{"id":"https://openalex.org/W4385976118","doi":"https://doi.org/10.1109/tpami.2023.3306352","title":"MMT: Cross Domain Few-Shot Learning via Meta-Memory Transfer","display_name":"MMT: Cross Domain Few-Shot Learning via Meta-Memory Transfer","publication_year":2023,"publication_date":"2023-08-18","ids":{"openalex":"https://openalex.org/W4385976118","doi":"https://doi.org/10.1109/tpami.2023.3306352","pmid":"https://pubmed.ncbi.nlm.nih.gov/37594873"},"language":"en","primary_location":{"id":"doi:10.1109/tpami.2023.3306352","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tpami.2023.3306352","pdf_url":null,"source":{"id":"https://openalex.org/S199944782","display_name":"IEEE Transactions on Pattern Analysis and Machine Intelligence","issn_l":"0162-8828","issn":["0162-8828","1939-3539","2160-9292"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320439","host_organization_name":"IEEE Computer Society","host_organization_lineage":["https://openalex.org/P4310320439","https://openalex.org/P4310319808"],"host_organization_lineage_names":["IEEE Computer Society","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 Pattern Analysis and Machine Intelligence","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/A5002855965","display_name":"Wenjian Wang","orcid":"https://orcid.org/0000-0002-3941-8952"},"institutions":[{"id":"https://openalex.org/I37796252","display_name":"Beijing University of Technology","ror":"https://ror.org/037b1pp87","country_code":"CN","type":"education","lineage":["https://openalex.org/I37796252"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wenjian Wang","raw_affiliation_strings":["Faculty of Information Technology, Beijing University of Technology, Beijing, China","National Engineering Laboratory for Key Technologies of Information Security Level Protection, Beijing, China","Beijing Key Laboratory of Trusted Computing, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0002-3941-8952","affiliations":[{"raw_affiliation_string":"Faculty of Information Technology, Beijing University of Technology, Beijing, China","institution_ids":["https://openalex.org/I37796252"]},{"raw_affiliation_string":"National Engineering Laboratory for Key Technologies of Information Security Level Protection, Beijing, China","institution_ids":[]},{"raw_affiliation_string":"Beijing Key Laboratory of Trusted Computing, Beijing, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5109012701","display_name":"Lijuan Duan","orcid":null},"institutions":[{"id":"https://openalex.org/I37796252","display_name":"Beijing University of Technology","ror":"https://ror.org/037b1pp87","country_code":"CN","type":"education","lineage":["https://openalex.org/I37796252"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Lijuan Duan","raw_affiliation_strings":["Faculty of Information Technology, Beijing University of Technology, Beijing, China","National Engineering Laboratory for Key Technologies of Information Security Level Protection, Beijing, China","Beijing Key Laboratory of Trusted Computing, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0001-9836-482X","affiliations":[{"raw_affiliation_string":"Faculty of Information Technology, Beijing University of Technology, Beijing, China","institution_ids":["https://openalex.org/I37796252"]},{"raw_affiliation_string":"National Engineering Laboratory for Key Technologies of Information Security Level Protection, Beijing, China","institution_ids":[]},{"raw_affiliation_string":"Beijing Key Laboratory of Trusted Computing, Beijing, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100393131","display_name":"Yuxi Wang","orcid":"https://orcid.org/0000-0003-1579-2357"},"institutions":[{"id":"https://openalex.org/I4210116924","display_name":"Chinese University of Hong Kong, Shenzhen","ror":"https://ror.org/02d5ks197","country_code":"CN","type":"education","lineage":["https://openalex.org/I177725633","https://openalex.org/I180726961","https://openalex.org/I4210116924"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yuxi Wang","raw_affiliation_strings":["Centre for Artificial Intelligence and Robotics, Hong Kong Institute of Science and Innovation, Chinese Academy of Sciences, Hong Kong, China"],"raw_orcid":"https://orcid.org/0000-0003-1579-2357","affiliations":[{"raw_affiliation_string":"Centre for Artificial Intelligence and Robotics, Hong Kong Institute of Science and Innovation, Chinese Academy of Sciences, Hong Kong, China","institution_ids":["https://openalex.org/I4210116924"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5050140194","display_name":"Junsong Fan","orcid":"https://orcid.org/0000-0001-6989-2711"},"institutions":[{"id":"https://openalex.org/I4210116924","display_name":"Chinese University of Hong Kong, Shenzhen","ror":"https://ror.org/02d5ks197","country_code":"CN","type":"education","lineage":["https://openalex.org/I177725633","https://openalex.org/I180726961","https://openalex.org/I4210116924"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Junsong Fan","raw_affiliation_strings":["Centre for