{"id":"https://openalex.org/W4392693801","doi":"https://doi.org/10.1109/tip.2024.3374222","title":"Enhancing Information Maximization With Distance-Aware Contrastive Learning for Source-Free Cross-Domain Few-Shot Learning","display_name":"Enhancing Information Maximization With Distance-Aware Contrastive Learning for Source-Free Cross-Domain Few-Shot Learning","publication_year":2024,"publication_date":"2024-01-01","ids":{"openalex":"https://openalex.org/W4392693801","doi":"https://doi.org/10.1109/tip.2024.3374222","pmid":"https://pubmed.ncbi.nlm.nih.gov/38470576"},"language":"en","primary_location":{"id":"doi:10.1109/tip.2024.3374222","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tip.2024.3374222","pdf_url":null,"source":{"id":"https://openalex.org/S4210173141","display_name":"IEEE Transactions on Image Processing","issn_l":"1057-7149","issn":["1057-7149","1941-0042"],"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 Image Processing","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/A5110532983","display_name":"Huali Xu","orcid":"https://orcid.org/0000-0003-2335-420X"},"institutions":[{"id":"https://openalex.org/I205237279","display_name":"Nankai University","ror":"https://ror.org/01y1kjr75","country_code":"CN","type":"education","lineage":["https://openalex.org/I205237279"]},{"id":"https://openalex.org/I98381234","display_name":"University of Oulu","ror":"https://ror.org/03yj89h83","country_code":"FI","type":"education","lineage":["https://openalex.org/I98381234"]}],"countries":["CN","FI"],"is_corresponding":false,"raw_author_name":"Huali Xu","raw_affiliation_strings":["College of Computer Science, Nankai University, Tianjin, China","Center for Machine Vision and Signal Analysis (CMVS), University of Oulu, Oulu, Finland"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Computer Science, Nankai University, Tianjin, China","institution_ids":["https://openalex.org/I205237279"]},{"raw_affiliation_string":"Center for Machine Vision and Signal Analysis (CMVS), University of Oulu, Oulu, Finland","institution_ids":["https://openalex.org/I98381234"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100418783","display_name":"Li Liu","orcid":"https://orcid.org/0000-0002-2011-2873"},"institutions":[{"id":"https://openalex.org/I170215575","display_name":"National University of Defense Technology","ror":"https://ror.org/05d2yfz11","country_code":"CN","type":"education","lineage":["https://openalex.org/I170215575"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Li Liu","raw_affiliation_strings":["College of Electronic Science and Technology, National University of Defense Technology, Changsha, China"],"raw_orcid":"https://orcid.org/0000-0002-2011-2873","affiliations":[{"raw_affiliation_string":"College of Electronic Science and Technology, National University of Defense Technology, Changsha, China","institution_ids":["https://openalex.org/I170215575"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5057291583","display_name":"Shuaifeng Zhi","orcid":"https://orcid.org/0000-0002-5927-5426"},"institutions":[{"id":"https://openalex.org/I170215575","display_name":"National University of Defense Technology","ror":"https://ror.org/05d2yfz11","country_code":"CN","type":"education","lineage":["https://openalex.org/I170215575"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shuaifeng Zhi","raw_affiliation_strings":["College of Electronic Science and Technology, National University of Defense Technology, Changsha, China"],"raw_orcid":"https://orcid.org/0000-0002-5927-5426","affiliations":[{"raw_affiliation_string":"College of Electronic Science and Technology, National University of Defense Technology, Changsha, China","institution_ids":["https://openalex.org/I170215575"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5032664581","display_name":"Shaojing Fu","orcid":"https://orcid.org/0000-0002-8155-7462"},"institutions":[{"id":"https://openalex.org/I170215575","display_name":"National University of Defense Technology","ror":"https://ror.org/05d2yfz11","country_code":"CN","type":"education","lineage":["https://openalex.org/I170215575"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shaojing Fu","raw_affiliation_strings":["College of Computer, National University of Defense Technology, Changsha, China"],"raw_orcid":"https://orcid.org/0000-0002-8155-7462","affiliations":[{"raw_affiliation_string":"College of Computer, National University of Defense Technology, Changsha, China","institution_ids":["https://openalex.org/I170215575"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5010794708","display_name":"Zhuo Su","orcid":"https://orcid.org/0000-0002-6448-0651"},"institutions":[{"id":"https://openalex.org/I98381234","display_name":"University of Oulu","ror":"https://ror.org/03yj89h83","country_code":"FI","type":"education","lineage":["https://openalex.org/I98381234"]}],"countries":["FI"],"is_corresponding":false,"raw_author_name":"Zhuo