{"id":"https://openalex.org/W4408840937","doi":"https://doi.org/10.1109/tgrs.2025.3554232","title":"Center-Symmetry Representation-Based High-Quality Localization Detector for Oriented Object Detection","display_name":"Center-Symmetry Representation-Based High-Quality Localization Detector for Oriented Object Detection","publication_year":2025,"publication_date":"2025-01-01","ids":{"openalex":"https://openalex.org/W4408840937","doi":"https://doi.org/10.1109/tgrs.2025.3554232"},"language":"en","primary_location":{"id":"doi:10.1109/tgrs.2025.3554232","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tgrs.2025.3554232","pdf_url":null,"source":{"id":"https://openalex.org/S111326731","display_name":"IEEE Transactions on Geoscience and Remote Sensing","issn_l":"0196-2892","issn":["0196-2892","1558-0644"],"is_oa":false,"is_in_doaj":false,"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":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Geoscience and Remote Sensing","raw_type":"journal-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/A5086163457","display_name":"Qin Wu","orcid":"https://orcid.org/0000-0001-8087-3001"},"institutions":[{"id":"https://openalex.org/I111599522","display_name":"Jiangnan University","ror":"https://ror.org/04mkzax54","country_code":"CN","type":"education","lineage":["https://openalex.org/I111599522"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Qin Wu","raw_affiliation_strings":["School of Artificial Intelligence and Computer Science, Jiangnan University, Wuxi, China"],"raw_orcid":"https://orcid.org/0000-0001-8087-3001","affiliations":[{"raw_affiliation_string":"School of Artificial Intelligence and Computer Science, Jiangnan University, Wuxi, China","institution_ids":["https://openalex.org/I111599522"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5057841204","display_name":"Dabin Zhang","orcid":"https://orcid.org/0000-0001-9803-9795"},"institutions":[{"id":"https://openalex.org/I111599522","display_name":"Jiangnan University","ror":"https://ror.org/04mkzax54","country_code":"CN","type":"education","lineage":["https://openalex.org/I111599522"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Dabin Zhang","raw_affiliation_strings":["School of Artificial Intelligence and Computer Science, Jiangnan University, Wuxi, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Artificial Intelligence and Computer Science, Jiangnan University, Wuxi, China","institution_ids":["https://openalex.org/I111599522"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Yuying Pan","orcid":"https://orcid.org/0009-0009-9837-672X"},"institutions":[{"id":"https://openalex.org/I111599522","display_name":"Jiangnan University","ror":"https://ror.org/04mkzax54","country_code":"CN","type":"education","lineage":["https://openalex.org/I111599522"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yuying Pan","raw_affiliation_strings":["School of Artificial Intelligence and Computer Science, Jiangnan University, Wuxi, China"],"raw_orcid":"https://orcid.org/0009-0009-9837-672X","affiliations":[{"raw_affiliation_string":"School of Artificial Intelligence and Computer Science, Jiangnan University, Wuxi, China","institution_ids":["https://openalex.org/I111599522"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100570342","display_name":"Haojie Zhou","orcid":"https://orcid.org/0009-0009-1686-3410"},"institutions":[{"id":"https://openalex.org/I111599522","display_name":"Jiangnan University","ror":"https://ror.org/04mkzax54","country_code":"CN","type":"education","lineage":["https://openalex.org/I111599522"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Haojie Zhou","raw_affiliation_strings":["School of Artificial Intelligence and Computer Science, Jiangnan University, Wuxi, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Artificial Intelligence and Computer Science, Jiangnan University, Wuxi, China","institution_ids":["https://openalex.org/I111599522"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5086163457"],"corresponding_institution_ids":["https://openalex.org/I111599522"],"apc_list":null,"apc_paid":null,"fwci":5.5628,"has_fulltext":false,"cited_by_count":5,"citation_normalized_percentile":{"value":0.95364809,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":96,"max":98},"biblio":{"volume":"63","issue":null,"first_page":"1","last_page":"14"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12111","display_name":"Industrial Vision Systems and Defect Detection","score":0.7123000025749207,"subfield":{"id":"https://openalex.org/subfields/2209","display_name":"Industrial and Manufacturing 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/T12111","display_name":"Industrial Vision Systems and Defect Detection","score":0.7123000025749207,"subfield":{"id":"https://openalex.org/subfields/2209","display_name":"Industrial and Manufacturing 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/detector","display_name":"Detector","score":0.6199369430541992},{"id":"https://openalex.org/keywords/object-detection","display_name":"Object