{"id":"https://openalex.org/W4413018057","doi":"https://doi.org/10.1109/iv64158.2025.11097429","title":"Robust Checkpoint Selection by Exponential Moving Averaging for Domain Generalized Segmentation","display_name":"Robust Checkpoint Selection by Exponential Moving Averaging for Domain Generalized Segmentation","publication_year":2025,"publication_date":"2025-06-22","ids":{"openalex":"https://openalex.org/W4413018057","doi":"https://doi.org/10.1109/iv64158.2025.11097429"},"language":"en","primary_location":{"id":"doi:10.1109/iv64158.2025.11097429","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iv64158.2025.11097429","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 IEEE Intelligent Vehicles Symposium (IV)","raw_type":"proceedings-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/A5119232295","display_name":"Marc B\u00e4tje","orcid":null},"institutions":[{"id":"https://openalex.org/I8659980","display_name":"Volkswagen Group (United States)","ror":"https://ror.org/034e5n787","country_code":"US","type":"company","lineage":["https://openalex.org/I1319473763","https://openalex.org/I8659980"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Marc B\u00e4tje","raw_affiliation_strings":["Volkswagen AG and Institute for Software Engineering and Programming Languages, University of Lübeck,Lubeck,Germany,23562"],"affiliations":[{"raw_affiliation_string":"Volkswagen AG and Institute for Software Engineering and Programming Languages, University of Lübeck,Lubeck,Germany,23562","institution_ids":["https://openalex.org/I8659980"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5001821249","display_name":"Manuel Schwonberg","orcid":"https://orcid.org/0009-0002-0167-6902"},"institutions":[{"id":"https://openalex.org/I4577782","display_name":"Technische Universit\u00e4t Berlin","ror":"https://ror.org/03v4gjf40","country_code":"DE","type":"education","lineage":["https://openalex.org/I4577782"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Manuel Schwonberg","raw_affiliation_strings":["Technical University Berlin,CARIAD SE and Mathematical Modeling of Industrial Life Cycles,Berlin,Germany,10623"],"affiliations":[{"raw_affiliation_string":"Technical University Berlin,CARIAD SE and Mathematical Modeling of Industrial Life Cycles,Berlin,Germany,10623","institution_ids":["https://openalex.org/I4577782"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5119232296","display_name":"Henrik Bohlke","orcid":null},"institutions":[{"id":"https://openalex.org/I1319473763","display_name":"Volkswagen Group (Germany)","ror":"https://ror.org/01f3bhg26","country_code":"DE","type":"company","lineage":["https://openalex.org/I1319473763"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Henrik Bohlke","raw_affiliation_strings":["Volkswagen AG,Wolfsburg,Germany,38440"],"affiliations":[{"raw_affiliation_string":"Volkswagen AG,Wolfsburg,Germany,38440","institution_ids":["https://openalex.org/I1319473763"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5002397514","display_name":"Martin Leucker","orcid":"https://orcid.org/0000-0002-3696-9222"},"institutions":[{"id":"https://openalex.org/I9341345","display_name":"University of L\u00fcbeck","ror":"https://ror.org/00t3r8h32","country_code":"DE","type":"education","lineage":["https://openalex.org/I9341345"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Martin Leucker","raw_affiliation_strings":["Institute for Software Engineering and Programming Languages, University of Lübeck,Lubeck,Germany,23562"],"affiliations":[{"raw_affiliation_string":"Institute for Software Engineering and Programming Languages, University of Lübeck,Lubeck,Germany,23562","institution_ids":["https://openalex.org/I9341345"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5119232295"],"corresponding_institution_ids":["https://openalex.org/I8659980"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.23031455,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"861","last_page":"868"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.9710000157356262,"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/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.9710000157356262,"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/T12535","display_name":"Machine Learning and Data Classification","score":0.9643999934196472,"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/T10191","display_name":"Robotics and Sensor-Based Localization","score":0.9506999850273132,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5532721877098083},{"id":"https://openalex.org/keywords/selection","display_name":"Selection (genetic algorithm)","score":0.5083908438682556},{"id":"https://openalex.org/keywords/exponential-function","display_name":"Exponential function","score":0.4939165711402893},{"id":"https://openalex.org/keywords/domain","display_name":"Domain (mathematical analysis)","score":0.4658221900463104},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.44668281078338623},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3727821111679077},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.2937152087688446},{"id":"https://openalex.org/keywords/mathematical-analysis","display_name":"Mathematical