{"id":"https://openalex.org/W4406207915","doi":"https://doi.org/10.1109/tmi.2025.3525902","title":"Cross-Domain Invariant Feature Absorption and Domain-Specific Feature Retention for Domain Incremental Chest X-Ray Classification","display_name":"Cross-Domain Invariant Feature Absorption and Domain-Specific Feature Retention for Domain Incremental Chest X-Ray Classification","publication_year":2025,"publication_date":"2025-01-09","ids":{"openalex":"https://openalex.org/W4406207915","doi":"https://doi.org/10.1109/tmi.2025.3525902","pmid":"https://pubmed.ncbi.nlm.nih.gov/40030951"},"language":"en","primary_location":{"id":"doi:10.1109/tmi.2025.3525902","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tmi.2025.3525902","pdf_url":null,"source":{"id":"https://openalex.org/S58069681","display_name":"IEEE Transactions on Medical Imaging","issn_l":"0278-0062","issn":["0278-0062","1558-254X"],"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 Transactions on Medical Imaging","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","pubmed"],"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/A5108287298","display_name":"M.Z. Yang Y. Luo Y. Wang","orcid":null},"institutions":[{"id":"https://openalex.org/I87445476","display_name":"Xi'an Jiaotong University","ror":"https://ror.org/017zhmm22","country_code":"CN","type":"education","lineage":["https://openalex.org/I87445476"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Mengchu Wang","raw_affiliation_strings":["School of Software Engineering, Xi’an Jiaotong University, Xi’an, China"],"affiliations":[{"raw_affiliation_string":"School of Software Engineering, Xi’an Jiaotong University, Xi’an, China","institution_ids":["https://openalex.org/I87445476"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102819064","display_name":"Yuhang He","orcid":"https://orcid.org/0000-0002-6750-1403"},"institutions":[{"id":"https://openalex.org/I87445476","display_name":"Xi'an Jiaotong University","ror":"https://ror.org/017zhmm22","country_code":"CN","type":"education","lineage":["https://openalex.org/I87445476"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yuhang He","raw_affiliation_strings":["College of Artificial Intelligence, Xi’an Jiaotong University, Xi’an, China"],"affiliations":[{"raw_affiliation_string":"College of Artificial Intelligence, Xi’an Jiaotong University, Xi’an, China","institution_ids":["https://openalex.org/I87445476"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100439446","display_name":"Peng Lin","orcid":"https://orcid.org/0000-0002-7589-3160"},"institutions":[{"id":"https://openalex.org/I87445476","display_name":"Xi'an Jiaotong University","ror":"https://ror.org/017zhmm22","country_code":"CN","type":"education","lineage":["https://openalex.org/I87445476"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Lin Peng","raw_affiliation_strings":["College of Artificial Intelligence, Xi’an Jiaotong University, Xi’an, China"],"affiliations":[{"raw_affiliation_string":"College of Artificial Intelligence, Xi’an Jiaotong University, Xi’an, China","institution_ids":["https://openalex.org/I87445476"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101675533","display_name":"Xiang Song","orcid":"https://orcid.org/0000-0003-1740-9104"},"institutions":[{"id":"https://openalex.org/I87445476","display_name":"Xi'an Jiaotong University","ror":"https://ror.org/017zhmm22","country_code":"CN","type":"education","lineage":["https://openalex.org/I87445476"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiang Song","raw_affiliation_strings":["School of Software Engineering, Xi’an Jiaotong University, Xi’an, China"],"affiliations":[{"raw_affiliation_string":"School of Software Engineering, Xi’an Jiaotong University, Xi’an, China","institution_ids":["https://openalex.org/I87445476"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5052418585","display_name":"Songlin Dong","orcid":"https://orcid.org/0000-0001-7854-3417"},"institutions":[{"id":"https://openalex.org/I87445476","display_name":"Xi'an Jiaotong University","ror":"https://ror.org/017zhmm22","country_code":"CN","type":"education","lineage":["https://openalex.org/I87445476"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Songlin Dong","raw_affiliation_strings":["College of Artificial Intelligence, Xi’an Jiaotong University, Xi’an, China"],"affiliations":[{"raw_affiliation_string":"College of Artificial Intelligence, Xi’an Jiaotong University, Xi’an, China","institution_ids":["https://openalex.org/I87445476"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100687952","display_name":"Yihong Gong","orcid":"https://orcid.org/0000-0002-1793-5836"},"institutions":[{"id":"https://openalex.org/I87445476","display_name":"Xi'an Jiaotong