Su","raw_affiliation_strings":["Center for Machine Vision and Signal Analysis (CMVS), University of Oulu, Oulu, Finland"],"raw_orcid":"https://orcid.org/0000-0002-6448-0651","affiliations":[{"raw_affiliation_string":"Center for Machine Vision and Signal Analysis (CMVS), University of Oulu, Oulu, Finland","institution_ids":["https://openalex.org/I98381234"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5037131575","display_name":"Ming\u2010Ming Cheng","orcid":"https://orcid.org/0000-0001-5550-8758"},"institutions":[{"id":"https://openalex.org/I205237279","display_name":"Nankai University","ror":"https://ror.org/01y1kjr75","country_code":"CN","type":"education","lineage":["https://openalex.org/I205237279"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ming-Ming Cheng","raw_affiliation_strings":["TKLNDST, College of Computer Science, Nankai University, Tianjin, China","College of Computer Science, Nankai University, TKLNDST, Tianjin, China"],"raw_orcid":"https://orcid.org/0000-0001-5550-8758","affiliations":[{"raw_affiliation_string":"TKLNDST, College of Computer Science, Nankai University, Tianjin, China","institution_ids":["https://openalex.org/I205237279"]},{"raw_affiliation_string":"College of Computer Science, Nankai University, TKLNDST, Tianjin, China","institution_ids":["https://openalex.org/I205237279"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5054002392","display_name":"Yongxiang Liu","orcid":"https://orcid.org/0000-0002-0682-8365"},"institutions":[{"id":"https://openalex.org/I170215575","display_name":"National University of Defense Technology","ror":"https://ror.org/05d2yfz11","country_code":"CN","type":"education","lineage":["https://openalex.org/I170215575"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yongxiang Liu","raw_affiliation_strings":["College of Electronic Science and Technology, National University of Defense Technology, Changsha, China"],"raw_orcid":"https://orcid.org/0000-0002-0682-8365","affiliations":[{"raw_affiliation_string":"College of Electronic Science and Technology, National University of Defense Technology, Changsha, China","institution_ids":["https://openalex.org/I170215575"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":7.5019,"has_fulltext":false,"cited_by_count":27,"citation_normalized_percentile":{"value":0.97621421,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":96,"max":100},"biblio":{"volume":"33","issue":null,"first_page":"2058","last_page":"2073"},"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":0.9991000294685364,"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":0.9991000294685364,"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/T11775","display_name":"COVID-19 diagnosis using AI","score":0.9742000102996826,"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/T11609","display_name":"Geophysical Methods and Applications","score":0.9650999903678894,"subfield":{"id":"https://openalex.org/subfields/2212","display_name":"Ocean 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/computer-science","display_name":"Computer science","score":0.7995040416717529},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5704229474067688},{"id":"https://openalex.org/keywords/maximization","display_name":"Maximization","score":0.5132730007171631},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.50274658203125},{"id":"https://openalex.org/keywords/multi-source","display_name":"Multi-source","score":0.4481196403503418},{"id":"https://openalex.org/keywords/domain","display_name":"Domain (mathematical analysis)","score":0.44064509868621826},{"id":"https://openalex.org/keywords/data-modeling","display_name":"Data modeling","score":0.43264853954315186},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.41614076495170593},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3621768653392792},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.09544378519058228},{"id":"https://openalex.org/keywords/database","display_name":"Database","score":0.09276697039604187}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7995040416717529},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5704229474067688},{"id":"https://openalex.org/C2776330181","wikidata":"https://www.wikidata.org/wiki/Q18358244","display_name":"Maximization","level":2,"score":0.5132730007171631},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.50274658203125},{"id":"https://openalex.org/C2780665216","wikidata":"https://www.wikidata.org/wiki/Q6934498","display_name":"Multi-source","level":2,"score":0.4481196403503418},{"id":"https://openalex.org/C36503486","wikidata":"https://www.wikidata.org/wiki/Q11235244","display_name":"Domain (mathematical analysis)","level":2,"score":0.44064509868621826},{"id":"https://openalex.org/C67186912","wikidata":"https://www.wikidata.org/wiki/Q367664","display_name":"Data