{"id":"https://openalex.org/W4415538996","doi":"https://doi.org/10.1145/3746027.3755184","title":"Cross-Domain Attribute Alignment with CLIP: A Rehearsal-Free Approach for Class-Incremental Unsupervised Domain Adaptation","display_name":"Cross-Domain Attribute Alignment with CLIP: A Rehearsal-Free Approach for Class-Incremental Unsupervised Domain Adaptation","publication_year":2025,"publication_date":"2025-10-25","ids":{"openalex":"https://openalex.org/W4415538996","doi":"https://doi.org/10.1145/3746027.3755184"},"language":null,"primary_location":{"id":"doi:10.1145/3746027.3755184","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3746027.3755184","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 33rd ACM International Conference on Multimedia","raw_type":"proceedings-article"},"type":"conference-paper","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/A5044419005","display_name":"Kerun Mi","orcid":"https://orcid.org/0000-0003-2635-2584"},"institutions":[{"id":"https://openalex.org/I36399199","display_name":"Nanjing University of Science and Technology","ror":"https://ror.org/00xp9wg62","country_code":"CN","type":"education","lineage":["https://openalex.org/I36399199"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Kerun Mi","raw_affiliation_strings":["School of Computer Science and Engineering, Nanjing University of Science and Technology, Nanjing, China"],"raw_orcid":"https://orcid.org/0000-0003-2635-2584","affiliations":[{"raw_affiliation_string":"School of Computer Science and Engineering, Nanjing University of Science and Technology, Nanjing, China","institution_ids":["https://openalex.org/I36399199"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5011488839","display_name":"Guoliang Kang","orcid":"https://orcid.org/0000-0003-1978-2025"},"institutions":[{"id":"https://openalex.org/I82880672","display_name":"Beihang University","ror":"https://ror.org/00wk2mp56","country_code":"CN","type":"education","lineage":["https://openalex.org/I82880672"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Guoliang Kang","raw_affiliation_strings":["School of Automation Science and Electrical Engineering, Beihang University, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0003-1978-2025","affiliations":[{"raw_affiliation_string":"School of Automation Science and Electrical Engineering, Beihang University, Beijing, China","institution_ids":["https://openalex.org/I82880672"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100412642","display_name":"Guangyu Li","orcid":"https://orcid.org/0000-0003-4817-0618"},"institutions":[{"id":"https://openalex.org/I36399199","display_name":"Nanjing University of Science and Technology","ror":"https://ror.org/00xp9wg62","country_code":"CN","type":"education","lineage":["https://openalex.org/I36399199"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Guangyu Li","raw_affiliation_strings":["School of Computer Science and Engineering, Nanjing University of Science and Technology, Nanjing, China"],"raw_orcid":"https://orcid.org/0000-0003-4817-0618","affiliations":[{"raw_affiliation_string":"School of Computer Science and Engineering, Nanjing University of Science and Technology, Nanjing, China","institution_ids":["https://openalex.org/I36399199"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Lin Zhao","orcid":"https://orcid.org/0000-0002-8756-2027"},"institutions":[{"id":"https://openalex.org/I36399199","display_name":"Nanjing University of Science and Technology","ror":"https://ror.org/00xp9wg62","country_code":"CN","type":"education","lineage":["https://openalex.org/I36399199"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Lin Zhao","raw_affiliation_strings":["School of Computer Science and Engineering, Nanjing University of Science and Technology, Nanjing, China"],"raw_orcid":"https://orcid.org/0000-0002-8756-2027","affiliations":[{"raw_affiliation_string":"School of Computer Science and Engineering, Nanjing University of Science and Technology, Nanjing, China","institution_ids":["https://openalex.org/I36399199"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101817616","display_name":"Tao Zhou","orcid":"https://orcid.org/0000-0002-3733-7286"},"institutions":[{"id":"https://openalex.org/I36399199","display_name":"Nanjing University of Science and Technology","ror":"https://ror.org/00xp9wg62","country_code":"CN","type":"education","lineage":["https://openalex.org/I36399199"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Tao Zhou","raw_affiliation_strings":["School of Computer Science and Engineering, Nanjing University of Science and Technology, Nanjing, China"],"raw_orcid":"https://orcid.org/0000-0002-3733-7286","affiliations":[{"raw_affiliation_string":"School of Computer Science and