{"id":"https://openalex.org/W7160074757","doi":"https://doi.org/10.48550/arxiv.2605.00111","title":"AIDA-ReID: Adaptive Intermediate Domain Adaptation for Generalizable and Source-Free Person Re-Identification","display_name":"AIDA-ReID: Adaptive Intermediate Domain Adaptation for Generalizable and Source-Free Person Re-Identification","publication_year":2026,"publication_date":"2026-04-30","ids":{"openalex":"https://openalex.org/W7160074757","doi":"https://doi.org/10.48550/arxiv.2605.00111"},"language":null,"primary_location":{"id":"doi:10.48550/arxiv.2605.00111","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2605.00111","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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Preprint"},"type":"preprint","indexed_in":["datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://doi.org/10.48550/arxiv.2605.00111","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5114217727","display_name":"Sundas Iqbal","orcid":"https://orcid.org/0009-0003-0872-9912"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Iqbal, Sundas","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5135278257","display_name":"Qing Tian","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Tian, Qing","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5135246252","display_name":"Danish Ali","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Ali, Danish","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5135145048","display_name":"Jianping Gou","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Gou, Jianping","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5135123516","display_name":"Weihua Oue","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Oue, Weihua","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10331","display_name":"Video Surveillance and Tracking Methods","score":0.9657999873161316,"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/T10331","display_name":"Video Surveillance and Tracking Methods","score":0.9657999873161316,"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/T10036","display_name":"Advanced Neural Network Applications","score":0.00930000003427267,"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/T12740","display_name":"Gait Recognition and Analysis","score":0.004999999888241291,"subfield":{"id":"https://openalex.org/subfields/2204","display_name":"Biomedical 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/regularization","display_name":"Regularization (linguistics)","score":0.5866000056266785},{"id":"https://openalex.org/keywords/domain","display_name":"Domain (mathematical analysis)","score":0.49939998984336853},{"id":"https://openalex.org/keywords/consistency","display_name":"Consistency (knowledge bases)","score":0.4936999976634979},{"id":"https://openalex.org/keywords/domain-adaptation","display_name":"Domain adaptation","score":0.491100013256073},{"id":"https://openalex.org/keywords/population","display_name":"Population","score":0.46219998598098755},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.4618000090122223},{"id":"https://openalex.org/keywords/bridging","display_name":"Bridging (networking)","score":0.3783000111579895},{"id":"https://openalex.org/keywords/generalization","display_name":"Generalization","score":0.33709999918937683}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6707000136375427},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6115000247955322},{"id":"https://openalex.org/C2776135515","wikidata":"https://www.wikidata.org/wiki/Q17143721","display_name":"Regularization (linguistics)","level":2,"score":0.5866000056266785},{"id":"https://openalex.org/C36503486","wikidata":"https://www.wikidata.org/wiki/Q11235244","display_name":"Domain (mathematical analysis)","level":2,"score":0.49939998984336853},{"id":"https://openalex.org/C2776436953","wikidata":"https://www.wikidata.org/wiki/Q5163215","display_name":"Consistency (knowledge bases)","level":2,"score":0.4936999976634979},{"id":"https://openalex.org/C2776434776","wikidata":"https://www.wikidata.org/wiki/Q19246213","display_name":"Domain adaptation","level":3,"score":0.491100013256073},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4657000005245209},{"id":"https://openalex.org/C2908647359","wikidata":"https://www.wikidata.org/wiki/Q2625603","display_name":"Population","level":2,"score":0.46219998598098755},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.4618000090122223},{"id":"https://openalex.org/C174348530","wikidata":"https://www.wikidata.org/wiki/Q188635","display_name":"Bridging (networking)","level":2,"score":0.3783000111579895},{"id":"https://openalex.org/C177148314","wikidata":"https://www.wikidata.org/wiki/Q170084","display_name":"Generalization","level":2,"score":0.33709999918937683},{"id":"https://openalex.org/C2778355321","wikidata":"https://www.wikidata.org/wiki/Q17079427","display_name":"Identity (music)","level":2,"score":0.30959999561309814},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.30630001425743103},{"id":"https://openalex.org/C2780992000","wikidata":"https://www.wikidata.org/wiki/Q17016113","display_name":"Generator (circuit theory)","level":3,"score":0.3043000102043152},{"id":"https://openalex.org/C139807058","wikidata":"https://www.wikidata.org/wiki/Q352374","display_name":"Adaptation (eye)","level":2,"score":0.2928999960422516},{"id":"https://openalex.org/C188198153","wikidata":"https://www.wikidata.org/wiki/Q1613840","display_name":"Limiting","level":2,"score":0.2879999876022339},{"id":"https://openalex.org/C92548554","wikidata":"https://www.wikidata.org/wiki/Q2262868","display_name":"Domain model","level":3,"score":0.274399995803833},{"id":"https://openalex.org/C51632099","wikidata":"https://www.wikidata.org/wiki/Q3985153","display_name":"Training set","level":2,"score":0.272599995136261},{"id":"https://openalex.org/C83665646","wikidata":"https://www.wikidata.org/wiki/Q42139305","display_name":"Feature vector","level":2,"score":0.2709999978542328}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.48550/arxiv.2605.00111","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2605.00111","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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"Preprint"}],"best_oa_location":{"id":"doi:10.48550/arxiv.2605.00111","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2605.00111","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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Preprint"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"Person":[0],"re-identification":[1],"(Re-ID)":[2],"aims":[3],"to":[4,19,86,105],"match":[5],"images":[6],"of":[7,174],"the":[8,172,175],"same":[9],"individual":[10],"across":[11,165],"non-overlapping":[12],"camera":[13,28],"views":[14],"and":[15,30,41,60,79,88,127,140,168],"remains":[16],"challenging":[17],"due":[18],"domain":[20,55,146,161,166],"shifts":[21],"caused":[22],"by":[23,65],"variations":[24],"in":[25,50],"illumination,":[26],"background,":[27],"characteristics,":[29],"population":[31],"distributions.":[32],"Although":[33],"supervised":[34],"models":[35],"perform":[36],"well":[37],"under":[38,160],"matched":[39],"training":[40,141],"testing":[42],"conditions,":[43],"their":[44,84],"performance":[45],"degrades":[46],"significantly":[47],"when":[48],"deployed":[49],"unseen":[51],"environments.":[52],"Existing":[53],"intermediate":[54,145,150],"approaches":[56],"such":[57],"as":[58,106,119],"IDM":[59],"IDM++":[61],"alleviate":[62],"this":[63,95],"gap":[64],"constructing":[66],"bridge":[67],"feature":[68,125],"distributions":[69],"between":[70],"domains;":[71],"however,":[72],"they":[73],"rely":[74],"on":[75],"fixed":[76],"mixing":[77,126],"strategies":[78],"joint":[80],"source-target":[81],"access,":[82],"limiting":[83],"applicability":[85],"multi-source":[87,144],"source-free":[89,169],"settings.":[90],"To":[91],"address":[92],"these":[93],"limitations,":[94],"paper":[96],"proposes":[97],"Adaptive":[98],"Intermediate":[99,109],"Domain":[100,110],"Adaptation":[101,111],"(AIDA),":[102],"also":[103],"referred":[104],"Source-Free":[107],"Multi-Source":[108],"(SF-MIDA).":[112],"The":[113],"proposed":[114,176],"framework":[115],"treats":[116],"intermediate-domain":[117],"learning":[118],"a":[120,153],"dynamically":[121],"regulated":[122],"process,":[123],"where":[124],"regularization":[128,155],"strength":[129],"are":[130],"adaptively":[131],"controlled":[132],"using":[133],"feedback":[134],"signals":[135],"derived":[136],"from":[137],"model":[138],"uncertainty":[139],"stability.":[142],"A":[143],"generator":[147],"synthesizes":[148],"diverse":[149],"representations,":[151],"while":[152],"pseudo-mirror":[154],"strategy":[156],"preserves":[157],"identity":[158],"consistency":[159],"perturbations.":[162],"Extensive":[163],"experiments":[164],"generalization":[167],"settings":[170],"demonstrate":[171],"effectiveness":[173],"framework.":[177]},"counts_by_year":[],"updated_date":"2026-07-28T07:46:37.118299","created_date":"2026-05-05T00:00:00"}