{"id":"https://openalex.org/W4408696383","doi":"https://doi.org/10.1109/itsc58415.2024.10919991","title":"Unsupervised Alignment of Traffic Elements for Domain Adaptive Semantic Segmentation","display_name":"Unsupervised Alignment of Traffic Elements for Domain Adaptive Semantic Segmentation","publication_year":2024,"publication_date":"2024-09-24","ids":{"openalex":"https://openalex.org/W4408696383","doi":"https://doi.org/10.1109/itsc58415.2024.10919991"},"language":"en","primary_location":{"id":"doi:10.1109/itsc58415.2024.10919991","is_oa":false,"landing_page_url":"https://doi.org/10.1109/itsc58415.2024.10919991","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 IEEE 27th International Conference on Intelligent Transportation Systems (ITSC)","raw_type":"proceedings-article"},"type":"conference-paper","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/A5032152290","display_name":"Yuan Gao","orcid":"https://orcid.org/0000-0001-6326-129X"},"institutions":[{"id":"https://openalex.org/I87445476","display_name":"Xi'an Jiaotong University","ror":"https://ror.org/017zhmm22","country_code":"CN","type":"education","lineage":["https://openalex.org/I87445476"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yuan Gao","raw_affiliation_strings":["School of Software Engineering, Xi&#x0027;an Jiaotong University,Xi&#x0027;an,Shaanxi Province,P.R. China,710049"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Software Engineering, Xi&#x0027;an Jiaotong University,Xi&#x0027;an,Shaanxi Province,P.R. China,710049","institution_ids":["https://openalex.org/I87445476"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5026770433","display_name":"Yaochen Li","orcid":"https://orcid.org/0000-0001-5741-5280"},"institutions":[{"id":"https://openalex.org/I87445476","display_name":"Xi'an Jiaotong University","ror":"https://ror.org/017zhmm22","country_code":"CN","type":"education","lineage":["https://openalex.org/I87445476"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yaochen Li","raw_affiliation_strings":["School of Software Engineering, Xi&#x0027;an Jiaotong University,Xi&#x0027;an,Shaanxi Province,P.R. China,710049"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Software Engineering, Xi&#x0027;an Jiaotong University,Xi&#x0027;an,Shaanxi Province,P.R. China,710049","institution_ids":["https://openalex.org/I87445476"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5114214610","display_name":"Tengwen Zhang","orcid":null},"institutions":[{"id":"https://openalex.org/I87445476","display_name":"Xi'an Jiaotong University","ror":"https://ror.org/017zhmm22","country_code":"CN","type":"education","lineage":["https://openalex.org/I87445476"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Tengwen Zhang","raw_affiliation_strings":["School of Software Engineering, Xi&#x0027;an Jiaotong University,Xi&#x0027;an,Shaanxi Province,P.R. China,710049"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Software Engineering, Xi&#x0027;an Jiaotong University,Xi&#x0027;an,Shaanxi Province,P.R. China,710049","institution_ids":["https://openalex.org/I87445476"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5007510770","display_name":"Chao Qiu","orcid":"https://orcid.org/0000-0002-2224-2292"},"institutions":[{"id":"https://openalex.org/I87445476","display_name":"Xi'an Jiaotong University","ror":"https://ror.org/017zhmm22","country_code":"CN","type":"education","lineage":["https://openalex.org/I87445476"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chao Qiu","raw_affiliation_strings":["School of Software Engineering, Xi&#x0027;an Jiaotong University,Xi&#x0027;an,Shaanxi Province,P.R. China,710049"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Software Engineering, Xi&#x0027;an Jiaotong University,Xi&#x0027;an,Shaanxi Province,P.R. China,710049","institution_ids":["https://openalex.org/I87445476"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101438777","display_name":"Yuehu Liu","orcid":"https://orcid.org/0000-0002-1048-5115"},"institutions":[{"id":"https://openalex.org/I87445476","display_name":"Xi'an Jiaotong University","ror":"https://ror.org/017zhmm22","country_code":"CN","type":"education","lineage":["https://openalex.org/I87445476"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yuehu Liu","raw_affiliation_strings":["Institute of Artificial Intelligence and Robotics, Xi&#x0027;an Jiaotong University,Xi&#x0027;an,Shaanxi Province,P.R. China,710049"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute of Artificial Intelligence and Robotics, Xi&#x0027;an Jiaotong University,Xi&#x0027;an,Shaanxi Province,P.R. China,710049","institution_ids":["https://openalex.org/I87445476"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I87445476"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.32692937,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"2985","last_page":"2990"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.830299973487854,"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"}},"topics":[{"id":"https://openalex.org/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.830299973487854,"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/T12535","display_name":"Machine Learning and Data