Engineering, Nanjing University of Science and Technology, Nanjing, China","institution_ids":["https://openalex.org/I36399199"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101604333","display_name":"Chen Gong","orcid":"https://orcid.org/0000-0002-1154-6194"},"institutions":[{"id":"https://openalex.org/I183067930","display_name":"Shanghai Jiao Tong University","ror":"https://ror.org/0220qvk04","country_code":"CN","type":"education","lineage":["https://openalex.org/I183067930"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chen Gong","raw_affiliation_strings":["School of Automation and Intelligent Sensing, Shanghai Jiao Tong University, Shanghai, China"],"raw_orcid":"https://orcid.org/0000-0002-1154-6194","affiliations":[{"raw_affiliation_string":"School of Automation and Intelligent Sensing, Shanghai Jiao Tong University, Shanghai, China","institution_ids":["https://openalex.org/I183067930"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"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":"7883","last_page":"7892"},"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":0.9997000098228455,"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":0.9997000098228455,"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/T11714","display_name":"Multimodal Machine Learning Applications","score":0.9635999798774719,"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/T12676","display_name":"Machine Learning and ELM","score":0.9581000208854675,"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/forgetting","display_name":"Forgetting","score":0.6973999738693237},{"id":"https://openalex.org/keywords/key","display_name":"Key (lock)","score":0.6039000153541565},{"id":"https://openalex.org/keywords/consistency","display_name":"Consistency (knowledge bases)","score":0.5939000248908997},{"id":"https://openalex.org/keywords/domain","display_name":"Domain (mathematical analysis)","score":0.5735999941825867},{"id":"https://openalex.org/keywords/domain-adaptation","display_name":"Domain adaptation","score":0.5440000295639038},{"id":"https://openalex.org/keywords/disjoint-sets","display_name":"Disjoint sets","score":0.5339999794960022},{"id":"https://openalex.org/keywords/adaptation","display_name":"Adaptation (eye)","score":0.4521999955177307},{"id":"https://openalex.org/keywords/code","display_name":"Code (set theory)","score":0.43630000948905945}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7789000272750854},{"id":"https://openalex.org/C7149132","wikidata":"https://www.wikidata.org/wiki/Q1377840","display_name":"Forgetting","level":2,"score":0.6973999738693237},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.6039000153541565},{"id":"https://openalex.org/C2776436953","wikidata":"https://www.wikidata.org/wiki/Q5163215","display_name":"Consistency (knowledge bases)","level":2,"score":0.5939000248908997},{"id":"https://openalex.org/C36503486","wikidata":"https://www.wikidata.org/wiki/Q11235244","display_name":"Domain (mathematical analysis)","level":2,"score":0.5735999941825867},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5626999735832214},{"id":"https://openalex.org/C2776434776","wikidata":"https://www.wikidata.org/wiki/Q19246213","display_name":"Domain adaptation","level":3,"score":0.5440000295639038},{"id":"https://openalex.org/C45340560","wikidata":"https://www.wikidata.org/wiki/Q215382","display_name":"Disjoint sets","level":2,"score":0.5339999794960022},{"id":"https://openalex.org/C139807058","wikidata":"https://www.wikidata.org/wiki/Q352374","display_name":"Adaptation (eye)","level":2,"score":0.4521999955177307},{"id":"https://openalex.org/C2776760102","wikidata":"https://www.wikidata.org/wiki/Q5139990","display_name":"Code (set theory)","level":3,"score":0.43630000948905945},{"id":"https://openalex.org/C177148314","wikidata":"https://www.wikidata.org/wiki/Q170084","display_name":"Generalization","level":2,"score":0.40959998965263367},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.38359999656677246},{"id":"https://openalex.org/C198531522","wikidata":"https://www.wikidata.org/wiki/Q485146","display_name":"Sample (material)","level":2,"score":0.37940001487731934},{"id":"https://openalex.org/C207685749","wikidata":"https://www.wikidata.org/wiki/Q2088941","display_name":"Domain knowledge","level":2,"score":0.3779999911785126},{"id":"https://openalex.org/C146834321","wikidata":"https://www.wikidata.org/wiki/Q2979672","display_name":"Closure (psychology)","level":2,"score":0.3725000023841858},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3303999900817871},{"id":"https://openalex.org/C43126263","wikidata":"https://www.wikidata.org/wiki/Q128751","display_name":"Source