{"id":"https://openalex.org/W4402767054","doi":"https://doi.org/10.1109/tase.2024.3451507","title":"Semi-Supervised Domain Adaptation With Dual-Adversarial Learning for Lane Detection","display_name":"Semi-Supervised Domain Adaptation With Dual-Adversarial Learning for Lane Detection","publication_year":2024,"publication_date":"2024-09-16","ids":{"openalex":"https://openalex.org/W4402767054","doi":"https://doi.org/10.1109/tase.2024.3451507"},"language":"en","primary_location":{"id":"doi:10.1109/tase.2024.3451507","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tase.2024.3451507","pdf_url":null,"source":{"id":"https://openalex.org/S34881539","display_name":"IEEE Transactions on Automation Science and Engineering","issn_l":"1545-5955","issn":["1545-5955","1558-3783"],"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 Automation Science and Engineering","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/A5024615515","display_name":"Xuedong Yao","orcid":"https://orcid.org/0000-0002-1328-3113"},"institutions":[{"id":"https://openalex.org/I13175533","display_name":"Fuyang Normal University","ror":"https://ror.org/02njz9p87","country_code":"CN","type":"education","lineage":["https://openalex.org/I13175533"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Xuedong Yao","raw_affiliation_strings":["School of Computer and Information Engineering and the Anhui Engineering Research Center for Intelligent Computing and Information Innovation, Fuyang Normal University, Fuyang, China"],"affiliations":[{"raw_affiliation_string":"School of Computer and Information Engineering and the Anhui Engineering Research Center for Intelligent Computing and Information Innovation, Fuyang Normal University, Fuyang, China","institution_ids":["https://openalex.org/I13175533"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5115694960","display_name":"Yandong Wang","orcid":null},"institutions":[{"id":"https://openalex.org/I37461747","display_name":"Wuhan University","ror":"https://ror.org/033vjfk17","country_code":"CN","type":"education","lineage":["https://openalex.org/I37461747"]},{"id":"https://openalex.org/I4210118728","display_name":"State Key Laboratory of Information Engineering in Surveying Mapping and Remote Sensing","ror":"https://ror.org/02bpap860","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210118728"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yandong Wang","raw_affiliation_strings":["State Key Laboratory of Information Engineering in Surveying, Mapping and Remote Sensing (LIESMARS), Wuhan University, Wuhan, China"],"affiliations":[{"raw_affiliation_string":"State Key Laboratory of Information Engineering in Surveying, Mapping and Remote Sensing (LIESMARS), Wuhan University, Wuhan, China","institution_ids":["https://openalex.org/I4210118728","https://openalex.org/I37461747"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5060490956","display_name":"Lei Dai","orcid":"https://orcid.org/0000-0002-9498-384X"},"institutions":[{"id":"https://openalex.org/I37461747","display_name":"Wuhan University","ror":"https://ror.org/033vjfk17","country_code":"CN","type":"education","lineage":["https://openalex.org/I37461747"]},{"id":"https://openalex.org/I4210118728","display_name":"State Key Laboratory of Information Engineering in Surveying Mapping and Remote Sensing","ror":"https://ror.org/02bpap860","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210118728"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Lei Dai","raw_affiliation_strings":["State Key Laboratory of Information Engineering in Surveying, Mapping and Remote Sensing (LIESMARS), Wuhan University, Wuhan, China"],"affiliations":[{"raw_affiliation_string":"State Key Laboratory of Information Engineering in Surveying, Mapping and Remote Sensing (LIESMARS), Wuhan University, Wuhan, China","institution_ids":["https://openalex.org/I4210118728","https://openalex.org/I37461747"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100693861","display_name":"Shihong Zhang","orcid":"https://orcid.org/0000-0002-4172-7084"},"institutions":[{"id":"https://openalex.org/I200769079","display_name":"Hong Kong University of Science and Technology","ror":"https://ror.org/00q4vv597","country_code":"HK","type":"education","lineage":["https://openalex.org/I200769079"]}],"countries":["HK"],"is_corresponding":false,"raw_author_name":"Shihong Zhang","raw_affiliation_strings":["Department of Civil and Environmental Engineering, The Hong Kong University of Science and Technology, Hong Kong, China"],"affiliations":[{"raw_affiliation_string":"Department of Civil and Environmental Engineering, The Hong Kong University of