{"id":"https://openalex.org/W4366148251","doi":"https://doi.org/10.1109/lra.2023.3267692","title":"AIRA-DA: Adversarial Image Reconstruction Alignments for Unsupervised Domain Adaptive Object Detection","display_name":"AIRA-DA: Adversarial Image Reconstruction Alignments for Unsupervised Domain Adaptive Object Detection","publication_year":2023,"publication_date":"2023-04-17","ids":{"openalex":"https://openalex.org/W4366148251","doi":"https://doi.org/10.1109/lra.2023.3267692"},"language":"en","primary_location":{"id":"doi:10.1109/lra.2023.3267692","is_oa":false,"landing_page_url":"https://doi.org/10.1109/lra.2023.3267692","pdf_url":null,"source":{"id":"https://openalex.org/S4210169774","display_name":"IEEE Robotics and Automation Letters","issn_l":"2377-3766","issn":["2377-3766","2377-3774"],"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 Robotics and Automation Letters","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/A5049765236","display_name":"Kunyang Sun","orcid":"https://orcid.org/0000-0002-5397-0735"},"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":"Kunyang Sun","raw_affiliation_strings":["School of Information Science and Engineering, the National Mobile Communications Research Laboratory, Southeast University, Nanjing, China"],"raw_orcid":"https://orcid.org/0000-0002-5397-0735","affiliations":[{"raw_affiliation_string":"School of Information Science and Engineering, the National Mobile Communications Research Laboratory, Southeast University, Nanjing, China","institution_ids":["https://openalex.org/I76569877"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100620874","display_name":"Wei Lin","orcid":"https://orcid.org/0000-0001-9213-5954"},"institutions":[{"id":"https://openalex.org/I4092182","display_name":"Graz University of Technology","ror":"https://ror.org/00d7xrm67","country_code":"AT","type":"education","lineage":["https://openalex.org/I4092182"]}],"countries":["AT"],"is_corresponding":false,"raw_author_name":"Wei Lin","raw_affiliation_strings":["Institute for Computer Graphics and Vision, Graz University of Technology, Graz, Austria"],"raw_orcid":"https://orcid.org/0000-0001-9213-5954","affiliations":[{"raw_affiliation_string":"Institute for Computer Graphics and Vision, Graz University of Technology, Graz, Austria","institution_ids":["https://openalex.org/I4092182"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5050305421","display_name":"Haoqin Shi","orcid":null},"institutions":[{"id":"https://openalex.org/I4210155350","display_name":"Purple Mountain Laboratories","ror":"https://ror.org/04zcbk583","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210155350"]},{"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":"Haoqin Shi","raw_affiliation_strings":["School of Information Science and Engineering, the National Mobile Communications Research Laboratory, Southeast University, Nanjing, China","Pervasive Communications Center, Purple Mountain Laboratories, Nanjing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Information Science and Engineering, the National Mobile Communications Research Laboratory, Southeast University, Nanjing, China","institution_ids":["https://openalex.org/I76569877"]},{"raw_affiliation_string":"Pervasive Communications Center, Purple Mountain Laboratories, Nanjing, China","institution_ids":["https://openalex.org/I4210155350"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5089042848","display_name":"Yu Liu","orcid":"https://orcid.org/0000-0002-0139-0536"},"institutions":[{"id":"https://openalex.org/I5681781","display_name":"The University of Adelaide","ror":"https://ror.org/00892tw58","country_code":"AU","type":"education","lineage":["https://openalex.org/I5681781"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Yu Liu","raw_affiliation_strings":["The University of Adelaide, Adelaide, SA, Australia"],"raw_orcid":"https://orcid.org/0000-0002-0139-0536","affiliations":[{"raw_affiliation_string":"The University of Adelaide, Adelaide, SA, Australia","institution_ids":["https://openalex.org/I5681781"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5019360899","display_name":"Zhengming Zhang","orcid":"https://orcid.org/0000-0003-3096-1286"},"institutions":[{"id":"https://openalex.org/I4210155350","display_name":"Purple Mountain Laboratories","ror":"https://ror.org/04zcbk583","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210155350"]},{"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":"Zhengming Zhang","raw_affiliation_strings":["School of Information Science and Engineering, the National Mobile Communications Research Laboratory, Southeast University, Nanjing, China","Pervasive Communications Center, Purple Mountain Laboratories, Nanjing, China"],"raw_orcid":"https://orcid.org/0000-0003-3096-1286","affiliations":[{"raw_affiliation_string":"School of Information Science and Engineering, the National Mobile Communications Research Laboratory, Southeast University, Nanjing, China","institution_ids":["https://openalex.org/I76569877"]},{"raw_affiliation_string":"Pervasive Communications Center, Purple Mountain Laboratories, Nanjing, China","institution_ids":["https://openalex.org/I4210155350"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5056225611","display_name":"Yongming Huang","orcid":"https://orcid.org/0000-0003-3616-4616"},"institutions":[{"id":"https://openalex.org/I4210155350","display_name":"Purple Mountain