{"id":"https://openalex.org/W4413966853","doi":"https://doi.org/10.1109/tii.2025.3598522","title":"RetinexDet: Enhancing Multispectral Object Detection via Retinex State Space Duality and Wavelet-Based Frequency Adaptive Fusion","display_name":"RetinexDet: Enhancing Multispectral Object Detection via Retinex State Space Duality and Wavelet-Based Frequency Adaptive Fusion","publication_year":2025,"publication_date":"2025-09-03","ids":{"openalex":"https://openalex.org/W4413966853","doi":"https://doi.org/10.1109/tii.2025.3598522"},"language":"en","primary_location":{"id":"doi:10.1109/tii.2025.3598522","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tii.2025.3598522","pdf_url":null,"source":{"id":"https://openalex.org/S184777250","display_name":"IEEE Transactions on Industrial Informatics","issn_l":"1551-3203","issn":["1551-3203","1941-0050"],"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 Industrial Informatics","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/A5100459796","display_name":"Zhichao Liu","orcid":"https://orcid.org/0000-0001-8102-2399"},"institutions":[{"id":"https://openalex.org/I76569877","display_name":"Southeast University","ror":"https://ror.org/04ct4d772","country_code":"CN","type":"education","lineage":["https://openalex.org/I76569877"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhichao Liu","raw_affiliation_strings":["School of Mechanical Engineering, Southeast University, Nanjing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Mechanical Engineering, Southeast University, Nanjing, China","institution_ids":["https://openalex.org/I76569877"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5063355672","display_name":"Keke Geng","orcid":"https://orcid.org/0000-0001-9505-4260"},"institutions":[{"id":"https://openalex.org/I76569877","display_name":"Southeast University","ror":"https://ror.org/04ct4d772","country_code":"CN","type":"education","lineage":["https://openalex.org/I76569877"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Keke Geng","raw_affiliation_strings":["School of Mechanical Engineering, Southeast University, Nanjing, China"],"raw_orcid":"https://orcid.org/0000-0001-9505-4260","affiliations":[{"raw_affiliation_string":"School of Mechanical Engineering, Southeast University, Nanjing, China","institution_ids":["https://openalex.org/I76569877"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5048959914","display_name":"Xiaolong Cheng","orcid":"https://orcid.org/0000-0001-7186-1076"},"institutions":[{"id":"https://openalex.org/I76569877","display_name":"Southeast University","ror":"https://ror.org/04ct4d772","country_code":"CN","type":"education","lineage":["https://openalex.org/I76569877"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiaolong Cheng","raw_affiliation_strings":["School of Mechanical Engineering, Southeast University, Nanjing, China"],"raw_orcid":"https://orcid.org/0000-0001-7186-1076","affiliations":[{"raw_affiliation_string":"School of Mechanical Engineering, Southeast University, Nanjing, China","institution_ids":["https://openalex.org/I76569877"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100389389","display_name":"Ziwei Wang","orcid":"https://orcid.org/0009-0006-7834-8498"},"institutions":[{"id":"https://openalex.org/I76569877","display_name":"Southeast University","ror":"https://ror.org/04ct4d772","country_code":"CN","type":"education","lineage":["https://openalex.org/I76569877"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ziwei Wang","raw_affiliation_strings":["School of Mechanical Engineering, Southeast University, Nanjing, China"],"raw_orcid":"https://orcid.org/0009-0006-7834-8498","affiliations":[{"raw_affiliation_string":"School of Mechanical Engineering, Southeast University, Nanjing, China","institution_ids":["https://openalex.org/I76569877"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5064394634","display_name":"Guodong Yin","orcid":"https://orcid.org/0000-0002-8437-7598"},"institutions":[{"id":"https://openalex.org/I76569877","display_name":"Southeast University","ror":"https://ror.org/04ct4d772","country_code":"CN","type":"education","lineage":["https://openalex.org/I76569877"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Guodong Yin","raw_affiliation_strings":["School of Mechanical Engineering, Southeast University, Nanjing, China"],"raw_orcid":"https://orcid.org/0000-0002-8437-7598","affiliations":[{"raw_affiliation_string":"School of Mechanical Engineering, Southeast University, Nanjing, China","institution_ids":["https://openalex.org/I76569877"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101265464","display_name":"Ye Sun","orcid":null},"institutions":[{"id":"https://openalex.org/I76569877","display_name":"Southeast University","ror":"https://ror.org/04ct4d772","country_code":"CN","type":"education","lineage":["https://openalex.org/I76569877"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ye Sun","raw_affiliation_strings":["School of Mechanical Engineering, Southeast University, Nanjing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Mechanical