Science and Technology, Hong Kong, China","institution_ids":["https://openalex.org/I200769079"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5063527461","display_name":"Mingxuan Dou","orcid":"https://orcid.org/0000-0001-6459-1661"},"institutions":[{"id":"https://openalex.org/I37461747","display_name":"Wuhan University","ror":"https://ror.org/033vjfk17","country_code":"CN","type":"education","lineage":["https://openalex.org/I37461747"]},{"id":"https://openalex.org/I4210118728","display_name":"State Key Laboratory of Information Engineering in Surveying Mapping and Remote Sensing","ror":"https://ror.org/02bpap860","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210118728"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Mingxuan Dou","raw_affiliation_strings":["State Key Laboratory of Information Engineering in Surveying, Mapping and Remote Sensing (LIESMARS), Wuhan University, Wuhan, China"],"affiliations":[{"raw_affiliation_string":"State Key Laboratory of Information Engineering in Surveying, Mapping and Remote Sensing (LIESMARS), Wuhan University, Wuhan, China","institution_ids":["https://openalex.org/I4210118728","https://openalex.org/I37461747"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5007041571","display_name":"Yuejin Deng","orcid":null},"institutions":[{"id":"https://openalex.org/I37461747","display_name":"Wuhan University","ror":"https://ror.org/033vjfk17","country_code":"CN","type":"education","lineage":["https://openalex.org/I37461747"]},{"id":"https://openalex.org/I4210118728","display_name":"State Key Laboratory of Information Engineering in Surveying Mapping and Remote Sensing","ror":"https://ror.org/02bpap860","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210118728"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yuejin Deng","raw_affiliation_strings":["State Key Laboratory of Information Engineering in Surveying, Mapping and Remote Sensing (LIESMARS), Wuhan University, Wuhan, China"],"affiliations":[{"raw_affiliation_string":"State Key Laboratory of Information Engineering in Surveying, Mapping and Remote Sensing (LIESMARS), Wuhan University, Wuhan, China","institution_ids":["https://openalex.org/I4210118728","https://openalex.org/I37461747"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5024615515"],"corresponding_institution_ids":["https://openalex.org/I13175533"],"apc_list":null,"apc_paid":null,"fwci":0.4329,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.61398388,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":95,"max":96},"biblio":{"volume":"22","issue":null,"first_page":"6664","last_page":"6676"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11099","display_name":"Autonomous Vehicle Technology and Safety","score":0.9940999746322632,"subfield":{"id":"https://openalex.org/subfields/2203","display_name":"Automotive 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/T11099","display_name":"Autonomous Vehicle Technology and Safety","score":0.9940999746322632,"subfield":{"id":"https://openalex.org/subfields/2203","display_name":"Automotive 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/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.9825999736785889,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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/T11606","display_name":"Infrastructure Maintenance and Monitoring","score":0.9739999771118164,"subfield":{"id":"https://openalex.org/subfields/2205","display_name":"Civil and Structural 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/domain-adaptation","display_name":"Domain adaptation","score":0.7098770141601562},{"id":"https://openalex.org/keywords/adversarial-system","display_name":"Adversarial system","score":0.6532807350158691},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6345523595809937},{"id":"https://openalex.org/keywords/dual","display_name":"Dual (grammatical number)","score":0.6312955617904663},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5652931332588196},{"id":"https://openalex.org/keywords/adaptation","display_name":"Adaptation (eye)","score":0.5183309316635132},{"id":"https://openalex.org/keywords/domain","display_name":"Domain (mathematical analysis)","score":0.4774877727031708},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.40142014622688293},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.19042187929153442},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.11751988530158997}],"concepts":[{"id":"https://openalex.org/C2776434776","wikidata":"https://www.wikidata.org/wiki/Q19246213","display_name":"Domain