Laboratories","ror":"https://ror.org/04zcbk583","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210155350"]},{"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":"Yongming Huang","raw_affiliation_strings":["School of Information Science and Engineering, the National Mobile Communications Research Laboratory, Southeast University, Nanjing, China","Pervasive Communications Center, Purple Mountain Laboratories, Nanjing, China"],"raw_orcid":"https://orcid.org/0000-0003-3616-4616","affiliations":[{"raw_affiliation_string":"School of Information Science and Engineering, the National Mobile Communications Research Laboratory, Southeast University, Nanjing, China","institution_ids":["https://openalex.org/I76569877"]},{"raw_affiliation_string":"Pervasive Communications Center, Purple Mountain Laboratories, Nanjing, China","institution_ids":["https://openalex.org/I4210155350"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5011359067","display_name":"Horst Bischof","orcid":"https://orcid.org/0000-0002-9096-6671"},"institutions":[{"id":"https://openalex.org/I4092182","display_name":"Graz University of Technology","ror":"https://ror.org/00d7xrm67","country_code":"AT","type":"education","lineage":["https://openalex.org/I4092182"]}],"countries":["AT"],"is_corresponding":false,"raw_author_name":"Horst Bischof","raw_affiliation_strings":["Institute for Computer Graphics and Vision, Graz University of Technology, Graz, Austria"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute for Computer Graphics and Vision, Graz University of Technology, Graz, Austria","institution_ids":["https://openalex.org/I4092182"]}]}],"institutions":[],"countries_distinct_count":3,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":{"value":2345,"currency":"USD","value_usd":2345},"apc_paid":null,"fwci":1.4438,"has_fulltext":false,"cited_by_count":11,"citation_normalized_percentile":{"value":0.84785642,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":93,"max":99},"biblio":{"volume":"8","issue":"6","first_page":"3645","last_page":"3652"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11307","display_name":"Domain Adaptation and Few-Shot Learning","score":0.9988999962806702,"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/T11307","display_name":"Domain Adaptation and Few-Shot Learning","score":0.9988999962806702,"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/T10036","display_name":"Advanced Neural Network Applications","score":0.9984999895095825,"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/T11689","display_name":"Adversarial Robustness in Machine Learning","score":0.9955000281333923,"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/discriminator","display_name":"Discriminator","score":0.8419603109359741},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8099781274795532},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7308676242828369},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.545680582523346},{"id":"https://openalex.org/keywords/domain","display_name":"Domain (mathematical analysis)","score":0.5253443121910095},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5231536626815796},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4504561722278595},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.4189234972000122},{"id":"https://openalex.org/keywords/object-detection","display_name":"Object detection","score":0.4188457131385803},{"id":"https://openalex.org/keywords/regularization","display_name":"Regularization (linguistics)","score":0.41125285625457764},{"id":"https://openalex.org/keywords/detector","display_name":"Detector","score":0.11967143416404724}],"concepts":[{"id":"https://openalex.org/C2779803651","wikidata":"https://www.wikidata.org/wiki/Q5282088","display_name":"Discriminator","level":3,"score":0.8419603109359741},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8099781274795532},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7308676242828369},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.545680582523346},{"id":"https://openalex.org/C36503486","wikidata":"https://www.wikidata.org/wiki/Q11235244","display_name":"Domain (mathematical analysis)","level":2,"score":0.5253443121910095},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5231536626815796},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4504561722278595},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.4189234972000122},{"id":"https://openalex.org/C2776151529","wikidata":"https://www.wikidata.org/wiki/Q3045304","display_name":"Object detection","level":3,"score":0.4188457131385803},{"id":"https://openalex.org/C2776135515","wikidata":"https://www.wikidata.org/wiki/Q17143721","display_name":"Regularization (linguistics)","level":2,"score":0.41125285625457764},{"id":"https://openalex.org/C94915269","wikidata":"https://www.wikidata.org/wiki/Q1834857","display_name":"Detector","level":2,"score":0.11967143416404724},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","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/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/lra.2023.3267692","is_oa":false,"landing_page_url":"https://doi.org/10.1109/lra.2023.3267692","pdf_url":null,"source":{"id":"https://openalex.org/S4210169774","display_name":"IEEE Robotics and Automation Letters","issn_l":"2377-3766","issn":["2377-3766","2377-3774"],"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 Robotics and Automation