Artificial Intelligence and Robotics, Hong Kong Institute of Science and Innovation, Chinese Academy of Sciences, Hong Kong, China"],"raw_orcid":"https://orcid.org/0000-0001-6989-2711","affiliations":[{"raw_affiliation_string":"Centre for Artificial Intelligence and Robotics, Hong Kong Institute of Science and Innovation, Chinese Academy of Sciences, Hong Kong, China","institution_ids":["https://openalex.org/I4210116924"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5028016065","display_name":"Zhaoxiang Zhang","orcid":"https://orcid.org/0000-0003-2648-3875"},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"government","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I4210112150","display_name":"Institute of Automation","ror":"https://ror.org/022c3hy66","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210112150"]},{"id":"https://openalex.org/I4210116924","display_name":"Chinese University of Hong Kong, Shenzhen","ror":"https://ror.org/02d5ks197","country_code":"CN","type":"education","lineage":["https://openalex.org/I177725633","https://openalex.org/I180726961","https://openalex.org/I4210116924"]},{"id":"https://openalex.org/I4210165038","display_name":"University of Chinese Academy of Sciences","ror":"https://ror.org/05qbk4x57","country_code":"CN","type":"education","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210165038"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhaoxiang Zhang","raw_affiliation_strings":["Centre for Artificial Intelligence and Robotics, Hong Kong Institute of Science and Innovation, Chinese Academy of Sciences, Hong Kong, China","National Laboratory of Pattern Recognition (NLPR), Institute of Automation, Chinese Academy of Sciences (CASIA), Beijing, China","University of Chinese Academy of Sciences (UCAS), Beijing, China"],"raw_orcid":"https://orcid.org/0000-0003-2648-3875","affiliations":[{"raw_affiliation_string":"Centre for Artificial Intelligence and Robotics, Hong Kong Institute of Science and Innovation, Chinese Academy of Sciences, Hong Kong, China","institution_ids":["https://openalex.org/I4210116924"]},{"raw_affiliation_string":"National Laboratory of Pattern Recognition (NLPR), Institute of Automation, Chinese Academy of Sciences (CASIA), Beijing, China","institution_ids":["https://openalex.org/I4210112150","https://openalex.org/I19820366"]},{"raw_affiliation_string":"University of Chinese Academy of Sciences (UCAS), Beijing, China","institution_ids":["https://openalex.org/I4210165038"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":3.6484,"has_fulltext":false,"cited_by_count":23,"citation_normalized_percentile":{"value":0.94048902,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":98,"max":99},"biblio":{"volume":"45","issue":"12","first_page":"15018","last_page":"15035"},"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":0.9941999912261963,"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/T10515","display_name":"Cancer-related molecular mechanisms research","score":0.9693999886512756,"subfield":{"id":"https://openalex.org/subfields/1306","display_name":"Cancer Research"},"field":{"id":"https://openalex.org/fields/13","display_name":"Biochemistry, Genetics and Molecular Biology"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6656877994537354},{"id":"https://openalex.org/keywords/domain","display_name":"Domain (mathematical analysis)","score":0.6018657684326172},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5868701934814453},{"id":"https://openalex.org/keywords/pascal","display_name":"Pascal (unit)","score":0.5203834772109985},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.5047744512557983},{"id":"https://openalex.org/keywords/shot","display_name":"Shot (pellet)","score":0.4797278940677643},{"id":"https://openalex.org/keywords/notation","display_name":"Notation","score":0.4782753884792328},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.4261709451675415},{"id":"https://openalex.org/keywords/transfer-of-learning","display_name":"Transfer of learning","score":0.4256304204463959},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3957858085632324},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.17430251836776733},{"id":"https://openalex.org/keywords/arithmetic","display_name":"Arithmetic","score":0.1507773995399475},{"id":"https://openalex.org/keywords/programming-language","display_name":"Programming language","score":0.1282208263874054}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6656877994537354},{"id":"https://openalex.org/C36503486","wikidata":"https://www.wikidata.org/wiki/Q11235244","display_name":"Domain (mathematical analysis)","level":2,"score":0.6018657684326172},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5868701934814453},{"id":"https://openalex.org/C75608658","wikidata":"https://www.wikidata.org/wiki/Q44395","display_name":"Pascal (unit)","level":2,"score":0.5203834772109985},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.5047744512557983},{"id":"https://openalex.org/C2778344882","wikidata":"https://www.wikidata.org/wiki/Q278938","display_name":"Shot (pellet)","level":2,"score":0.4797278940677643},{"id":"https://openalex.org/C45357846","wikidata":"https://www.wikidata.org/wiki/Q2001982","display_name":"Notation","level":2,"score":0.4782753884792328},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.4261709451675415},{"id":"https://openalex.org/C150899416","wikidata":"https://www.wikidata.org/wiki/Q1820378","display_name":"Transfer of learning","level":2,"score":0.4256304204463959},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3957858085632324},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.17430251836776733},{"id":"https://openalex.org/C94375191","wikidata":"https://www.wikidata.org/wiki/Q11205","display_name":"Arithmetic","level":1,"score":0.1507773995399475},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.1282208263874054},{"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/C178790620","wikidata":"https://www.wikidata.org/wiki/Q11351","display_name":"Organic chemistry","level":1,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/tpami.2023.3306352","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tpami.2023.3306352","pdf_url":null,"source":{"id":"https://openalex.org/S199944782","display_name":"IEEE Transactions on Pattern Analysis and Machine Intelligence","issn_l":"0162-8828","issn":["0162-8828","1939-3539","2160-9292"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320439","host_organization_name":"IEEE Computer Society","host_organization_lineage":["https://openalex.org/P4310320439","https://openalex.org/P4310319808"],"host_organization_lineage_names":["IEEE Computer Society","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 Pattern Analysis and Machine Intelligence","raw_type":"journal-article"},{"id":"pmid:37594873","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/37594873","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 pattern analysis and machine intelligence","raw_type":null}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.5699999928474426,"id":"https://metadata.un.org/sdg/4","display_name":"Quality Education"}],"awards":[{"id":"https://openalex.org/G3624945331","display_name":null,"funder_award_id":"62006231","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G4160143202","display_name":"\u7c7b\u8111\u795e\u7ecf\u7f51\u7edc\u5efa\u6a21\u3001\u5b66\u4e60\u4e0e\u5e94\u7528","funder_award_id":"61836014","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5353429300","display_name":null,"funder_award_id":"U21B2042","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G7317538059","display_name":null,"funder_award_id":"62072457","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G7768424562","display_name":null,"funder_award_id":"62176009","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":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":128,"referenced_works":["https://openalex.org/W1846799578","https://openalex.org/W1861492603","https://openalex.org/W2002427601","https://openalex.org/W2031489346","https://openalex.org/W2047643928","https://openalex.org/W2112796928","https://openalex.org/W2117539524","https://openalex.org/W2144794286","https://openalex.org/W2187089797","https://openalex.org/W2194321275","https://openalex.org/W2194775991","https://openalex.org/W2412782625","https://openalex.org/W2533598788","https://openalex.org/W2562221994","https://openalex.org/W2601450892","https://openalex.org/W2765407302","https://openalex.org/W2798658180","https://openalex.org/W2951008357","https://openalex.org/W2963078159","https://openalex.org/W2963131975","https://openalex.org/W2963341924","https://openalex.org/W2963911405","https://openalex.org/W2964077278","https://openalex.org/W2964105864","https://openalex.org/W2964358045","https://openalex.org/W2965729941","https://openalex.org/W2979747407","https://openalex.org/W2990230185","https://openalex.org/W2993235622","https://openalex.org/W2995253937","https://openalex.org/W2998712190","https://openalex.org/W3001411605","https://openalex.org/W3002740131","https://openalex.org/W3010293082","https://openalex.org/W3012473455","https://openalex.org/W3025345330","https://openalex.org/W3033318292","https://openalex.org/W3034302825","https://openalex.org/W3034587791","https://openalex.org/W3036139671","https://openalex.org/W3042840444","https://openalex.org/W3047258141","https://openalex.org/W3080996465","https://openalex.org/W3095799614","https://openalex.org/W3108145393","https://openalex.org/W3108189450","https://openalex.org/W3109042658","https://openalex.org/W3109301572","https://openalex.org/W3110608229","https://openalex.org/W3118608800","https://openalex.org/W3130164045","https://openalex.org/W3132413796","https://openalex.org/W3136670918","https://openalex.org/W3137602479","https://openalex.org/W3138516171","https://openalex.org/W3142729297","https://openalex.org/W3142917731","https://openalex.org/W3149860822","https://openalex.org/W3149878926","https://openalex.org/W3152008128","https://openalex.org/W3159907343","https