adaptation","level":3,"score":0.7098770141601562},{"id":"https://openalex.org/C37736160","wikidata":"https://www.wikidata.org/wiki/Q1801315","display_name":"Adversarial system","level":2,"score":0.6532807350158691},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6345523595809937},{"id":"https://openalex.org/C2780980858","wikidata":"https://www.wikidata.org/wiki/Q110022","display_name":"Dual (grammatical number)","level":2,"score":0.6312955617904663},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5652931332588196},{"id":"https://openalex.org/C139807058","wikidata":"https://www.wikidata.org/wiki/Q352374","display_name":"Adaptation (eye)","level":2,"score":0.5183309316635132},{"id":"https://openalex.org/C36503486","wikidata":"https://www.wikidata.org/wiki/Q11235244","display_name":"Domain (mathematical analysis)","level":2,"score":0.4774877727031708},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.40142014622688293},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.19042187929153442},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.11751988530158997},{"id":"https://openalex.org/C124952713","wikidata":"https://www.wikidata.org/wiki/Q8242","display_name":"Literature","level":1,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"score":0.0},{"id":"https://openalex.org/C142362112","wikidata":"https://www.wikidata.org/wiki/Q735","display_name":"Art","level":0,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/tase.2024.3451507","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tase.2024.3451507","pdf_url":null,"source":{"id":"https://openalex.org/S34881539","display_name":"IEEE Transactions on Automation Science and Engineering","issn_l":"1545-5955","issn":["1545-5955","1558-3783"],"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 Automation Science and Engineering","raw_type":"journal-article"},{"id":"pmh:oai:repository.hkust.edu.hk:1783.1-145421","is_oa":false,"landing_page_url":"http://repository.hkust.edu.hk/ir/Record/1783.1-145421","pdf_url":null,"source":{"id":"https://openalex.org/S4306401796","display_name":"Rare & Special e-Zone (The Hong Kong University of Science and Technology)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I200769079","host_organization_name":"Hong Kong University of Science and Technology","host_organization_lineage":["https://openalex.org/I200769079"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G1126779606","display_name":null,"funder_award_id":"42371472","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G3148690543","display_name":null,"funder_award_id":"BX20220237","funder_id":"https://openalex.org/F4320321543","funder_display_name":"China Postdoctoral Science Foundation"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320321543","display_name":"China Postdoctoral Science Foundation","ror":"https://ror.org/0426zh255"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":54,"referenced_works":["https://openalex.org/W114517082","https://openalex.org/W1995875735","https://openalex.org/W2487365028","https://openalex.org/W2573558504","https://openalex.org/W2762439315","https://openalex.org/W2786808285","https://openalex.org/W2798405286","https://openalex.org/W2913960518","https://openalex.org/W2963073217","https://openalex.org/W2963107255","https://openalex.org/W2979610451","https://openalex.org/W2986381065","https://openalex.org/W3003917023","https://openalex.org/W3025407686","https://openalex.org/W3034590424","https://openalex.org/W3036567070","https://openalex.org/W3106895564","https://openalex.org/W3108146245","https://openalex.org/W3108560336","https://openalex.org/W3112288498","https://openalex.org/W3126366999","https://openalex.org/W3130794141","https://openalex.org/W3133874538","https://openalex.org/W3135748285","https://openalex.org/W3154748738","https://openalex.org/W3157653192","https://openalex.org/W3157967435","https://openalex.org/W3161937211","https://openalex.org/W3175091786","https://openalex.org/W3176820334","https://openalex.org/W3176969075","https://openalex.org/W3193314818","https://openalex.org/W3194912724","https://openalex.org/W3212723887","https://openalex.org/W4210715205","https://openalex.org/W4226144994","https://openalex.org/W4283368714","https://openalex.org/W4283796844","https://openalex.org/W4312257162","https://openalex.org/W4312467129","https://openalex.org/W4312527924","https://openalex.org/W4312807693","https://openalex.org/W4312903871","https://openalex.org/W4367016222","https://openalex.org/W4377235163","https://openalex.org/W4385151940","https://openalex.org/W4385289414","https://openalex.org/W4386076601","https://openalex.org/W4388206698","https://openalex.org/W4390871906","https://openalex.org/W4391923848","https