Engineering, Southeast University, Nanjing, China","institution_ids":["https://openalex.org/I76569877"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100542092","display_name":"Tianxiao Ma","orcid":null},"institutions":[{"id":"https://openalex.org/I76569877","display_name":"Southeast University","ror":"https://ror.org/04ct4d772","country_code":"CN","type":"education","lineage":["https://openalex.org/I76569877"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Tianxiao Ma","raw_affiliation_strings":["School of Mechanical Engineering, Southeast University, Nanjing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Mechanical Engineering, Southeast University, Nanjing, China","institution_ids":["https://openalex.org/I76569877"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I76569877"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.30960516,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"21","issue":"12","first_page":"9619","last_page":"9630"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10689","display_name":"Remote-Sensing Image Classification","score":0.9882000088691711,"subfield":{"id":"https://openalex.org/subfields/2214","display_name":"Media Technology"},"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/T10689","display_name":"Remote-Sensing Image Classification","score":0.9882000088691711,"subfield":{"id":"https://openalex.org/subfields/2214","display_name":"Media Technology"},"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":0.9801999926567078,"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/T11659","display_name":"Advanced Image Fusion Techniques","score":0.9783999919891357,"subfield":{"id":"https://openalex.org/subfields/2214","display_name":"Media Technology"},"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/multispectral-image","display_name":"Multispectral image","score":0.8520693778991699},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.6844959855079651},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6408458948135376},{"id":"https://openalex.org/keywords/wavelet","display_name":"Wavelet","score":0.6398718357086182},{"id":"https://openalex.org/keywords/color-constancy","display_name":"Color constancy","score":0.5775165557861328},{"id":"https://openalex.org/keywords/duality","display_name":"Duality (order theory)","score":0.5606825947761536},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5340479612350464},{"id":"https://openalex.org/keywords/fusion","display_name":"Fusion","score":0.5290324091911316},{"id":"https://openalex.org/keywords/sensor-fusion","display_name":"Sensor fusion","score":0.5134044885635376},{"id":"https://openalex.org/keywords/object","display_name":"Object (grammar)","score":0.46435168385505676},{"id":"https://openalex.org/keywords/object-detection","display_name":"Object detection","score":0.4412716031074524},{"id":"https://openalex.org/keywords/image-fusion","display_name":"Image fusion","score":0.4349813461303711},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.34220224618911743},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.25089308619499207},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.08152753114700317}],"concepts":[{"id":"https://openalex.org/C173163844","wikidata":"https://www.wikidata.org/wiki/Q1761440","display_name":"Multispectral image","level":2,"score":0.8520693778991699},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.6844959855079651},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6408458948135376},{"id":"https://openalex.org/C47432892","wikidata":"https://www.wikidata.org/wiki/Q831390","display_name":"Wavelet","level":2,"score":0.6398718357086182},{"id":"https://openalex.org/C187888035","wikidata":"https://www.wikidata.org/wiki/Q2563885","display_name":"Color constancy","level":3,"score":0.5775165557861328},{"id":"https://openalex.org/C2778023678","wikidata":"https://www.wikidata.org/wiki/Q554403","display_name":"Duality (order theory)","level":2,"score":0.5606825947761536},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5340479612350464},{"id":"https://openalex.org/C158525013","wikidata":"https://www.wikidata.org/wiki/Q2593739","display_name":"Fusion","level":2,"score":0.5290324091911316},{"id":"https://openalex.org/C33954974","wikidata":"https://www.wikidata.org/wiki/Q486494","display_name":"Sensor fusion","level":2,"score":0.5134044885635376},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.46435168385505676},{"id":"https://openalex.org/C2776151529","wikidata":"https://www.wikidata.org/wiki/Q3045304","display_name":"Object detection","level":3,"score":0.4412716031074524},{"id":"https://openalex.org/C69744172","wikidata":"https://www.wikidata.org/wiki/Q860822","display_name":"Image fusion","level":3,"score":0.4349813461303711},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.34220224618911743},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.25089308619499207},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.08152753114700317},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C118615104","wikidata":"https://www.wikidata.org/wiki/Q121416","display_name":"Discrete