{"id":"https://openalex.org/W7138348037","doi":"https://doi.org/10.1609/aaai.v40i15.38263","title":"Unified Interaction Consistency Learning for Single-Source Domain-Generalized Object Detection in Urban Scene","display_name":"Unified Interaction Consistency Learning for Single-Source Domain-Generalized Object Detection in Urban Scene","publication_year":2026,"publication_date":"2026-03-14","ids":{"openalex":"https://openalex.org/W7138348037","doi":"https://doi.org/10.1609/aaai.v40i15.38263"},"language":"en","primary_location":{"id":"doi:10.1609/aaai.v40i15.38263","is_oa":true,"landing_page_url":"https://doi.org/10.1609/aaai.v40i15.38263","pdf_url":"https://ojs.aaai.org/index.php/AAAI/article/download/38263/42225","source":{"id":"https://openalex.org/S4210191458","display_name":"Proceedings of the AAAI Conference on Artificial Intelligence","issn_l":"2159-5399","issn":["2159-5399","2374-3468"],"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/P4310320058","host_organization_name":"Association for the Advancement of Artificial Intelligence","host_organization_lineage":["https://openalex.org/P4310320058"],"host_organization_lineage_names":["Association for the Advancement of Artificial Intelligence"],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the AAAI Conference on Artificial Intelligence","raw_type":"journal-article"},"type":"conference-paper","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"diamond","oa_url":"https://ojs.aaai.org/index.php/AAAI/article/download/38263/42225","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5129671804","display_name":"Peng Zhang","orcid":null},"institutions":[{"id":"https://openalex.org/I17145004","display_name":"Northwestern Polytechnical University","ror":"https://ror.org/01y0j0j86","country_code":"CN","type":"education","lineage":["https://openalex.org/I17145004"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Peng Zhang","raw_affiliation_strings":["School of Automation, Northwestern Polytechnical University, Xi'an, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Automation, Northwestern Polytechnical University, Xi'an, China","institution_ids":["https://openalex.org/I17145004"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5129703092","display_name":"Xiang Yuan","orcid":null},"institutions":[{"id":"https://openalex.org/I17145004","display_name":"Northwestern Polytechnical University","ror":"https://ror.org/01y0j0j86","country_code":"CN","type":"education","lineage":["https://openalex.org/I17145004"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiang Yuan","raw_affiliation_strings":["School of Automation, Northwestern Polytechnical University, Xi'an, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Automation, Northwestern Polytechnical University, Xi'an, China","institution_ids":["https://openalex.org/I17145004"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5129735946","display_name":"Gong Cheng","orcid":null},"institutions":[{"id":"https://openalex.org/I17145004","display_name":"Northwestern Polytechnical University","ror":"https://ror.org/01y0j0j86","country_code":"CN","type":"education","lineage":["https://openalex.org/I17145004"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Gong Cheng","raw_affiliation_strings":["School of Automation, Northwestern Polytechnical University, Xi'an, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Automation, Northwestern Polytechnical University, Xi'an, China","institution_ids":["https://openalex.org/I17145004"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I17145004"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":true,"cited_by_count":1,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":"40","issue":"15","first_page":"12672","last_page":"12680"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10036","display_name":"Advanced Neural Network Applications","score":0.44339999556541443,"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/T10036","display_name":"Advanced Neural Network Applications","score":0.44339999556541443,"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/T11307","display_name":"Domain Adaptation and Few-Shot Learning","score":0.1574999988079071,"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/T11276","display_name":"Solar Radiation and Photovoltaics","score":0.06069999933242798,"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/robustness","display_name":"Robustness (evolution)","score":0.7067000269889832},{"id":"https://openalex.org/keywords/discriminative-model","display_name":"Discriminative model","score":0.6830000281333923},{"id":"https://openalex.org/keywords/generalization","display_name":"Generalization","score":0.6234999895095825},{"id":"https://openalex.org/keywords/consistency","display_name":"Consistency (knowledge bases)","score":0.5954999923706055},{"id":"https://openalex.org/keywords/object-detection","display_name":"Object detection","score":0.5338000059127808},{"id":"https://openalex.org/keywords/object","display_name":"Object (grammar)","score":0.42660000920295715},{"id":"https://openalex.org/keywords/domain","display_name":"Domain (mathematical analysis)","score":0.3804999887943268}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7095000147819519},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.7067000269889832},{"id":"https://openalex.org/C97931131","wikidata":"https://www.wikidata.org/wiki/Q5282087","display_name":"Discriminative model","level":2,"score":0.6830000281333923},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6801000237464905},{"id":"https://openalex.org/C177148314","wikidata":"https://www.wikidata.org/wiki/Q170084","display_name":"Generalization","level":2,"score":0.6234999895095825},{"id":"https://openalex.org/C2776436953","wikidata":"https://www.wikidata.org/wiki/Q5163215","display_name":"Consistency (knowledge bases)","level":2,"score":0.5954999923706055},{"id":"https://openalex.org/C2776151529","wikidata":"https://www.wikidata.org/wiki/Q3045304","display_name":"Object