detection","score":0.5895324349403381},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.557159960269928},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.542704701423645},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4511779546737671},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.4509612023830414},{"id":"https://openalex.org/keywords/center","display_name":"Center (category theory)","score":0.4316139221191406},{"id":"https://openalex.org/keywords/symmetry","display_name":"Symmetry (geometry)","score":0.42229312658309937},{"id":"https://openalex.org/keywords/object","display_name":"Object (grammar)","score":0.422023743391037},{"id":"https://openalex.org/keywords/quality","display_name":"Quality (philosophy)","score":0.41696009039878845},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.3350715935230255},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.29235315322875977},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.2689146399497986},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.16020914912223816},{"id":"https://openalex.org/keywords/geology","display_name":"Geology","score":0.09663784503936768},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.09521526098251343},{"id":"https://openalex.org/keywords/geometry","display_name":"Geometry","score":0.08630573749542236}],"concepts":[{"id":"https://openalex.org/C94915269","wikidata":"https://www.wikidata.org/wiki/Q1834857","display_name":"Detector","level":2,"score":0.6199369430541992},{"id":"https://openalex.org/C2776151529","wikidata":"https://www.wikidata.org/wiki/Q3045304","display_name":"Object detection","level":3,"score":0.5895324349403381},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.557159960269928},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.542704701423645},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4511779546737671},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.4509612023830414},{"id":"https://openalex.org/C2779463800","wikidata":"https://www.wikidata.org/wiki/Q5062222","display_name":"Center (category theory)","level":2,"score":0.4316139221191406},{"id":"https://openalex.org/C2779886137","wikidata":"https://www.wikidata.org/wiki/Q21030012","display_name":"Symmetry (geometry)","level":2,"score":0.42229312658309937},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.422023743391037},{"id":"https://openalex.org/C2779530757","wikidata":"https://www.wikidata.org/wiki/Q1207505","display_name":"Quality (philosophy)","level":2,"score":0.41696009039878845},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.3350715935230255},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.29235315322875977},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.2689146399497986},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.16020914912223816},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.09663784503936768},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.09521526098251343},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.08630573749542236},{"id":"https://openalex.org/C94625758","wikidata":"https://www.wikidata.org/wiki/Q7163","display_name":"Politics","level":2,"score":0.0},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","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/C8010536","wikidata":"https://www.wikidata.org/wiki/Q160398","display_name":"Crystallography","level":1,"score":0.0},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tgrs.2025.3554232","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tgrs.2025.3554232","pdf_url":null,"source":{"id":"https://openalex.org/S111326731","display_name":"IEEE Transactions on Geoscience and Remote Sensing","issn_l":"0196-2892","issn":["0196-2892","1558-0644"],"is_oa":false,"is_in_doaj":false,"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":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Geoscience and Remote Sensing","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":81,"referenced_works":["https://openalex.org/W1536680647","https://openalex.org/W2108598243","https://openalex.org/W2193145675","https://openalex.org/W2194775991","https://openalex.org/W2400138547","https://openalex.org/W2565639579","https://openalex.org/W2593539516","https://openalex.org/W2783165089","https://openalex.org/W2784050770","https://openalex.org/W2886904239","https://openalex.org/W2903141337","https://openalex.org/W2962749812","https://openalex.org/W2962850830","https://openalex.org/W2963037989","https://openalex.org/W2963351448","https://openalex.org/W2963857746","https://openalex.org/W2964979676","https://openalex.org/W2967487473","https://openalex.org/W2967636939","https://openalex.org/W2970370255","https://openalex.org/W2982770724","https://openalex.org/W2991359031","https://openalex.org/W2991363140","https://openalex.org/W2993501994","https://openalex.org/W2995801068","https://openalex.org/W3004492