W3209926580","https://openalex.org/W4214648418","https://openalex.org/W4225125774","https://openalex.org/W4225833008","https://openalex.org/W4280601076","https://openalex.org/W4281776619","https://openalex.org/W4293104723","https://openalex.org/W4298110860","https://openalex.org/W4313026462","https://openalex.org/W4404090460","https://openalex.org/W6762166850","https://openalex.org/W6766860876","https://openalex.org/W6782137339","https://openalex.org/W6786738340","https://openalex.org/W6811047998","https://openalex.org/W6849009521","https://openalex.org/W6874182738"],"related_works":["https://openalex.org/W4237171675","https://openalex.org/W3036286480","https://openalex.org/W3192357901","https://openalex.org/W2387360586","https://openalex.org/W4287027631","https://openalex.org/W2952736415","https://openalex.org/W3209723314","https://openalex.org/W3205398323","https://openalex.org/W2883297582","https://openalex.org/W4390524233"],"abstract_inverted_index":{"Ship":[0],"instance":[1,315],"segmentation":[2,298],"in":[3,29,60,202,253,317,329],"synthetic":[4],"aperture":[5],"radar":[6],"(SAR)":[7],"images":[8],"is":[9,115],"a":[10,108,143,161,230,256],"hard":[11],"and":[12,70,95,177,191,218,304,332],"challenging":[13],"task,":[14,193],"which":[15,99,122],"not":[16],"only":[17],"locates":[18],"ships":[19,45,56,66,140,244],"but":[20,142],"also":[21],"obtains":[22],"their":[23],"shapes":[24],"with":[25,117,174,261,301],"pixel-level":[26],"masks.":[27,153],"However,":[28],"ocean":[30],"SAR":[31,318],"images,":[32],"because":[33],"of":[34,39,43,128,133,150,158,180,184,206,228,243,276,285,326],"the":[35,41,74,82,101,126,131,135,139,148,151,156,159,171,175,185,188,207,215,220,226,240,251,254,262,272,274,277,281,296,324,327,330,333],"consistent":[36],"reflective":[37],"intensities":[38],"ships,":[40,98,134],"appearances":[42],"different":[44,195],"are":[46,59,123],"similar,":[47],"thus":[48],"making":[49,209],"it":[50],"far":[51,89],"too":[52],"difficult":[53],"to":[54,169,224,245,270,294],"distinguish":[55],"when":[57,65],"they":[58],"densely":[61],"packed":[62],"groups.":[63],"Especially":[64],"have":[67],"incline":[68],"directions":[69,132],"large":[71],"aspect":[72],"ratios,":[73],"horizontal":[75],"bounding":[76,119],"boxes":[77,120],"(HB-Boxes)":[78],"used":[79,201],"by":[80],"all":[81],"instance-segmentation":[83,111,306],"networks":[84],"that":[85],"we":[86],"know":[87],"so":[88],"inevitably":[90],"contain":[91],"redundant":[92],"backgrounds,":[93],"docks,":[94],"even":[96],"other":[97],"mislead":[100],"following":[102],"segmentation.":[103,129],"To":[104,154,249],"solve":[105],"this":[106],"problem,":[107],"novel":[109],"ship":[110,314],"network,":[112],"called":[113],"SRNet,":[114],"proposed":[116,237,309],"rotated":[118,289],"(RB-Boxes),":[121],"taken":[124],"as":[125],"foundation":[127],"Along":[130],"RB-Boxes":[136,278],"can":[137],"surround":[138],"tightly,":[141],"minor":[144],"deviation":[145],"will":[146],"corrupt":[147],"integrity":[149],"ships\u2019":[152,216,221],"improve":[155,225],"performance":[157],"RB-Boxes,":[160,255,273],"dual":[162],"feature":[163],"alignment":[164],"module":[165],"(DAM)":[166],"was":[167,236,266],"designed":[168],"obtain":[170,250],"representative":[172],"features":[173],"direction":[176],"shape":[178],"information":[179,242],"ships.":[181],"On":[182],"account":[183],"difference":[186],"between":[187],"classification":[189],"task":[190],"regression":[192],"two":[194,203],"sampling":[196,264],"location":[197],"calculation":[198],"strategies":[199],"were":[200],"convolutional":[204],"kernels":[205],"DAM,":[208],"these":[210],"locations":[211],"distributed":[212],"dynamically":[213],"on":[214,239],"bodies":[217],"along":[219],"boundaries.":[222],"Moreover,":[223],"effectiveness":[227,325],"training,":[229],"new":[231,257],"adaptive":[232],"Intersection-over-Union":[233],"threshold":[234],"(AIoU)":[235],"based":[238],"aspect-ratio":[241],"raise":[246],"positive":[247],"samples.":[248],"masks":[252,316],"Mask-segmentation":[258],"Head":[259,283],"(MaskHead)":[260],"twice":[263],"processes":[265],"explored.":[267],"In":[268,292],"experiments":[269,293],"evaluate":[271,295],"accuracy":[275],"output":[279],"from":[280],"Detection":[282],"(DetHead)":[284],"SRNet":[286,310,331],"outperformed":[287],"eight":[288],"object-detection":[290],"networks.":[291],"final":[297],"masks,":[299],"compared":[300],"several":[302],"classic":[303],"state-of-the-art":[305],"networks,":[307],"our":[308,336],"achieved":[311],"more":[312],"accurate":[313],"images.":[319],"The":[320],"ablation":[321],"studies":[322],"demonstrated":[323],"DAM":[328],"AIoU":[334],"for":[335],"network":[337],"training.":[338]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":4},{"year":2024,"cited_by_count":6},{"year":2023,"cited_by_count":4}],"updated_date":"2026-05-21T06:26:12.895304","created_date":"2025-10-10T00:00:00"}