detection","level":3,"score":0.5338000059127808},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4941999912261963},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.42660000920295715},{"id":"https://openalex.org/C36503486","wikidata":"https://www.wikidata.org/wiki/Q11235244","display_name":"Domain (mathematical analysis)","level":2,"score":0.3804999887943268},{"id":"https://openalex.org/C64876066","wikidata":"https://www.wikidata.org/wiki/Q5141226","display_name":"Cognitive neuroscience of visual object recognition","level":3,"score":0.35679998993873596},{"id":"https://openalex.org/C89611455","wikidata":"https://www.wikidata.org/wiki/Q6804646","display_name":"Mechanism (biology)","level":2,"score":0.32690000534057617},{"id":"https://openalex.org/C59404180","wikidata":"https://www.wikidata.org/wiki/Q17013334","display_name":"Feature learning","level":2,"score":0.3246000111103058},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.3160000145435333},{"id":"https://openalex.org/C45493050","wikidata":"https://www.wikidata.org/wiki/Q7884934","display_name":"Unified Model","level":2,"score":0.3050000071525574},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.30399999022483826},{"id":"https://openalex.org/C117765406","wikidata":"https://www.wikidata.org/wiki/Q5362437","display_name":"Generalization error","level":3,"score":0.2962000072002411},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.26499998569488525},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.25099998712539673}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1609/aaai.v40i15.38263","is_oa":true,"landing_page_url":"https://doi.org/10.1609/aaai.v40i15.38263","pdf_url":"https://ojs.aaai.org/index.php/AAAI/article/download/38263/42225","source":{"id":"https://openalex.org/S4210191458","display_name":"Proceedings of the AAAI Conference on Artificial Intelligence","issn_l":"2159-5399","issn":["2159-5399","2374-3468"],"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/P4310320058","host_organization_name":"Association for the Advancement of Artificial Intelligence","host_organization_lineage":["https://openalex.org/P4310320058"],"host_organization_lineage_names":["Association for the Advancement of Artificial Intelligence"],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the AAAI Conference on Artificial Intelligence","raw_type":"journal-article"},{"id":"pmh:oai:ojs.aaai.org:article/38263","is_oa":false,"landing_page_url":"https://ojs.aaai.org/index.php/AAAI/article/view/38263","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"2159-5399","raw_type":"info:eu-repo/semantics/article"}],"best_oa_location":{"id":"doi:10.1609/aaai.v40i15.38263","is_oa":true,"landing_page_url":"https://doi.org/10.1609/aaai.v40i15.38263","pdf_url":"https://ojs.aaai.org/index.php/AAAI/article/download/38263/42225","source":{"id":"https://openalex.org/S4210191458","display_name":"Proceedings of the AAAI Conference on Artificial Intelligence","issn_l":"2159-5399","issn":["2159-5399","2374-3468"],"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/P4310320058","host_organization_name":"Association for the Advancement of Artificial Intelligence","host_organization_lineage":["https://openalex.org/P4310320058"],"host_organization_lineage_names":["Association for the Advancement of Artificial Intelligence"],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the AAAI Conference on Artificial Intelligence","raw_type":"journal-article"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/10","score":0.5985122919082642,"display_name":"Reduced inequalities"}],"awards":[{"id":"https://openalex.org/G5304685825","display_name":null,"funder_award_id":"62376223","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":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W7138348037.pdf","grobid_xml":"https://content.openalex.org/works/W7138348037.grobid-xml"},"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"Domain":[0],"generalization":[1,150],"remains":[2],"a":[3,41,48,63,102,113],"critical":[4],"challenge":[5],"for":[6],"deploying":[7],"neural":[8],"networks,":[9],"particularly":[10],"in":[11],"out-of-distribution":[12],"object":[13],"detection.":[14],"The":[15],"distributional":[16],"discrepancy":[17],"between":[18,71],"training":[19],"(e.g.,":[20,26],"daytime-sunny)":[21],"and":[22,32,73,95,127],"the":[23,77,92,97,140,153],"realistic":[24],"condition":[25],"night-rainy)":[27],"inevitably":[28],"produces":[29],"imprecise":[30],"localization":[31],"wrong":[33],"classification.":[34],"To":[35],"address":[36],"these":[37],"issues,":[38],"we":[39,60,85,111],"propose":[40,86],"unified":[42],"interaction":[43,65,93,115],"consistency":[44,88],"learning":[45,89],"(UICL)":[46],"framework,":[47],"novel":[49],"single-source":[50],"domain-generalized":[51],"method":[52],"designed":[53],"to":[54,67,90,101],"learn":[55],"intra-class":[56],"domain-invariant":[57],"representations.":[58,81],"Specifically,":[59],"put":[61],"forth":[62],"cross-domain":[64,98],"mechanism":[66,94],"exchange":[68],"region":[69],"proposals":[70],"original":[72],"augmented":[74],"pipelines,":[75],"enriching":[76],"diversity":[78],"of":[79,142],"instance-level":[80],"Building":[82],"upon":[83],"this,":[84],"prediction-guided":[87],"unify":[91],"harmonize":[96],"representations,":[99],"contributing":[100],"discriminative":[103],"prediction":[104],"distribution":[105],"under":[106],"domain":[107],"shift.":[108],"In":[109],"addition,":[110],"devise":[112],"cyclic":[114],"resilient":[116],"detection":[117],"strategy,":[118],"which":[119],"mitigates":[120],"inaccurate":[121],"predictions":[122],"suffering":[123],"from":[124],"partial":[125],"occlusion":[126],"ambiguous":[128],"boundaries":[129],"among":[130],"different":[131],"domains.":[132],"Extensive":[133],"experiments":[134],"evidence":[135],"that":[136],"UICL":[137],"significantly":[138],"improves":[139],"robustness":[141],"detectors":[143],"over":[144],"several":[145],"target":[146],"domains,":[147],"achieving":[148],"state-of-the-art":[149],"performance":[151],"on":[152],"diverse":[154],"weather":[155],"benchmark.":[156]},"counts_by_year":[{"year":2026,"cited_by_count":1}],"updated_date":"2026-07-18T07:39:51.176621","created_date":"2026-03-18T00:00:00"}