228","https://openalex.org/W3009818596","https://openalex.org/W3022917557","https://openalex.org/W3034971973","https://openalex.org/W3035396860","https://openalex.org/W3035402333","https://openalex.org/W3035473155","https://openalex.org/W3035694605","https://openalex.org/W3046174881","https://openalex.org/W3092088889","https://openalex.org/W3093319256","https://openalex.org/W3113164744","https://openalex.org/W3119027652","https://openalex.org/W3134025014","https://openalex.org/W3136761610","https://openalex.org/W3170033848","https://openalex.org/W3173658130","https://openalex.org/W3174389852","https://openalex.org/W3174873843","https://openalex.org/W3175496347","https://openalex.org/W3177105943","https://openalex.org/W3203608457","https://openalex.org/W3213833596","https://openalex.org/W4205932092","https://openalex.org/W4210925408","https://openalex.org/W4214507171","https://openalex.org/W4214648418","https://openalex.org/W4224919677","https://openalex.org/W4283800076","https://openalex.org/W4285215809","https://openalex.org/W4288325606","https://openalex.org/W4294811189","https://openalex.org/W4312335509","https://openalex.org/W4312838497","https://openalex.org/W4313525589","https://openalex.org/W4319450743","https://openalex.org/W4375802065","https://openalex.org/W4377224504","https://openalex.org/W4377712049","https://openalex.org/W4378965865","https://openalex.org/W4383113376","https://openalex.org/W4385413365","https://openalex.org/W4386065355","https://openalex.org/W4386432184","https://openalex.org/W4386432296","https://openalex.org/W4390659361","https://openalex.org/W4390874500","https://openalex.org/W4391935863","https://openalex.org/W4392207662","https://openalex.org/W6620707391","https://openalex.org/W6638444622","https://openalex.org/W6779586474","https://openalex.org/W6788870397","https://openalex.org/W6796744688","https://openalex.org/W6811378280","https://openalex.org/W6843424032"],"related_works":["https://openalex.org/W2366906938","https://openalex.org/W2349391998","https://openalex.org/W4205655149","https://openalex.org/W2000775715","https://openalex.org/W2074467390","https://openalex.org/W2795393339","https://openalex.org/W2626393719","https://openalex.org/W4390618967","https://openalex.org/W4292830139","https://openalex.org/W4319309705"],"abstract_inverted_index":{"Two-stage":[0],"detectors":[1,21],"are":[2],"widely":[3],"used":[4],"in":[5,19,45,68,87,102,198],"oriented":[6,43,100,124,140,196],"object":[7],"detection":[8,13,148],"and":[9,65,139,155,166,178,203,214],"have":[10],"achieved":[11],"high":[12],"accuracy.":[14],"However,":[15],"some":[16],"inconsistency":[17,86,136,162],"issues":[18],"two-stage":[20,35,58],"limit":[22],"their":[23],"further":[24],"improvement.":[25],"To":[26],"overcome":[27],"these":[28],"issues,":[29],"this":[30],"work":[31],"proposes":[32],"an":[33],"effective":[34,183],"center-symmetry":[36,95],"representation-based":[37],"high-quality":[38,99],"localization":[39],"detector":[40],"(CR-HLDet)":[41],"for":[42],"objects":[44,197],"remote":[46,199,209],"sensing":[47,200,210],"images.":[48,201],"It":[49,159],"improves":[50],"the":[51,69,85,103,107,110,115,118,135,161,167,172,175,179,186,218],"three":[52,129,188,207],"main":[53],"components":[54],"of":[55,106,109,117,134,185],"a":[56,73,93,145],"typical":[57],"detector:":[59],"neck,":[60,70],"region":[61],"proposal":[62],"network":[63],"(RPN),":[64],"head.":[66],"Specifically,":[67],"we":[71,91,143],"introduce":[72],"feature":[74,88],"enhancement":[75],"block":[76],"(FEB)":[77],"to":[78,83,97,121,151,193],"extract":[79],"multilevel":[80],"semantic":[81],"information":[82],"solve":[84],"fusion.":[89],"And":[90],"use":[92],"novel":[94],"representation":[96],"generate":[98],"proposals":[101,138],"RPN.":[104],"Instead":[105],"prediction":[108],"rotated":[111],"angle,":[112],"it":[113],"utilizes":[114],"symmetry":[116],"center":[119],"point":[120],"locate":[122,195],"any":[123],"bounding":[125],"box":[126],"(OBB)":[127],"by":[128,170],"points,":[130],"which":[131],"gets":[132],"rid":[133],"between":[137,163,174],"objects.":[141],"Finally,":[142],"design":[144],"dual":[146],"classification":[147,157,164,176],"head":[149],"(DCDH)":[150],"obtain":[152],"more":[153],"robust":[154],"reasonable":[156],"confidence.":[158],"solves":[160],"confidence":[165],"regression":[168,180],"quality":[169],"establishing":[171],"connection":[173],"branch":[177],"branch.":[181],"The":[182],"combination":[184],"above":[187],"modules":[189],"enables":[190],"our":[191],"CR-HLDet":[192],"accurately":[194],"Extensive":[202],"comprehensive":[204],"experiments":[205],"on":[206],"challenging":[208],"datasets":[211],"(DOTA,":[212],"HRSC2016,":[213],"DIOR-R)":[215],"demonstrate":[216],"that":[217],"proposed":[219],"method":[220],"achieves":[221],"state-of-the-art":[222],"performance.":[223]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":4}],"updated_date":"2026-03-27T05:58:40.876381","created_date":"2025-10-10T00:00:00"}