mathematics","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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tii.2025.3598522","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tii.2025.3598522","pdf_url":null,"source":{"id":"https://openalex.org/S184777250","display_name":"IEEE Transactions on Industrial Informatics","issn_l":"1551-3203","issn":["1551-3203","1941-0050"],"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 Industrial Informatics","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G2917394225","display_name":null,"funder_award_id":"52272414","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G8100266561","display_name":null,"funder_award_id":"51905095","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":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":28,"referenced_works":["https://openalex.org/W2176924101","https://openalex.org/W2964241181","https://openalex.org/W3006183307","https://openalex.org/W3118570274","https://openalex.org/W3138516171","https://openalex.org/W3213472242","https://openalex.org/W4200631567","https://openalex.org/W4289752563","https://openalex.org/W4304080362","https://openalex.org/W4312594135","https://openalex.org/W4313267411","https://openalex.org/W4317496152","https://openalex.org/W4376607793","https://openalex.org/W4385988955","https://openalex.org/W4386076504","https://openalex.org/W4386083115","https://openalex.org/W4386189887","https://openalex.org/W4387068250","https://openalex.org/W4387968049","https://openalex.org/W4390872514","https://openalex.org/W4391559729","https://openalex.org/W4391849436","https://openalex.org/W4399975423","https://openalex.org/W4402916619","https://openalex.org/W4405138787","https://openalex.org/W4411055457","https://openalex.org/W4411111030","https://openalex.org/W4413465567"],"related_works":["https://openalex.org/W4318664220","https://openalex.org/W2771047279","https://openalex.org/W4388409104","https://openalex.org/W4237735386","https://openalex.org/W2124951708","https://openalex.org/W1544811710","https://openalex.org/W172072032","https://openalex.org/W2006066416","https://openalex.org/W3157073418","https://openalex.org/W2021642829"],"abstract_inverted_index":{"Multispectral":[0],"object":[1],"detection":[2,12,79],"has":[3,26],"gained":[4],"significant":[5],"attention":[6],"for":[7,83],"its":[8],"ability":[9],"to":[10,181,193],"enhance":[11],"performance":[13,161],"by":[14,96,178],"integrating":[15],"complementary":[16,69],"information":[17,140],"from":[18,111,141],"both":[19,112],"visible":[20,86,145],"and":[21,47,63,77,85,107,138,144,169],"infrared":[22,84,143],"images.":[23],"This":[24,71],"approach":[25],"proven":[27],"particularly":[28],"beneficial":[29],"across":[30],"a":[31,75,130,185,195,198,205],"wide":[32],"range":[33],"of":[34,41,67,119,162],"industrial":[35],"applications.":[36],"However,":[37],"the":[38,48,68,98,122,142,148,159,166,175],"large":[39],"number":[40],"parameters":[42,177],"in":[43,57,147,208],"existing":[44],"network":[45],"models":[46],"dynamically":[49],"changing":[50],"features":[51,110],"between":[52],"dual":[53],"modalities":[54],"often":[55],"result":[56],"inefficiencies,":[58],"consuming":[59],"excessive":[60],"computational":[61],"resources,":[62],"hindering":[64],"effective":[65],"fusion":[66],"data.":[70],"study":[72],"introduces":[73],"RetinexDet,":[74],"lightweight":[76],"efficient":[78],"method":[80,132,196],"designed":[81],"specifically":[82],"image":[87,113],"modalities.":[88],"RetinexDet":[89,173,202],"simultaneously":[90],"addresses":[91],"these":[92],"two":[93],"critical":[94],"challenges":[95],"leveraging":[97],"Retinex":[99],"state":[100],"space":[101],"duality":[102],"block,":[103],"which":[104],"efficiently":[105],"extracts":[106],"refines":[108],"fine-grained":[109],"types":[114],"while":[115,183],"emphasizing":[116],"salient":[117],"regions":[118],"interest.":[120],"Furthermore,":[121],"Wavelet-Based":[123],"Frequency":[124],"Adaptive":[125],"Fusion":[126],"module":[127],"is":[128],"proposed,":[129],"novel":[131],"that":[133],"adaptively":[134],"fuses":[135],"multilevel":[136],"semantic":[137],"intensity":[139],"images":[146],"frequency":[149],"domain.":[150],"Extensive":[151],"experimental":[152],"evaluations":[153],"on":[154,165],"multiple":[155],"public":[156],"datasets":[157],"demonstrate":[158],"superior":[160],"RetinexDet.":[163],"Specifically,":[164],"Low-Light":[167],"Visible":[168],"Infrared":[170],"Paired":[171],"dataset,":[172],"reduces":[174],"model":[176],"98.8%":[179],"compared":[180,192],"CrossFormer":[182],"achieving":[184],"higher":[186],"mean":[187],"average":[188],"precision":[189],"(mAP).":[190],"When":[191],"GAFF,":[194],"with":[197,204],"similar":[199],"parameter":[200],"count,":[201],"outperforms":[203],"26.7%":[206],"increase":[207],"mAP.":[209]},"counts_by_year":[],"updated_date":"2025-11-06T23:17:08.748858","created_date":"2025-10-10T00:00:00"}