Classification","score":0.7527999877929688,"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/T11689","display_name":"Adversarial Robustness in Machine Learning","score":0.7427999973297119,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7657051086425781},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5855377316474915},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.5684511065483093},{"id":"https://openalex.org/keywords/domain","display_name":"Domain (mathematical analysis)","score":0.5099352598190308},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.4341152310371399},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.4098469018936157},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.37359750270843506},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.3313111662864685},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.08709648251533508}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7657051086425781},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5855377316474915},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.5684511065483093},{"id":"https://openalex.org/C36503486","wikidata":"https://www.wikidata.org/wiki/Q11235244","display_name":"Domain (mathematical analysis)","level":2,"score":0.5099352598190308},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.4341152310371399},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.4098469018936157},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.37359750270843506},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.3313111662864685},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.08709648251533508},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/itsc58415.2024.10919991","is_oa":false,"landing_page_url":"https://doi.org/10.1109/itsc58415.2024.10919991","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 IEEE 27th International Conference on Intelligent Transportation Systems (ITSC)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":25,"referenced_works":["https://openalex.org/W2108598243","https://openalex.org/W2194775991","https://openalex.org/W2340897893","https://openalex.org/W2412782625","https://openalex.org/W2487365028","https://openalex.org/W2962793481","https://openalex.org/W2963073217","https://openalex.org/W2963107255","https://openalex.org/W2972285644","https://openalex.org/W2981392058","https://openalex.org/W2981429991","https://openalex.org/W3034417116","https://openalex.org/W3108560336","https://openalex.org/W3120804725","https://openalex.org/W3161293445","https://openalex.org/W3175294391","https://openalex.org/W3217147624","https://openalex.org/W4226396592","https://openalex.org/W4229723800","https://openalex.org/W4295788754","https://openalex.org/W4313182548","https://openalex.org/W4321608048","https://openalex.org/W4365790139","https://openalex.org/W4390872590","https://openalex.org/W6843161697"],"related_works":["https://openalex.org/W4379231730","https://openalex.org/W4389858081","https://openalex.org/W2501551404","https://openalex.org/W4298131179","https://openalex.org/W2113201962","https://openalex.org/W4385583601","https://openalex.org/W4395685956","https://openalex.org/W3159516372","https://openalex.org/W4398146871","https://openalex.org/W1522196789"],"abstract_inverted_index":{"Unsupervised":[0],"domain":[1,9,49,108],"adaptation":[2,50],"has":[3],"been":[4],"used":[5],"to":[6,29,38,97,116,148,163,174],"reduce":[7],"the":[8,14,30,72,103,106,117,124,130,135,150,158,164],"shift,":[10],"which":[11,70,171],"would":[12],"improve":[13],"performance":[15],"of":[16,33,55,61,119,177],"semantic":[17,53,175],"segmentation":[18,54,176],"on":[19,167],"unlabeled":[20],"real-world":[21],"data.":[22],"How-ever,":[23],"existing":[24,165],"methods":[25,166],"do":[26],"not":[27],"cater":[28],"specific":[31],"characteristics":[32],"traffic":[34,62,79,93,121,132,144],"scene":[35],"elements,":[36,80,122],"leading":[37],"suboptimal":[39],"alignment":[40,60,84,95,118,137,151],"outcomes.":[41],"In":[42],"this":[43],"paper,":[44],"we":[45,87],"propose":[46],"a":[47,65,89],"novel":[48],"method":[51,160],"for":[52,129,140],"road":[56,178],"scenes":[57],"via":[58],"unsu-pervised":[59],"elements.":[63,133],"Firstly,":[64],"self-training":[66],"framework":[67],"is":[68,114,127,161,172],"developed,":[69],"distinguishes":[71],"differential":[73],"features":[74],"between":[75,102],"dynamic":[76,90,120,141],"and":[77,91,105,142],"static":[78,92,131,143],"providing":[81],"more":[82],"accurate":[83],"training.":[85],"Then,":[86],"designed":[88,147],"elements":[94,145],"module":[96],"achieve":[98],"cross-domain":[99],"feature":[100],"matching":[101],"source":[104],"target":[107],"images.":[109],"The":[110,153],"cosine":[111],"similarity":[112],"maximization":[113],"applied":[115],"while":[123],"prototype":[125],"learning":[126],"utilized":[128],"Furthermore,":[134],"element":[136],"loss":[138],"functions":[139],"are":[146],"optimize":[149],"modules.":[152],"experimental":[154],"results":[155],"demonstrate":[156],"that":[157],"proposed":[159],"superior":[162],"G":[168],"TAS\u2192Cityscapes":[169],"task,":[170],"applicable":[173],"scenes.":[179]},"counts_by_year":[],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}
