{"id":"https://openalex.org/W4405580527","doi":"https://doi.org/10.1007/s40747-024-01681-z","title":"LDWLE: self-supervised driven low-light object detection framework","display_name":"LDWLE: self-supervised driven low-light object detection framework","publication_year":2024,"publication_date":"2024-12-19","ids":{"openalex":"https://openalex.org/W4405580527","doi":"https://doi.org/10.1007/s40747-024-01681-z"},"language":"en","primary_location":{"id":"doi:10.1007/s40747-024-01681-z","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s40747-024-01681-z","pdf_url":"https://link.springer.com/content/pdf/10.1007/s40747-024-01681-z.pdf","source":{"id":"https://openalex.org/S3035462843","display_name":"Complex & Intelligent Systems","issn_l":"2198-6053","issn":["2198-6053","2199-4536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Complex & Intelligent Systems","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://link.springer.com/content/pdf/10.1007/s40747-024-01681-z.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5109794876","display_name":"Xiaoyang shen","orcid":null},"institutions":[{"id":"https://openalex.org/I39333907","display_name":"Yanshan University","ror":"https://ror.org/02txfnf15","country_code":"CN","type":"education","lineage":["https://openalex.org/I39333907"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Xiaoyang shen","raw_affiliation_strings":["College of Electrical Engineering, Yanshan University, Qinhuangdao, 066000, Hebei, China","Key Laboratory of Industrial Computer Control Engineering of Hebei Province, Qinhuangdao, 066000, Hebei, China"],"affiliations":[{"raw_affiliation_string":"College of Electrical Engineering, Yanshan University, Qinhuangdao, 066000, Hebei, China","institution_ids":["https://openalex.org/I39333907"]},{"raw_affiliation_string":"Key Laboratory of Industrial Computer Control Engineering of Hebei Province, Qinhuangdao, 066000, Hebei, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5115603296","display_name":"Haibin Li","orcid":null},"institutions":[{"id":"https://openalex.org/I39333907","display_name":"Yanshan University","ror":"https://ror.org/02txfnf15","country_code":"CN","type":"education","lineage":["https://openalex.org/I39333907"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Haibin Li","raw_affiliation_strings":["College of Electrical Engineering, Yanshan University, Qinhuangdao, 066000, Hebei, China","Key Laboratory of Industrial Computer Control Engineering of Hebei Province, Qinhuangdao, 066000, Hebei, China"],"affiliations":[{"raw_affiliation_string":"College of Electrical Engineering, Yanshan University, Qinhuangdao, 066000, Hebei, China","institution_ids":["https://openalex.org/I39333907"]},{"raw_affiliation_string":"Key Laboratory of Industrial Computer Control Engineering of Hebei Province, Qinhuangdao, 066000, Hebei, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100697596","display_name":"Yaqian Li","orcid":"https://orcid.org/0000-0002-3541-2836"},"institutions":[{"id":"https://openalex.org/I39333907","display_name":"Yanshan University","ror":"https://ror.org/02txfnf15","country_code":"CN","type":"education","lineage":["https://openalex.org/I39333907"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yaqian Li","raw_affiliation_strings":["College of Electrical Engineering, Yanshan University, Qinhuangdao, 066000, Hebei, China","Key Laboratory of Industrial Computer Control Engineering of Hebei Province, Qinhuangdao, 066000, Hebei, China"],"affiliations":[{"raw_affiliation_string":"College of Electrical Engineering, Yanshan University, Qinhuangdao, 066000, Hebei, China","institution_ids":["https://openalex.org/I39333907"]},{"raw_affiliation_string":"Key Laboratory of Industrial Computer Control Engineering of Hebei Province, Qinhuangdao, 066000, Hebei, China","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5112845493","display_name":"Wenming Zhang","orcid":"https://orcid.org/0000-0002-6203-9491"},"institutions":[{"id":"https://openalex.org/I39333907","display_name":"Yanshan