Letters","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Reduced inequalities","score":0.6899999976158142,"id":"https://metadata.un.org/sdg/10"}],"awards":[{"id":"https://openalex.org/G5633272745","display_name":null,"funder_award_id":"2242022k30002","funder_id":"https://openalex.org/F4320335787","funder_display_name":"Fundamental Research Funds for the Central Universities"},{"id":"https://openalex.org/G900479562","display_name":null,"funder_award_id":"62225107","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"},{"id":"https://openalex.org/F4320335787","display_name":"Fundamental Research Funds for the Central Universities","ror":null}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":43,"referenced_works":["https://openalex.org/W639708223","https://openalex.org/W1686810756","https://openalex.org/W1882958252","https://openalex.org/W2194775991","https://openalex.org/W2340897893","https://openalex.org/W2478454054","https://openalex.org/W2504335775","https://openalex.org/W2565639579","https://openalex.org/W2586761003","https://openalex.org/W2618530766","https://openalex.org/W2748021867","https://openalex.org/W2884561390","https://openalex.org/W2904631343","https://openalex.org/W2953127297","https://openalex.org/W2955889502","https://openalex.org/W2964115968","https://openalex.org/W2964166085","https://openalex.org/W2968634921","https://openalex.org/W2969583814","https://openalex.org/W2977464309","https://openalex.org/W2979548969","https://openalex.org/W2982770724","https://openalex.org/W2990069979","https://openalex.org/W2990740643","https://openalex.org/W3012573144","https://openalex.org/W3034779842","https://openalex.org/W3092462694","https://openalex.org/W3095753995","https://openalex.org/W3096609285","https://openalex.org/W3102057471","https://openalex.org/W3106723659","https://openalex.org/W3107090469","https://openalex.org/W3107331169","https://openalex.org/W3107610277","https://openalex.org/W3109202794","https://openalex.org/W3110011650","https://openalex.org/W3121281282","https://openalex.org/W3176895448","https://openalex.org/W6637373629","https://openalex.org/W6639480849","https://openalex.org/W6725448924","https://openalex.org/W6732510986","https://openalex.org/W6784094891"],"related_works":["https://openalex.org/W4293202849","https://openalex.org/W1980965563","https://openalex.org/W1489300767","https://openalex.org/W4380714744","https://openalex.org/W2387995142","https://openalex.org/W4319453655","https://openalex.org/W2057775761","https://openalex.org/W2964074194","https://openalex.org/W2089959425","https://openalex.org/W4299904075"],"abstract_inverted_index":{"Unsupervised":[0],"domain":[1,19,71,74,90,96,98,119,132,194],"adaptive":[2],"object":[3,11],"detection":[4],"is":[5,49,80,104,220],"a":[6,16,26,130,167],"challenging":[7,193],"perception":[8],"task":[9,139],"where":[10,73],"detectors":[12],"are":[13],"adapted":[14],"from":[15],"label-rich":[17],"source":[18],"to":[20,53,59,61,94,140,155,172],"an":[21,105,111,136],"unlabeled":[22],"target":[23],"domain,":[24],"playing":[25],"vital":[27],"role":[28],"in":[29,76,110,210],"autonomous":[30],"driving":[31],"and":[32,40,51,89,121,208,228],"robot":[33],"navigation.":[34],"Since":[35],"the":[36,46,57,67,77,86,95,114,118,122,142,153,157,161,174,198,217],"camera":[37],"settings,":[38],"weather,":[39],"light":[41],"conditions":[42],"vary":[43],"depending":[44],"on":[45,101],"road,":[47],"it":[48],"labor-intensive":[50],"impossible":[52],"manually":[54],"annotate":[55],"all":[56,202],"data":[58],"adapt":[60],"these":[62],"scenarios.":[63],"Recent":[64],"advances":[65],"demonstrate":[66,196],"effectiveness":[68],"of":[69,113,160,185,192,205,222],"adversarial-based":[70],"alignment,":[72],"invariance":[75],"feature":[78,87,123,162],"space":[79],"produced":[81],"by":[82,134],"adversarial":[83,115,158],"training":[84,116,143,159],"between":[85,117],"extractor":[88],"discriminator.":[91],"However,":[92],"due":[93],"shift,":[97],"discrimination,":[99],"especially":[100],"low-level":[102],"features,":[103],"easy":[106],"task.":[107],"This":[108],"results":[109],"imbalance":[112],"discriminator":[120],"extractor.":[124,163],"In":[125],"this":[126],"work,":[127],"we":[128,146],"achieve":[129],"better":[131],"alignment":[133],"introducing":[135],"auxiliary":[137],"regularization":[138],"improve":[141],"balance.":[144],"Specifically,":[145],"propose":[147],"Adversarial":[148],"Image":[149],"Reconstruction":[150],"(AIR)":[151],"as":[152,181],"regularizer":[154],"facilitate":[156],"We":[164,177],"further":[165],"design":[166],"multi-level":[168],"Feature":[169],"Alignment(A)":[170],"module":[171],"enhance":[173],"adaptation":[175,227],"performance.":[176],"refer":[178],"our":[179],"work":[180],"AIRA-DA":[182],"for":[183],"ease":[184],"presentation.":[186],"Our":[187],"evaluations":[188],"across":[189],"several":[190],"datasets":[191],"shifts":[195],"that":[197,216],"proposed":[199,218],"method":[200,219],"outperforms":[201],"previous":[203],"methods,":[204],"both":[206],"one-":[207],"two-stage,":[209],"most":[211],"settings.":[212],"Extensive":[213],"experiments":[214],"shows":[215],"capable":[221],"handling":[223],"weather":[224],"variation,":[225],"cross-camera":[226],"synthetic-to-real-world":[229],"adaptation.":[230]},"counts_by_year":[{"year":2025,"cited_by_count":6},{"year":2024,"cited_by_count":3},{"year":2023,"cited_by_count":2}],"updated_date":"2026-08-28T12:50:07.497085","created_date":"2025-10-10T00:00:00"}
