{"id":"https://openalex.org/W4416524631","doi":"https://doi.org/10.1109/iccv51701.2025.00422","title":"Continual Adaptation: Environment-Conditional Parameter Generation for Object Detection in Dynamic Scenarios","display_name":"Continual Adaptation: Environment-Conditional Parameter Generation for Object Detection in Dynamic Scenarios","publication_year":2025,"publication_date":"2025-10-19","ids":{"openalex":"https://openalex.org/W4416524631","doi":"https://doi.org/10.1109/iccv51701.2025.00422"},"language":"en","primary_location":{"id":"doi:10.1109/iccv51701.2025.00422","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iccv51701.2025.00422","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 IEEE/CVF International Conference on Computer Vision (ICCV)","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["arxiv","crossref","datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/2506.24063","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5100671329","display_name":"Li Deng","orcid":"https://orcid.org/0000-0003-1527-0700"},"institutions":[{"id":"https://openalex.org/I162868743","display_name":"Tianjin University","ror":"https://ror.org/012tb2g32","country_code":"CN","type":"education","lineage":["https://openalex.org/I162868743"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Deng Li","raw_affiliation_strings":["College of Intelligence and Computing, Tianjin University,Tianjin,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Intelligence and Computing, Tianjin University,Tianjin,China","institution_ids":["https://openalex.org/I162868743"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5066818276","display_name":"Aming Wu","orcid":"https://orcid.org/0000-0001-8426-0392"},"institutions":[{"id":"https://openalex.org/I16365422","display_name":"Hefei University of Technology","ror":"https://ror.org/02czkny70","country_code":"CN","type":"education","lineage":["https://openalex.org/I16365422"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Aming Wu","raw_affiliation_strings":["School of Computer Science and Information Engineering, Hefei University of Technology,Hefei,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Science and Information Engineering, Hefei University of Technology,Hefei,China","institution_ids":["https://openalex.org/I16365422"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5014697637","display_name":"Yang Li","orcid":"https://orcid.org/0000-0001-7149-7956"},"institutions":[{"id":"https://openalex.org/I162868743","display_name":"Tianjin University","ror":"https://ror.org/012tb2g32","country_code":"CN","type":"education","lineage":["https://openalex.org/I162868743"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yang Li","raw_affiliation_strings":["College of Intelligence and Computing, Tianjin University,Tianjin,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Intelligence and Computing, Tianjin University,Tianjin,China","institution_ids":["https://openalex.org/I162868743"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5073082132","display_name":"Yaowei Wang","orcid":"https://orcid.org/0000-0002-6110-4036"},"institutions":[{"id":"https://openalex.org/I4210136793","display_name":"Peng Cheng Laboratory","ror":"https://ror.org/03qdqbt06","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210136793"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yaowei Wang","raw_affiliation_strings":["Peng Cheng Laboratory,Shenzhen,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Peng Cheng Laboratory,Shenzhen,China","institution_ids":["https://openalex.org/I4210136793"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5066355339","display_name":"Yahong Han","orcid":null},"institutions":[{"id":"https://openalex.org/I162868743","display_name":"Tianjin University","ror":"https://ror.org/012tb2g32","country_code":"CN","type":"education","lineage":["https://openalex.org/I162868743"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yahong Han","raw_affiliation_strings":["College of Intelligence and Computing, Tianjin University,Tianjin,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Intelligence and Computing, Tianjin University,Tianjin,China","institution_ids":["https://openalex.org/I162868743"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.40924614,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"4434","last_page":"4443"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10036","display_name":"Advanced Neural Network Applications","score":0.6360999941825867,"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":0.6360999941825867,"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":0.32670000195503235,"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/T11448","display_name":"Face recognition and analysis","score":0.005400000140070915,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.6389999985694885},{"id":"https://openalex.org/keywords/generalization","display_name":"Generalization","score":0.6187000274658203},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.5432999730110168},{"id":"https://openalex.org/keywords/object-detection","display_name":"Object detection","score":0.5394999980926514},{"id":"https://openalex.org/keywords/object","display_name":"Object (grammar)","score":0.4864000082015991},{"id":"https://openalex.org/keywords/adaptation","display_name":"Adaptation (eye)","score":0.48399999737739563},{"id":"https://openalex.org/keywords/visualization","display_name":"Visualization","score":0.4745999872684479}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7013999819755554},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.6389999985694885},{"id":"https://openalex.org/C177148314","wikidata":"https://www.wikidata.org/wiki/Q170084","display_name":"Generalization","level":2,"score":0.6187000274658203},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.5432999730110168},{"id":"https://openalex.org/C2776151529","wikidata":"https://www.wikidata.org/wiki/Q3045304","display_name":"Object