University","ror":"https://ror.org/017zhmm22","country_code":"CN","type":"education","lineage":["https://openalex.org/I87445476"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yihong Gong","raw_affiliation_strings":["College of Artificial Intelligence, Xi’an Jiaotong University, Xi’an, China"],"affiliations":[{"raw_affiliation_string":"College of Artificial Intelligence, Xi’an Jiaotong University, Xi’an, China","institution_ids":["https://openalex.org/I87445476"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5108287298"],"corresponding_institution_ids":["https://openalex.org/I87445476"],"apc_list":null,"apc_paid":null,"fwci":2.8582,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.87280928,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":99},"biblio":{"volume":"44","issue":"5","first_page":"2041","last_page":"2055"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11775","display_name":"COVID-19 diagnosis using AI","score":0.9973000288009644,"subfield":{"id":"https://openalex.org/subfields/2741","display_name":"Radiology, Nuclear Medicine and Imaging"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}},"topics":[{"id":"https://openalex.org/T11775","display_name":"COVID-19 diagnosis using AI","score":0.9973000288009644,"subfield":{"id":"https://openalex.org/subfields/2741","display_name":"Radiology, Nuclear Medicine and Imaging"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}},{"id":"https://openalex.org/T10202","display_name":"Lung Cancer Diagnosis and Treatment","score":0.965499997138977,"subfield":{"id":"https://openalex.org/subfields/2740","display_name":"Pulmonary and Respiratory Medicine"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}},{"id":"https://openalex.org/T12422","display_name":"Radiomics and Machine Learning in Medical Imaging","score":0.9348000288009644,"subfield":{"id":"https://openalex.org/subfields/2741","display_name":"Radiology, Nuclear Medicine and Imaging"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6988393068313599},{"id":"https://openalex.org/keywords/adapter","display_name":"Adapter (computing)","score":0.57569819688797},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5556398630142212},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.5343818664550781},{"id":"https://openalex.org/keywords/leverage","display_name":"Leverage (statistics)","score":0.5223111510276794},{"id":"https://openalex.org/keywords/cad","display_name":"CAD","score":0.4755555987358093},{"id":"https://openalex.org/keywords/domain","display_name":"Domain (mathematical analysis)","score":0.4684982895851135},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.46148815751075745},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.42896491289138794},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3403959274291992},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.1445906162261963},{"id":"https://openalex.org/keywords/computer-hardware","display_name":"Computer hardware","score":0.10759255290031433},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.10521739721298218},{"id":"https://openalex.org/keywords/engineering-drawing","display_name":"Engineering drawing","score":0.09015259146690369}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6988393068313599},{"id":"https://openalex.org/C177284502","wikidata":"https://www.wikidata.org/wiki/Q1005390","display_name":"Adapter (computing)","level":2,"score":0.57569819688797},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5556398630142212},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.5343818664550781},{"id":"https://openalex.org/C153083717","wikidata":"https://www.wikidata.org/wiki/Q6535263","display_name":"Leverage (statistics)","level":2,"score":0.5223111510276794},{"id":"https://openalex.org/C194789388","wikidata":"https://www.wikidata.org/wiki/Q17855283","display_name":"CAD","level":2,"score":0.4755555987358093},{"id":"https://openalex.org/C36503486","wikidata":"https://www.wikidata.org/wiki/Q11235244","display_name":"Domain (mathematical analysis)","level":2,"score":0.4684982895851135},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.46148815751075745},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.42896491289138794},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3403959274291992},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.1445906162261963},{"id":"https://openalex.org/C9390403","wikidata":"https://www.wikidata.org/wiki/Q3966","display_name":"Computer hardware","level":1,"score":0.10759255290031433},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.10521739721298218},{"id":"https://openalex.org/C199639397","wikidata":"https://www.wikidata.org/wiki/Q1788588","display_name":"Engineering drawing","level":1,"score":0.09015259146690369},{"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}],"mesh":[{"descriptor_ui":"D000069550","descriptor_name":"Machine