University","ror":"https://ror.org/02txfnf15","country_code":"CN","type":"education","lineage":["https://openalex.org/I39333907"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wenming Zhang","raw_affiliation_strings":["College of Electrical Engineering, Yanshan University, Qinhuangdao, 066000, Hebei, China","Key Laboratory of Industrial Computer Control Engineering of Hebei Province, Qinhuangdao, 066000, Hebei, China"],"affiliations":[{"raw_affiliation_string":"College of Electrical Engineering, Yanshan University, Qinhuangdao, 066000, Hebei, China","institution_ids":["https://openalex.org/I39333907"]},{"raw_affiliation_string":"Key Laboratory of Industrial Computer Control Engineering of Hebei Province, Qinhuangdao, 066000, Hebei, China","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5109794876"],"corresponding_institution_ids":["https://openalex.org/I39333907"],"apc_list":{"value":1320,"currency":"GBP","value_usd":1619},"apc_paid":{"value":1320,"currency":"GBP","value_usd":1619},"fwci":1.4537,"has_fulltext":true,"cited_by_count":6,"citation_normalized_percentile":{"value":0.83984475,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":96,"max":98},"biblio":{"volume":"11","issue":"1","first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11019","display_name":"Image Enhancement Techniques","score":0.9997000098228455,"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/T11019","display_name":"Image Enhancement Techniques","score":0.9997000098228455,"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/T10331","display_name":"Video Surveillance and Tracking Methods","score":0.9995999932289124,"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/T10531","display_name":"Advanced Vision and Imaging","score":0.9983000159263611,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computational-intelligence","display_name":"Computational intelligence","score":0.641711413860321},{"id":"https://openalex.org/keywords/object","display_name":"Object (grammar)","score":0.5675110816955566},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5611708760261536},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5229930877685547},{"id":"https://openalex.org/keywords/object-detection","display_name":"Object detection","score":0.45324909687042236},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.4325115978717804},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4071570634841919}],"concepts":[{"id":"https://openalex.org/C139502532","wikidata":"https://www.wikidata.org/wiki/Q1122090","display_name":"Computational intelligence","level":2,"score":0.641711413860321},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.5675110816955566},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5611708760261536},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5229930877685547},{"id":"https://openalex.org/C2776151529","wikidata":"https://www.wikidata.org/wiki/Q3045304","display_name":"Object detection","level":3,"score":0.45324909687042236},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.4325115978717804},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4071570634841919}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1007/s40747-024-01681-z","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s40747-024-01681-z","pdf_url":"https://link.springer.com/content/pdf/10.1007/s40747-024-01681-z.pdf","source":{"id":"https://openalex.org/S3035462843","display_name":"Complex & Intelligent Systems","issn_l":"2198-6053","issn":["2198-6053","2199-4536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Complex & Intelligent Systems","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:b580fb0672a743139ea00aa399e34358","is_oa":true,"landing_page_url":"https://doaj.org/article/b580fb0672a743139ea00aa399e34358","pdf_url":null,"source":{"id":"https://openalex.org/S112646816","display_name":"SHILAP Revista de lepidopterolog\u00eda","issn_l":"0300-5267","issn":["0300-5267","2340-4078"],"is_oa":true,"is_in_doaj":true,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Complex & Intelligent Systems, Vol 11, Iss 1, Pp 1-18 (2024)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1007/s40747-024-01681-z","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s40747-024-01681-z","pdf_url":"https://link.springer.com/content/pdf/10.1007/s40747-024-01681-z.pdf","source":{"id":"https://openalex.org/S3035462843","display_name":"Complex & Intelligent Systems","issn_l":"2198-6053","issn":["2198-6053","2199-4536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Complex & Intelligent Systems","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G1122842682","display_name":null,"funder_award_id":"U23A20333","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G2679008358","display_name":null,"funder_award_id":"U23A2033","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G2889588469","display_name":null,"funder_award_id":"2019203","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G3317480652","display_name":null,"funder_award_id":"Science","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G3732737483","display_name":null,"funder_award_id":"F2019203195","funder_id":"https://openalex.org/F4320322163","funder_display_name":"Natural Science Foundation of Hebei Province"},{"id":"https://openalex.org/G391238517","display_name":null,"funder_award_id":", and","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G4133174517","display_name":null,"funder_award_id":"201920","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G4757636643","display_name":null,"funder_award_id":"62106214","funder_id":"https://openalex.org/F4320315254","funder_display_name":"Innovative Research Group Project of the National Natural Science Foundation of China"},{"id":"https://openalex.org/G5994120800","display_name":null,"funder_award_id":"Natural","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G6676365692","display_name":null,"funder_award_id":"U23A203","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G7841502532","display_name":null,"funder_award_id":"62106214","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320315254","display_name":"Innovative Research Group Project of the National Natural Science Foundation of China","ror":null},{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320322163","display_name":"Natural Science Foundation of Hebei Province","ror":"https://ror.org/01h0zpd94"}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4405580527.pdf","grobid_xml":"https://content.openalex.org/works/W4405580527.grobid-xml"},"referenced_works_count":35,"referenced_works":["https://openalex.org/W639708223","https://openalex.org/W1861492603","https://openalex.org/W2026257997","https://openalex.org/W2037227137","https://openalex.org/W2108598243","https://openalex.org/W2128254161","https://openalex.org/W2193145675","https://openalex.org/W2254039850","https://openalex.org/W2963037989","https://openalex.org/W2963766909","https://openalex.org/W2964325192","https://openalex.org/W2981718299","https://openalex.org/W2991216808","https://openalex.org/W3025800305","https://openalex.org/W3035731588","https://openalex.org/W3106250896","https://openalex.org/W3111586540","https://openalex.org/W3117704549","https://openalex.org/W3121661546","https://openalex.org/W3158532036","https://openalex.org/W3163754133","https://openalex.org/W3174865552","https://openalex.org/W3214047808","https://openalex.org/W4200268060","https://openalex.org/W4200292189","https://openalex.org/W4213072039","https://openalex.org/W4225836273","https://openalex.org/W4281826654","https://openalex.org/W4287202286","https://openalex.org/W4312725970","https://openalex.org/W4312746248","https://openalex.org/W4383068630","https://openalex.org/W4393087200","https://openalex.org/W4394984900","https://openalex.org/W6600647914"],"related_works":["https://openalex.org/W2736674626","https://openalex.org/W2973875853","https://openalex.org/W2737719445","https://openalex.org/W4239098401","https://openalex.org/W2898210368","https://openalex.org/W2382480268","https://openalex.org/W1987895166","https://openalex.org/W4295529468","https://openalex.org/W4292830139","https://openalex.org/W4319309705"],"abstract_inverted_index":{"Low-light":[0],"object":[1,36,131,169,232,238,247,254,271,302,322],"detection