detection","level":3,"score":0.5394999980926514},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5157999992370605},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.4864000082015991},{"id":"https://openalex.org/C139807058","wikidata":"https://www.wikidata.org/wiki/Q352374","display_name":"Adaptation (eye)","level":2,"score":0.48399999737739563},{"id":"https://openalex.org/C36464697","wikidata":"https://www.wikidata.org/wiki/Q451553","display_name":"Visualization","level":2,"score":0.4745999872684479},{"id":"https://openalex.org/C36503486","wikidata":"https://www.wikidata.org/wiki/Q11235244","display_name":"Domain (mathematical analysis)","level":2,"score":0.4007999897003174},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.39559999108314514},{"id":"https://openalex.org/C203595873","wikidata":"https://www.wikidata.org/wiki/Q25389927","display_name":"Change detection","level":2,"score":0.3718999922275543},{"id":"https://openalex.org/C2776434776","wikidata":"https://www.wikidata.org/wiki/Q19246213","display_name":"Domain adaptation","level":3,"score":0.36149999499320984},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.35350000858306885},{"id":"https://openalex.org/C51632099","wikidata":"https://www.wikidata.org/wiki/Q3985153","display_name":"Training set","level":2,"score":0.33180001378059387},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.32910001277923584},{"id":"https://openalex.org/C9652623","wikidata":"https://www.wikidata.org/wiki/Q190109","display_name":"Field (mathematics)","level":2,"score":0.31520000100135803},{"id":"https://openalex.org/C16910744","wikidata":"https://www.wikidata.org/wiki/Q7705759","display_name":"Test data","level":2,"score":0.30640000104904175},{"id":"https://openalex.org/C94915269","wikidata":"https://www.wikidata.org/wiki/Q1834857","display_name":"Detector","level":2,"score":0.30399999022483826}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1109/iccv51701.2025.00422","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iccv51701.2025.00422","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 IEEE/CVF International Conference on Computer Vision (ICCV)","raw_type":"proceedings-article"},{"id":"pmh:oai:arXiv.org:2506.24063","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2506.24063","pdf_url":"https://arxiv.org/pdf/2506.24063","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"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":"text"},{"id":"doi:10.48550/arxiv.2506.24063","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2506.24063","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"Preprint"}],"best_oa_location":{"id":"pmh:oai:arXiv.org:2506.24063","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2506.24063","pdf_url":"https://arxiv.org/pdf/2506.24063","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"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":"text"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G687412074","display_name":null,"funder_award_id":"62376186,62472333","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"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"In":[0],"practice,":[1],"environments":[2],"constantly":[3],"change":[4],"over":[5],"time":[6],"and":[7,23,108,186],"space,":[8],"posing":[9],"significant":[10],"challenges":[11],"for":[12],"object":[13,163],"detectors":[14],"trained":[15],"based":[16,55,128],"on":[17,56,129,158],"a":[18,47,57,82,91,98,115,145],"closed-set":[19],"assumption,":[20],"i.e.,":[21,85],"training":[22],"test":[24,61],"data":[25],"share":[26],"the":[27,68,87,125,130,134,167,174,178,188],"same":[28],"distribution.":[29],"To":[30],"this":[31],"end,":[32],"continual":[33],"test-time":[34],"adaptation":[35],"has":[36],"attracted":[37],"much":[38],"attention,":[39],"aiming":[40],"to":[41,76,90,123,151],"improve":[42],"detectors'":[43],"generalization":[44,189],"by":[45,177],"fine-tuning":[46,63,88],"few":[48],"specific":[49],"parameters,":[50,74],"e.g.,":[51],"BatchNorm":[52],"layers.":[53],"However,":[54],"small":[58],"number":[59],"of":[60,71],"images,":[62],"certain":[64],"parameters":[65,127,180],"may":[66],"affect":[67],"representation":[69,175],"ability":[70],"other":[72],"fixed":[73],"leading":[75],"performance":[77],"degradation.":[78],"Instead,":[79],"we":[80,95,143],"explore":[81],"new":[83],"mechanism,":[84],"converting":[86],"process":[89],"specific-parameter":[92],"generation.":[93],"Particularly,":[94],"first":[96],"design":[97],"dual-path":[99],"LoRA-based":[100],"domain-aware":[101],"adapter":[102],"that":[103,173],"disentangles":[104],"features":[105],"into":[106],"domain-invariant":[107],"domain-specific":[109],"components,":[110],"enabling":[111],"efficient":[112],"adaptation.":[113],"Additionally,":[114],"conditional":[116],"diffusion-based":[117],"parameter":[118],"generation":[119],"mechanism":[120],"is":[121],"presented":[122],"synthesize":[124],"adapter's":[126],"current":[131],"environment,":[132],"preventing":[133],"optimization":[135],"from":[136],"getting":[137],"stuck":[138],"in":[139],"local":[140],"optima.":[141],"Finally,":[142],"propose":[144],"class-centered":[146],"optimal":[147],"transport":[148],"alignment":[149],"method":[150],"mitigate":[152],"catastrophic":[153],"forgetting.":[154],"Extensive":[155],"experiments":[156],"conducted":[157],"various":[159],"continuous":[160],"domain":[161],"adaptive":[162],"detection":[164],"tasks":[165],"demonstrate":[166],"effectiveness.":[168],"Meanwhile,":[169],"visualization":[170],"results":[171],"show":[172],"extracted":[176],"generated":[179],"can":[181],"capture":[182],"more":[183],"object-related":[184],"information":[185],"strengthen":[187],"ability.":[190]},"counts_by_year":[],"updated_date":"2026-08-05T07:39:15.569665","created_date":"2025-10-10T00:00:00"}