modeling","level":2,"score":0.43264853954315186},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.41614076495170593},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3621768653392792},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.09544378519058228},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.09276697039604187},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/tip.2024.3374222","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tip.2024.3374222","pdf_url":null,"source":{"id":"https://openalex.org/S4210173141","display_name":"IEEE Transactions on Image Processing","issn_l":"1057-7149","issn":["1057-7149","1941-0042"],"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 Image Processing","raw_type":"journal-article"},{"id":"pmid:38470576","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/38470576","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 image processing : a publication of the IEEE Signal Processing Society","raw_type":null}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G1292174697","display_name":null,"funder_award_id":"2023TQ0088","funder_id":"https://openalex.org/F4320321543","funder_display_name":"China Postdoctoral Science Foundation"},{"id":"https://openalex.org/G1713519956","display_name":null,"funder_award_id":"GZC20233539","funder_id":"https://openalex.org/F4320321543","funder_display_name":"China Postdoctoral Science Foundation"},{"id":"https://openalex.org/G2443591357","display_name":"LESLearn: Label, Energy and Sample Efficient Feature Representation and Learning in Computer Vision","funder_award_id":"331883","funder_id":"https://openalex.org/F4320321108","funder_display_name":"Academy of Finland"},{"id":"https://openalex.org/G4515271549","display_name":null,"funder_award_id":"JS2023-03","funder_id":"https://openalex.org/F4320324150","funder_display_name":"National University of Defense Technology"},{"id":"https://openalex.org/G5025625343","display_name":null,"funder_award_id":"62201603","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5616526104","display_name":null,"funder_award_id":"2021YFB3100800","funder_id":"https://openalex.org/F4320335777","funder_display_name":"National Key Research and Development Program of China"},{"id":"https://openalex.org/G7774348999","display_name":null,"funder_award_id":"62376283","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G8008312880","display_name":null,"funder_award_id":"331883","funder_id":"https://openalex.org/F4320321108","funder_display_name":"Academy of Finland"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320321108","display_name":"Academy of Finland","ror":"https://ror.org/05k73zm37"},{"id":"https://openalex.org/F4320321543","display_name":"China Postdoctoral Science Foundation","ror":"https://ror.org/0426zh255"},{"id":"https://openalex.org/F4320324150","display_name":"National University of Defense Technology","ror":"https://ror.org/05d2yfz11"},{"id":"https://openalex.org/F4320335777","display_name":"National Key Research and Development Program of China","ror":null}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":74,"referenced_works":["https://openalex.org/W2132682120","https://openalex.org/W2156909104","https://openalex.org/W2194321275","https://openalex.org/W2473156356","https://openalex.org/W2611650229","https://openalex.org/W2626107033","https://openalex.org/W2794825826","https://openalex.org/W2842511635","https://openalex.org/W2932083555","https://openalex.org/W2964105864","https://openalex.org/W2964194231","https://openalex.org/W2988501586","https://openalex.org/W3025345330","https://openalex.org/W3034942609","https://openalex.org/W3035492231","https://openalex.org/W3046698617","https://openalex.org/W3101156210","https://openalex.org/W3102785203","https://openalex.org/W3110608229","https://openalex.org/W3159907343","https://openalex.org/W3175370657","https://openalex.org/W3189329097","https://openalex.org/W3189656202","https://openalex.org/W3201461236","https://openalex.org/W3203098462","https://openalex.org/W4213019189","https://openalex.org/W4214715922","https://openalex.org/W4226267130","https://openalex.org/W4226409656","https://openalex.org/W4280624728","https://openalex.org/W4283724240","https://openalex.org/W4283760989","https://openalex.org/W4288073030","https://openalex.org/W4292794112","https://openalex.org/W4297808394","https://openalex.org/W4304014651","https://openalex.org/W4308639331","https://openalex.org/W4312120191","https://openalex.org/W4312399508","https://openalex.org/W4312529269","https://openalex.org/W4312651322","https://openalex.org/W4312939248","https://openalex.org/W4319163914","https://openalex.org/W4321484009","https://openalex.org/W4327671819","https://openalex.org/W4360584643","https://openalex.org/W4365482845","https://openalex.org/W4366462713","https://openalex.org/W4367397007","https://openalex.org/W4367834670","https://openalex.org/W4382365322","https://openalex.org/W4386065510","https://openalex.org/W4386071574","https://openalex.org/W4386597091","https://openalex.org/W6674787384","https://openalex.org/W6679517787","https