Learning","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000069550","descriptor_name":"Machine Learning","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000069550","descriptor_name":"Machine Learning","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000069550","descriptor_name":"Machine Learning","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000069550","descriptor_name":"Machine Learning","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D008168","descriptor_name":"Lung","qualifier_ui":"Q000000981","qualifier_name":"diagnostic imaging","is_major_topic":false},{"descriptor_ui":"D008168","descriptor_name":"Lung","qualifier_ui":"Q000000981","qualifier_name":"diagnostic imaging","is_major_topic":false},{"descriptor_ui":"D008168","descriptor_name":"Lung","qualifier_ui":"Q000000981","qualifier_name":"diagnostic imaging","is_major_topic":false},{"descriptor_ui":"D008168","descriptor_name":"Lung","qualifier_ui":"Q000000981","qualifier_name":"diagnostic imaging","is_major_topic":false},{"descriptor_ui":"D008168","descriptor_name":"Lung","qualifier_ui":"Q000000981","qualifier_name":"diagnostic imaging","is_major_topic":false},{"descriptor_ui":"D011857","descriptor_name":"Radiographic Image Interpretation, Computer-Assisted","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":true},{"descriptor_ui":"D011857","descriptor_name":"Radiographic Image Interpretation, Computer-Assisted","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":true},{"descriptor_ui":"D011857","descriptor_name":"Radiographic Image Interpretation, Computer-Assisted","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":true},{"descriptor_ui":"D011857","descriptor_name":"Radiographic Image Interpretation, Computer-Assisted","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":true},{"descriptor_ui":"D011857","descriptor_name":"Radiographic Image Interpretation, Computer-Assisted","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":true},{"descriptor_ui":"D013902","descriptor_name":"Radiography, Thoracic","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":true},{"descriptor_ui":"D013902","descriptor_name":"Radiography, Thoracic","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":true},{"descriptor_ui":"D013902","descriptor_name":"Radiography, Thoracic","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":true},{"descriptor_ui":"D013902","descriptor_name":"Radiography, Thoracic","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":true},{"descriptor_ui":"D013902","descriptor_name":"Radiography, Thoracic","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":true}],"locations_count":2,"locations":[{"id":"doi:10.1109/tmi.2025.3525902","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tmi.2025.3525902","pdf_url":null,"source":{"id":"https://openalex.org/S58069681","display_name":"IEEE Transactions on Medical Imaging","issn_l":"0278-0062","issn":["0278-0062","1558-254X"],"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 Transactions on Medical Imaging","raw_type":"journal-article"},{"id":"pmid:40030951","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/40030951","pdf_url":null,"source":{"id":"https://openalex.org/S4306525036","display_name":"PubMed","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE transactions on medical imaging","raw_type":null}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G3038487828","display_name":null,"funder_award_id":"2024M752584","funder_id":"https://openalex.org/F4320321543","funder_display_name":"China Postdoctoral Science Foundation"},{"id":"https://openalex.org/G6408364431","display_name":null,"funder_award_id":"U21B2048","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G6441506416","display_name":null,"funder_award_id":"62302382","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/F4320321543","display_name":"China Postdoctoral Science Foundation","ror":"https://ror.org/0426zh255"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":77,"referenced_works":["https://openalex.org/W2108598243","https://openalex.org/W2115403315","https://openalex.org/W2116522068","https://openalex.org/W2130147855","https://openalex.org/W2152772232","https://openalex.org/W2473930607","https://openalex.org/W2560647685","https://openalex.org/W2611650229","https://openalex.org/W2627183927","https://openalex.org/W2734314755","https://openalex.org/W2743151379","https://openalex.org/W2794918741","https://openalex.org/W2842511635","https://openalex.org/W2912664121","https://openalex.org/W2963072899","https://openalex.org/W2963446712","https://openalex.org/W2963466845","https://openalex.org/W2963588172","https://openalex.org/W2964189064","https://openalex.org/W2979865228","https://openalex.org/W2982