":[2,37,53,132,233,239,248,255,272,303],"involves":[3],"identifying":[4],"and":[5,22,27,39,93,134,146,284,298,311,333,340,343,370,380],"locating":[6],"objects":[7,363],"in":[8,20,52,225,320],"images":[9,113],"captured":[10],"under":[11],"poor":[12],"lighting":[13,45,378],"conditions.":[14],"It":[15],"plays":[16],"a":[17,49,66,88,135,182,191,206,230,244,260],"significant":[18,50],"role":[19],"surveillance":[21],"security,":[23],"night":[24],"pedestrian":[25],"recognition,":[26],"autonomous":[28],"driving,":[29],"showcasing":[30],"broad":[31],"application":[32],"prospects.":[33],"Most":[34],"existing":[35,237],"algorithms":[38,275],"datasets":[40,313,338,369],"are":[41,114,124,147],"designed":[42],"for":[43],"normal":[44],"conditions,":[46],"leading":[47],"to":[48,57,187,236,376],"drop":[51],"performance":[54],"when":[55],"applied":[56],"low-light":[58,112,136,162,183,192,207,245,321,368],"environments.":[59],"To":[60],"address":[61],"this":[62,287],"issue,":[63],"we":[64],"propose":[65],"Low-Light":[67,70],"Detection":[68],"with":[69],"Enhancement":[71],"(LDWLE)":[72],"framework.":[73],"LDWLE":[74,241,258,319,358],"is":[75,175,204,210,259],"an":[76,130,329],"encoder-decoder":[77],"architecture":[78],"where":[79],"the":[80,83,94,98,103,107,117,143,151,154,161,172,198,201,214,217,220,226,281,289,293,296,301,308,316,336,345,351],"encoder":[81,145],"transforms":[82],"raw":[84],"input":[85,115,173,202,212],"data":[86],"into":[87,116,190,197,213],"compact,":[89],"abstract":[90],"representation":[91,104],"(encoding),":[92],"decoder":[95,133],"gradually":[96],"generates":[97],"target":[99],"output":[100],"format":[101],"from":[102],"produced":[105],"by":[106,126],"encoder.":[108,199,215],"Specifically,":[109],"during":[110],"training,":[111],"encoder,":[118,294],"which":[119],"produces":[120],"feature":[121],"representations":[122],"that":[123,167,264],"decoded":[125],"two":[127,155],"separate":[128],"decoders:":[129],"image":[137,163,174,184,193,203],"enhancement":[138,164],"decoder.":[139,304],"Both":[140],"decoders":[141,156],"share":[142],"same":[144,227],"trained":[148],"jointly.":[149],"Throughout":[150],"training":[152,262],"process,":[153],"optimize":[157],"each":[158],"other,":[159],"guiding":[160],"towards":[165],"improvements":[166],"benefit":[168],"detection.":[170,323],"If":[171,200],"normally":[176,252],"lit,":[177],"it":[178,209,327],"first":[179],"passes":[180],"through":[181],"conversion":[185],"module":[186],"be":[188,223,266],"transformed":[189],"before":[194],"being":[195],"fed":[196],"already":[205],"image,":[208],"directly":[211],"During":[216],"testing":[218],"phase,":[219],"model":[221,249],"can":[222,242,265,359],"evaluated":[224],"way":[228],"as":[229,292],"standard":[231],"algorithm.":[234],"Compared":[235],"algorithms,":[240],"train":[243],"robust":[246],"using":[250],"standard,":[251],"lit":[253],"datasets.":[256],"Additionally,":[257],"versatile":[261],"framework":[263],"implemented":[267],"on":[268,307,335,350,364],"most":[269,362],"one-stage":[270],"algorithms.":[273],"These":[274],"typically":[276],"consist":[277],"of":[278,318,331,348],"three":[279],"components:":[280],"backbone,":[282],"neck,":[283],"head.":[285],"In":[286,324,355],"framework,":[288],"backbone":[290],"functions":[291],"while":[295],"neck":[297],"head":[299],"form":[300],"Extensive":[305],"experiments":[306],"COCO,":[309],"VOC,":[310],"ExDark":[312],"have":[314],"demonstrated":[315],"effectiveness":[317],"quantitative":[325],"measurements,":[326,357],"achieves":[328,344],"AP":[330,347],"25.5":[332],"38.4":[334],"synthetic":[337],"COCO-d":[339],"VOC-d,":[341],"respectively,":[342],"best":[346],"30.5":[349],"real-world":[352,367],"dataset":[353],"ExDark.":[354],"qualitative":[356],"accurately":[360],"detect":[361],"both":[365],"public":[366],"self-collected":[371],"ones,":[372],"demonstrating":[373],"strong":[374],"adaptability":[375],"varying":[377],"conditions":[379],"multi-scale":[381],"objects.":[382]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":5}],"updated_date":"2026-04-16T08:26:57.006410","created_date":"2025-10-10T00:00:00"}