code","level":2,"score":0.33000001311302185},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.31139999628067017},{"id":"https://openalex.org/C36464697","wikidata":"https://www.wikidata.org/wiki/Q451553","display_name":"Visualization","level":2,"score":0.2969000041484833},{"id":"https://openalex.org/C12713177","wikidata":"https://www.wikidata.org/wiki/Q1900281","display_name":"Perspective (graphical)","level":2,"score":0.2793000042438507},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.27140000462532043},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.26089999079704285}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3746027.3755184","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3746027.3755184","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 33rd ACM International Conference on Multimedia","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G2172809940","display_name":null,"funder_award_id":"Nos. 62336003, 12371510, 92370114, 62006119","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/F4320335777","display_name":"National Key Research and Development Program of China","ror":null}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":17,"referenced_works":["https://openalex.org/W2900881947","https://openalex.org/W2962858109","https://openalex.org/W2981885563","https://openalex.org/W3033708404","https://openalex.org/W3093349296","https://openalex.org/W3107315975","https://openalex.org/W3163939464","https://openalex.org/W3198377975","https://openalex.org/W4293789970","https://openalex.org/W4387968176","https://openalex.org/W4388543952","https://openalex.org/W4391305490","https://openalex.org/W4392172801","https://openalex.org/W4392173891","https://openalex.org/W4400680576","https://openalex.org/W4403780803","https://openalex.org/W4406354592"],"related_works":[],"abstract_inverted_index":{"Class-Incremental":[0],"Unsupervised":[1],"Domain":[2],"Adaptation":[3],"(CI-UDA)":[4],"aims":[5],"to":[6,15,43,77,88,130,138,165,173,191,202],"adapt":[7],"a":[8,11,162,192,233],"model":[9],"from":[10,84],"labeled":[12],"source":[13,39],"domain":[14,62,205,230],"an":[16,167],"unlabeled":[17],"target":[18,25,56,82],"domain,":[19],"where":[20,169],"the":[21,38,61,93,110,116,140,149,170,174,178,181,204,229],"sets":[22],"of":[23,37,52],"potential":[24],"classes":[26,57,101],"appearing":[27],"at":[28,105,257],"different":[29,193],"time":[30,86,107],"steps":[31,87],"are":[32,35],"disjoint":[33],"and":[34,79,115,132,135,177,212,218,249],"subsets":[36],"classes.":[40],"The":[41],"key":[42,171],"solving":[44],"this":[45,126],"problem":[46],"lies":[47],"in":[48,122,232],"avoiding":[49],"catastrophic":[50,90,224,252],"forgetting":[51,226],"knowledge":[53,123,137,225],"about":[54],"previous":[55,65,85,246],"during":[58],"continuously":[59,113],"mitigating":[60,228],"shift.":[63],"Most":[64],"works":[66],"cumbersomely":[67],"combine":[68],"two":[69,186],"technical":[70],"components.":[71],"On":[72],"one":[73],"hand,":[74,95],"they":[75,96],"need":[76],"store":[78],"utilize":[80],"rehearsal":[81],"sample":[83],"avoid":[89],"forgetting;":[91],"on":[92,237],"other":[94],"perform":[97,197],"alignment":[98,118,199],"only":[99],"between":[100],"shared":[102],"across":[103,200],"domains":[104,201],"each":[106,189],"step.":[108],"Consequently,":[109],"memory":[111],"will":[112],"increase":[114],"asymmetric":[117],"may":[119],"inevitably":[120],"result":[121],"forgetting.":[124,253],"In":[125,157],"paper,":[127],"we":[128,147,153,160,196,221],"propose":[129],"mine":[131],"preserve":[133],"domain-invariant":[134],"class-agnostic":[136,150],"facilitate":[139],"CI-UDA":[141,239],"task.":[142],"Specifically,":[143],"via":[144,207],"using":[145],"CLIP,":[146],"extract":[148],"properties":[151],"which":[152],"name":[154],"as":[155],"''attribute''.":[156],"our":[158,243],"framework,":[159],"learn":[161],"''key-value''":[163],"pair":[164],"represent":[166],"attribute,":[168],"corresponds":[172],"visual":[175,209],"prototype":[176],"value":[179],"is":[180,255],"textual":[182],"prompt.":[183],"We":[184],"maintain":[185],"attribute":[187,198,216],"dictionaries,":[188],"corresponding":[190],"domain.":[194],"Then":[195],"mitigate":[203],"shift,":[206,231],"encouraging":[208],"attention":[210],"consistency":[211],"prediction":[213],"consistency.":[214],"Through":[215],"modeling":[217],"cross-domain":[219],"alignment,":[220],"effectively":[222,250],"reduce":[223],"while":[227],"rehearsal-free":[234],"way.":[235],"Experiments":[236],"three":[238],"benchmarks":[240],"demonstrate":[241],"that":[242],"method":[244],"outperforms":[245],"state-of-the-art":[247],"methods":[248],"alleviates":[251],"Code":[254],"available":[256],"https://github.com/RyunMi/VisTA.":[258]},"counts_by_year":[],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-25T00:00:00"}