://openalex.org/W6687400500","https://openalex.org/W6717697761","https://openalex.org/W6734376636","https://openalex.org/W6736057607","https://openalex.org/W6748555532","https://openalex.org/W6755766585","https://openalex.org/W6772329248","https://openalex.org/W6777285478","https://openalex.org/W6784403933","https://openalex.org/W6785294976","https://openalex.org/W6785450627","https://openalex.org/W6791353385","https://openalex.org/W6796401684","https://openalex.org/W6802028791","https://openalex.org/W6810496047","https://openalex.org/W6838902333","https://openalex.org/W6851417600","https://openalex.org/W6858038365"],"related_works":["https://openalex.org/W2947806671","https://openalex.org/W2390878257","https://openalex.org/W3147584709","https://openalex.org/W2144260821","https://openalex.org/W2977677679","https://openalex.org/W1992327129","https://openalex.org/W2381986121","https://openalex.org/W2370918718","https://openalex.org/W2256933480","https://openalex.org/W4361185727"],"abstract_inverted_index":{"Existing":[0],"Cross-Domain":[1],"Few-Shot":[2],"Learning":[3,130,199],"(CDFSL)":[4],"methods":[5],"require":[6],"access":[7],"to":[8,12,22,31,41,87,133,154,179,191,216,241,264,275,333],"source":[9,48,79,83,91,115,168,308],"domain":[10,111,118,319],"data":[11,26,33,174],"train":[13],"a":[14,43,56,76,193,220,225,235,243],"model":[15,77,169],"in":[16,61,201,296,316],"the":[17,29,67,88,107,140,145,167,172,181,185,205,247,253,266,293,297,302,307,317,322,329],"pre-training":[18],"phase.":[19],"However,":[20,85,176],"due":[21,86],"increasing":[23],"concerns":[24],"about":[25],"privacy":[27],"and":[28,35,106,116,162,212,230,249,284,288,325],"desire":[30],"reduce":[32],"transmission":[34],"training":[36,75],"costs,":[37],"it":[38],"is":[39,64,152],"necessary":[40],"develop":[42],"CDFSL":[44,58,63,100],"solution":[45],"without":[46,305],"accessing":[47,82,306],"data.":[49,84],"For":[50],"this":[51,53],"reason,":[52],"paper":[54,121],"explores":[55],"Source-Free":[57],"(SF-CDFSL)":[59],"problem,":[60],"which":[62,202],"addressed":[65],"through":[66],"use":[68],"of":[69,74,90,109,184,219,224,246,261,268,292,331],"existing":[70,313],"pretrained":[71],"models":[72],"instead":[73],"with":[78,101,127],"data,":[80,92],"avoiding":[81],"lack":[89],"we":[93,138,203,233,271],"face":[94],"two":[95],"key":[96],"challenges:":[97],"effectively":[98],"tackling":[99],"limited":[102],"labeled":[103],"target":[104,117,156,173,186],"samples,":[105],"impossibility":[108],"addressing":[110],"disparities":[112],"by":[113,277],"aligning":[114],"distributions.":[119],"This":[120,188],"proposes":[122],"an":[123],"Enhanced":[124],"Information":[125],"Maximization":[126],"Distance-Aware":[128,197],"Contrastive":[129,198],"(IM-DCL)":[131],"method":[132],"address":[134,272],"these":[135],"challenges.":[136],"Firstly,":[137],"introduce":[139,192],"transductive":[141],"mechanism":[142],"for":[143,252],"learning":[144],"query":[146],"set.":[147,256],"Secondly,":[148],"information":[149],"maximization":[150],"(IM)":[151],"explored":[153],"map":[155],"samples":[157],"into":[158],"both":[159,210],"individual":[160],"certainty":[161],"global":[163],"diversity":[164],"predictions,":[165],"helping":[166],"better":[170],"fit":[171],"distribution.":[175],"IM":[177,276],"fails":[178],"learn":[180],"decision":[182],"boundary":[183],"task.":[187,320],"motivates":[189],"us":[190],"novel":[194],"approach":[195],"called":[196],"(DCL),":[200],"consider":[204],"entire":[206,254],"feature":[207,255],"set":[208],"as":[209],"positive":[211,229,248,287],"negative":[213,231,250,262,289],"sets,":[214,232],"akin":[215],"Schr\u00f6dinger's":[217],"concept":[218],"dual":[221],"state.":[222],"Instead":[223],"rigid":[226],"separation":[227],"between":[228,281],"employ":[234],"weighted":[236],"distance":[237],"calculation":[238],"among":[239],"features":[240,283],"establish":[242],"soft":[244],"classification":[245],"sets":[251],"We":[257],"explore":[258],"three":[259],"types":[260],"weights":[263],"enhance":[265],"performance":[267,326],"CDFSL.":[269],"Furthermore,":[270],"issues":[273],"related":[274],"incorporating":[278],"contrastive":[279],"constraints":[280],"object":[282],"their":[285],"corresponding":[286],"sets.":[290],"Evaluations":[291],"4":[294],"datasets":[295],"BSCD-FSL":[298],"benchmark":[299],"indicate":[300],"that":[301],"proposed":[303],"IM-DCL,":[304],"domain,":[309],"demonstrates":[310],"superiority":[311],"over":[312],"methods,":[314],"especially":[315],"distant":[318],"Additionally,":[321],"ablation":[323],"study":[324],"analysis":[327],"confirmed":[328],"ability":[330],"IM-DCL":[332],"handle":[334],"SF-CDFSL.":[335],"The":[336],"code":[337],"will":[338],"be":[339],"made":[340],"public":[341],"at":[342],"https://github.com/xuhuali-mxj/IM-DCL.":[343]},"counts_by_year":[{"year":2026,"cited_by_count":8},{"year":2025,"cited_by_count":16},{"year":2024,"cited_by_count":3}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