analysis","score":0.08787742257118225}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5532721877098083},{"id":"https://openalex.org/C81917197","wikidata":"https://www.wikidata.org/wiki/Q628760","display_name":"Selection (genetic algorithm)","level":2,"score":0.5083908438682556},{"id":"https://openalex.org/C151376022","wikidata":"https://www.wikidata.org/wiki/Q168698","display_name":"Exponential function","level":2,"score":0.4939165711402893},{"id":"https://openalex.org/C36503486","wikidata":"https://www.wikidata.org/wiki/Q11235244","display_name":"Domain (mathematical analysis)","level":2,"score":0.4658221900463104},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.44668281078338623},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3727821111679077},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.2937152087688446},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.08787742257118225}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/iv64158.2025.11097429","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iv64158.2025.11097429","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 IEEE Intelligent Vehicles Symposium (IV)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320329929","display_name":"Volkswagen Aktiengesellschaft","ror":"https://ror.org/01f3bhg26"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":53,"referenced_works":["https://openalex.org/W1722318740","https://openalex.org/W1861492603","https://openalex.org/W1920962657","https://openalex.org/W2028138594","https://openalex.org/W2068181924","https://openalex.org/W2108598243","https://openalex.org/W2162651021","https://openalex.org/W2165698076","https://openalex.org/W2340897893","https://openalex.org/W2431874326","https://openalex.org/W2548975497","https://openalex.org/W2786808285","https://openalex.org/W2798658180","https://openalex.org/W2889985731","https://openalex.org/W2962687275","https://openalex.org/W2969893028","https://openalex.org/W2981540341","https://openalex.org/W2992308087","https://openalex.org/W3035256099","https://openalex.org/W3035564946","https://openalex.org/W3041133507","https://openalex.org/W3133542152","https://openalex.org/W3140854437","https://openalex.org/W3169545167","https://openalex.org/W3180439858","https://openalex.org/W3181515393","https://openalex.org/W3190654993","https://openalex.org/W3194730353","https://openalex.org/W3207856632","https://openalex.org/W4229723800","https://openalex.org/W4289639938","https://openalex.org/W4309028162","https://openalex.org/W4312243476","https://openalex.org/W4312719508","https://openalex.org/W4380053223","https://openalex.org/W4383097426","https://openalex.org/W4385302136","https://openalex.org/W4385538947","https://openalex.org/W4388297464","https://openalex.org/W4388998887","https://openalex.org/W4390190321","https://openalex.org/W4393150367","https://openalex.org/W6678977525","https://openalex.org/W6683124652","https://openalex.org/W6746282794","https://openalex.org/W6749107692","https://openalex.org/W6755654078","https://openalex.org/W6764990469","https://openalex.org/W6783651088","https://openalex.org/W6797399245","https://openalex.org/W6802218743","https://openalex.org/W6839618926","https://openalex.org/W7075999875"],"related_works":["https://openalex.org/W4205762803","https://openalex.org/W2535856026","https://openalex.org/W2265065644","https://openalex.org/W4379231730","https://openalex.org/W4389858081","https://openalex.org/W2134699697","https://openalex.org/W3017188156","https://openalex.org/W2322875716","https://openalex.org/W2501551404","https://openalex.org/W4298131179"],"abstract_inverted_index":{"Deep":[0],"learning":[1],"has":[2],"seen":[3],"significant":[4],"progress":[5],"in":[6,32,102,121],"applications":[7],"such":[8],"as":[9,110],"autonomous":[10],"driving":[11],"and":[12,91,99,117],"healthcare,":[13],"with":[14,57],"synthetic":[15,26],"data":[16,27],"playing":[17],"an":[18,65],"increasingly":[19],"important":[20],"role.":[21],"However,":[22],"models":[23,49],"trained":[24],"on":[25],"often":[28],"suffer":[29],"performance":[30,97,120],"drops":[31],"real-world":[33,122],"settings":[34],"due":[35],"to":[36,43,54],"domain":[37],"shifts.":[38],"Domain":[39],"Generalization":[40],"(DG)":[41],"aims":[42],"address":[44],"this":[45],"problem":[46],"by":[47],"developing":[48],"that":[50,78],"can":[51],"robustly":[52],"generalize":[53],"unseen":[55],"domains,":[56],"a":[58,75,111],"key":[59],"challenge":[60],"being":[61],"the":[62,69,84],"selection":[63,71],"of":[64,86,105],"appropriate":[66],"checkpoint.":[67],"For":[68],"checkpoint":[70],"problem,":[72],"we":[73],"introduce":[74],"standardized":[76],"approach":[77],"simultaneously":[79],"enhances":[80],"model":[81],"robustness":[82],"through":[83],"combination":[85],"Exponential":[87],"Moving":[88],"Average":[89],"(EMA)":[90],"Data":[92],"Augmentation.":[93],"Our":[94],"method":[95],"reduces":[96],"variability":[98],"improves":[100],"generalization":[101],"25":[103],"out":[104],"26":[106],"experiments,":[107],"highlighting":[108],"EMA":[109],"promising":[112],"technique":[113],"for":[114],"more":[115],"stable":[116],"reliable":[118],"DG":[119],"applications.":[123]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}