://openalex.org/W6631190155","https://openalex.org/W6802099541","https://openalex.org/W6839091785"],"related_works":["https://openalex.org/W4394775207","https://openalex.org/W4389474468","https://openalex.org/W4300172004","https://openalex.org/W4321649381","https://openalex.org/W2997645659","https://openalex.org/W3180787869","https://openalex.org/W3203792196","https://openalex.org/W2955455867","https://openalex.org/W4295929828","https://openalex.org/W3156096827"],"abstract_inverted_index":{"Lane":[0],"detection":[1,67,80,227,235,262,308],"approaches":[2,15],"relying":[3],"on":[4,183,222,281,357],"abundant":[5],"annotations":[6,248],"have":[7],"achieved":[8],"great":[9],"progress":[10],"in":[11,164,205,233,270,317,339,349,360],"autonomous":[12,240,361],"driving.":[13,241],"These":[14],"may":[16],"suffer":[17],"from":[18],"performance":[19,49,63,175,209,263],"collapse":[20],"when":[21,264],"directly":[22],"applied":[23],"to":[24,28,38,78,90,109,125,142,152,158,202,218,229,244,259,303,313],"unseen":[25],"images":[26],"due":[27],"domain":[29,35,40,75,92,225,231,254,267,283,307],"discrepancy.":[30,93],"Most":[31],"researches":[32],"utilize":[33],"unsupervised":[34,253],"adaptation":[36,76,255,271,284],"(UDA)":[37],"mitigate":[39],"shifts.":[41],"Despite":[42],"this,":[43],"there":[44],"is":[45,123,140,156,257,311],"still":[46],"a":[47,83,173,184,265,293,335],"large":[48,266],"gap":[50,210],"between":[51],"UDA":[52],"and":[53,81,106,113,132,179,249,299,323,344],"supervised":[54,212],"methods":[55,204,213],"because":[56],"lack":[57],"of":[58,64,103,117,129,138,161,176,187,194,207,295,341],"target":[59,105,134,188,301],"supervision":[60],"makes":[61],"improving":[62],"cross-domain":[65],"lane":[66,79,226,234,286,326,329],"difficult.":[68],"In":[69,167],"this":[70],"paper,":[71],"we":[72,95,273],"introduce":[73],"semi-supervised":[74,282],"(SSDA)":[77],"develop":[82],"simple":[84],"yet":[85],"effective":[86,276],"dual-adversarial":[87,277],"learning":[88,122,278],"scheme":[89,279],"minimize":[91],"Specifically,":[94],"conduct":[96],"global":[97],"alignment":[98],"by":[99,146],"calculating":[100],"entropy":[101,111],"information":[102,163],"unlabeled":[104,298],"source":[107,131,296],"data":[108,302],"align":[110],"distribution":[112],"enhance":[114,305],"feature":[115,150],"confidence":[116],"lanes.":[118],"Domain":[119],"consistency":[120,160],"adversarial":[121],"proposed":[124],"make":[126],"full":[127],"use":[128],"both":[130],"unlabeled/labeled":[133],"data.":[135],"A":[136],"triplet":[137,294],"features":[139],"used":[141],"learn":[143],"lane-invariant":[144],"representations":[145],"distinguishing":[147],"whether":[148],"the":[149,223,314,355],"belongs":[151],"same":[153],"domain.":[154,166],"This":[155,288],"conducive":[157],"promote":[159],"lanes":[162],"cross":[165,224,306],"two":[168],"datasets,":[169],"our":[170,195],"method":[171,196,256,289,333],"obtains":[172],"better":[174,336],"42.5%":[177],"(54.9%)":[178],"45.8%":[180],"(64.1%)":[181],"based":[182,280],"small":[185],"amount":[186],"supervision.":[189],"Experimental":[190],"results":[191],"demonstrate":[192],"effectiveness":[193],"as":[197,199,291,321],"well":[198],"its":[200],"superiority":[201],"other":[203],"terms":[206],"reducing":[208],"with":[211],"(<uri":[214],"xmlns:mml=\"http://www.w3.org/1998/Math/MathML\"":[215],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">https://github.com/shenhuqiji/LD-SSDA</uri>).":[216],"Note":[217],"Practitioners\u2014This":[219],"paper":[220],"focuses":[221],"task":[228],"narrow":[230],"discrepancy":[232],"among":[236],"different":[237],"scenarios":[238,343],"for":[239,285],"It":[242],"aims":[243],"reduce":[245],"extra":[246],"label":[247],"retraining":[250],"costs.":[251],"Considering":[252],"hard":[258],"further":[260],"improve":[261],"shift":[268],"occurs":[269],"scenarios,":[272,319],"construct":[274],"an":[275],"detection.":[287],"takes":[290],"input":[292],"data,":[297],"labeled":[300],"effectively":[304],"accuracy,":[309],"which":[310,352],"contributed":[312],"perception":[315],"tasks":[316],"driving":[318],"such":[320],"path":[322],"motion":[324],"planning,":[325],"departure":[327],"warning,":[328],"changing":[330],"decisions.":[331],"Our":[332],"has":[334],"generalization":[337],"ability":[338],"face":[340],"various":[342],"can":[345],"be":[346],"easily":[347],"integrated":[348],"software":[350],"platforms,":[351],"greatly":[353],"facilitates":[354],"applications":[356],"intelligent":[358],"systems":[359],"vehicles.":[362]},"counts_by_year":[{"year":2025,"cited_by_count":2}],"updated_date":"2026-03-04T09:10:02.777135","created_date":"2025-10-10T00:00:00"}