://openalex.org/W3163842339","https://openalex.org/W3166601111","https://openalex.org/W3167453437","https://openalex.org/W3167559252","https://openalex.org/W3167673010","https://openalex.org/W3169024950","https://openalex.org/W3169545167","https://openalex.org/W3173419192","https://openalex.org/W3174337559","https://openalex.org/W3175712787","https://openalex.org/W3176052592","https://openalex.org/W3176065502","https://openalex.org/W3176720610","https://openalex.org/W3179233662","https://openalex.org/W3189329097","https://openalex.org/W3189656202","https://openalex.org/W3189951784","https://openalex.org/W3190905519","https://openalex.org/W3194746126","https://openalex.org/W3194965327","https://openalex.org/W3195135988","https://openalex.org/W3201774370","https://openalex.org/W3203637842","https://openalex.org/W3204077273","https://openalex.org/W3204469733","https://openalex.org/W3204815733","https://openalex.org/W3205316718","https://openalex.org/W3214418393","https://openalex.org/W4214951593","https://openalex.org/W4283809287","https://openalex.org/W4283821931","https://openalex.org/W4287119986","https://openalex.org/W4288322074","https://openalex.org/W4300860215","https://openalex.org/W4303633609","https://openalex.org/W4312235843","https://openalex.org/W4312657985","https://openalex.org/W4312804183","https://openalex.org/W4313117614","https://openalex.org/W6638318767","https://openalex.org/W6638677478","https://openalex.org/W6639102338","https://openalex.org/W6684821475","https://openalex.org/W6717697761","https://openalex.org/W6731175945","https://openalex.org/W6732742072","https://openalex.org/W6735236233","https://openalex.org/W6745136726","https://openalex.org/W6751293525","https://openalex.org/W6757864324","https://openalex.org/W6760378562","https://openalex.org/W6760400556","https://openalex.org/W6764592398","https://openalex.org/W6772329248","https://openalex.org/W6773297391","https://openalex.org/W6776331362","https://openalex.org/W6777285478","https://openalex.org/W6779277177","https://openalex.org/W6780012728","https://openalex.org/W6780975210","https://openalex.org/W6787972765","https://openalex.org/W6789380839","https://openalex.org/W6792155083","https://openalex.org/W6793652844","https://openalex.org/W6795508594","https://openalex.org/W6795934563","https://openalex.org/W6796401684"],"related_works":["https://openalex.org/W4214877189","https://openalex.org/W2074502265","https://openalex.org/W2773965352","https://openalex.org/W2381179799","https://openalex.org/W2334685461","https://openalex.org/W2366718574","https://openalex.org/W1663079876","https://openalex.org/W1575857566","https://openalex.org/W133523350","https://openalex.org/W2979740303"],"abstract_inverted_index":{"Few-shot":[0],"learning":[1,60,123],"aims":[2],"to":[3,77],"recognize":[4],"novel":[5],"categories":[6,22],"solely":[7],"relying":[8],"on":[9,20,145,151,171],"a":[10,74,104],"few":[11],"labeled":[12],"samples,":[13],"with":[14],"existing":[15],"few-shot":[16,46,59,133,147,168],"methods":[17],"primarily":[18],"focusing":[19],"the":[21,25,36,43,63,79,121,129,152],"sampled":[23],"from":[24,98],"same":[26],"distribution.":[27,107],"Nevertheless,":[28],"this":[29,50],"assumption":[30],"cannot":[31],"always":[32],"be":[33],"ensured,":[34],"and":[35,56,65,84,89,102,162,165],"actual":[37],"domain":[38,80,100],"shift":[39],"problem":[40,131],"significantly":[41],"reduces":[42],"performance":[44,144],"of":[45,115,117],"learning.":[47,134],"To":[48],"remedy":[49],"problem,":[51],"we":[52,72],"investigate":[53],"an":[54],"interesting":[55],"challenging":[57],"cross-domain":[58,130,146],"task,":[61],"where":[62],"training":[64],"testing":[66],"tasks":[67,150,170],"employ":[68],"different":[69,118],"domains.":[70],"Specifically,":[71],"propose":[73],"Meta-Memory":[75],"scheme":[76],"bridge":[78],"gap":[81],"between":[82],"source":[83,99],"target":[85],"domains,":[86],"leveraging":[87],"style-memory":[88],"content-memory":[90],"components.":[91],"The":[92,108],"former":[93],"stores":[94,110],"intra-domain":[95],"style":[96],"information":[97,112],"instances":[101],"provides":[103],"richer":[105],"feature":[106],"latter":[109],"semantic":[111,148],"through":[113],"exploration":[114],"knowledge":[116],"categories.":[119],"Under":[120],"contrastive":[122],"strategy,":[124],"our":[125,139],"model":[126],"effectively":[127],"alleviates":[128],"in":[132],"Extensive":[135],"experiments":[136],"demonstrate":[137],"that":[138],"proposed":[140],"method":[141],"achieves":[142],"state-of-the-art":[143],"segmentation":[149],"COCO-20":[153],"<inline-formula><tex-math":[154,158],"notation=\"LaTeX\">$^{i}$</tex-math></inline-formula>":[155,159],",":[156,160],"PASCAL-5":[157],"FSS-1000,":[161],"SUIM":[163],"datasets":[164],"positively":[166],"affects":[167],"classification":[169],"Meta-Dataset.":[172]},"counts_by_year":[{"year":2026,"cited_by_count":5},{"year":2025,"cited_by_count":13},{"year":2024,"cited_by_count":5}],"updated_date":"2026-03-27T05:58:40.876381","created_date":"2025-10-10T00:00:00"}