410595","https://openalex.org/W2984957018","https://openalex.org/W2995225687","https://openalex.org/W3001118548","https://openalex.org/W3003217347","https://openalex.org/W3008985036","https://openalex.org/W3018638193","https://openalex.org/W3020653337","https://openalex.org/W3035161717","https://openalex.org/W3035986928","https://openalex.org/W3094502228","https://openalex.org/W3094953068","https://openalex.org/W3108280718","https://openalex.org/W3114128166","https://openalex.org/W3119438769","https://openalex.org/W3123699722","https://openalex.org/W3133631487","https://openalex.org/W3159019058","https://openalex.org/W3173397338","https://openalex.org/W3175314453","https://openalex.org/W3175479073","https://openalex.org/W3176602994","https://openalex.org/W3176828726","https://openalex.org/W3177032574","https://openalex.org/W3180849682","https://openalex.org/W3181127262","https://openalex.org/W3184758801","https://openalex.org/W3203518059","https://openalex.org/W3203713564","https://openalex.org/W3208040116","https://openalex.org/W4282915755","https://openalex.org/W4285114401","https://openalex.org/W4285827178","https://openalex.org/W4288739153","https://openalex.org/W4312238419","https://openalex.org/W4312651322","https://openalex.org/W4384627094","https://openalex.org/W4394625765","https://openalex.org/W6677258307","https://openalex.org/W6738602802","https://openalex.org/W6741217325","https://openalex.org/W6746693533","https://openalex.org/W6747837551","https://openalex.org/W6749029207","https://openalex.org/W6751591294","https://openalex.org/W6755715394","https://openalex.org/W6755950020","https://openalex.org/W6760883817","https://openalex.org/W6763462227","https://openalex.org/W6772577720","https://openalex.org/W6776188292","https://openalex.org/W6788135285","https://openalex.org/W6796581206","https://openalex.org/W6803966525","https://openalex.org/W6838900495","https://openalex.org/W6841536812","https://openalex.org/W6857752582"],"related_works":["https://openalex.org/W2133028525","https://openalex.org/W4229060448","https://openalex.org/W4306381730","https://openalex.org/W2981692913","https://openalex.org/W3044188621","https://openalex.org/W3184035966","https://openalex.org/W2485605994","https://openalex.org/W2160602540","https://openalex.org/W4385571108","https://openalex.org/W4200251711"],"abstract_inverted_index":{"Chest":[0],"X-ray":[1],"(CXR)":[2],"images":[3],"have":[4],"been":[5],"widely":[6],"adopted":[7],"in":[8,14,33,68,149,162],"clinical":[9,36],"care":[10],"and":[11,44,78,102,120,143,166,196],"pathological":[12],"diagnosis":[13],"recent":[15],"years.":[16],"Some":[17],"advanced":[18],"methods":[19,195],"on":[20],"CXR":[21],"classification":[22],"task":[23],"achieve":[24],"impressive":[25],"performance":[26],"by":[27],"training":[28,164],"the":[29,34,38,98,111,118,128,138,147,163,168,190],"model":[30,39],"statically.":[31],"However,":[32],"real":[35],"environment,":[37],"needs":[40],"to":[41,57,96,109,126,146,152,180],"learn":[42,97,110],"continually":[43],"this":[45,69],"can":[46],"be":[47,85],"viewed":[48],"as":[49],"a":[50,73,89,103],"domain":[51,59,99,142,182],"incremental":[52,183],"learning":[53,184],"(DIL)":[54],"problem.":[55],"Due":[56],"large":[58],"gaps,":[60],"DIL":[61],"is":[62,124,160],"faced":[63],"with":[64],"catastrophic":[65],"forgetting.":[66,154],"Therefore,":[67],"paper,":[70],"we":[71,87],"propose":[72],"Cross-domain":[74,90],"invariant":[75,100],"feature":[76,80],"absorption":[77],"Domain-specific":[79],"retention":[81],"(CaD)":[82],"framework.":[83],"To":[84],"specific,":[86],"adopt":[88],"Invariant":[91],"Feature":[92,105],"Absorption":[93],"(CIFA)":[94],"module":[95,108,116,136],"knowledge":[101],"Domain-Specific":[104],"Retention":[106],"(DSFR)":[107],"domain-specific":[112],"knowledge.":[113],"The":[114,134],"CIFA":[115],"contains":[117,137],"C(lass)-adapter":[119],"an":[121],"absorbing":[122],"strategy":[123],"used":[125,161],"fuse":[127],"common":[129],"features":[130],"among":[131],"different":[132],"domains.":[133],"DSFR":[135],"D(omain)-adapter":[139],"for":[140],"each":[141,172],"it":[144,197],"connects":[145],"network":[148],"parallel":[150],"independently":[151],"prevent":[153],"A":[155],"multi-label":[156],"contrastive":[157],"loss":[158],"(MLCL)":[159],"process":[165],"improves":[167],"class":[169],"distinctiveness":[170],"within":[171],"domain.":[173],"We":[174],"leverage":[175],"publicly":[176],"available":[177],"large-scale":[178],"datasets":[179],"simulate":[181],"scenarios,":[185],"extensive":[186],"experimental":[187],"results":[188],"substantiate":[189],"effectiveness":[191],"of":[192],"our":[193],"proposed":[194],"has":[198],"reached":[199],"state-of-the-art":[200],"performance.":[201]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}