{"id":"https://openalex.org/W2916527725","doi":"https://doi.org/10.1109/tip.2019.2899944","title":"Fundamental Visual Concept Learning From Correlated Images and Text","display_name":"Fundamental Visual Concept Learning From Correlated Images and Text","publication_year":2019,"publication_date":"2019-02-19","ids":{"openalex":"https://openalex.org/W2916527725","doi":"https://doi.org/10.1109/tip.2019.2899944","mag":"2916527725","pmid":"https://pubmed.ncbi.nlm.nih.gov/30794173"},"language":"en","primary_location":{"id":"doi:10.1109/tip.2019.2899944","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tip.2019.2899944","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/A5074080669","display_name":"Youtian Du","orcid":"https://orcid.org/0000-0002-1714-3433"},"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":"Youtian Du","raw_affiliation_strings":["Ministry of Education Key Lab for Intelligent Networks and Network Security, Xi\u2019an Jiaotong University, Xi\u2019an, China"],"raw_orcid":"https://orcid.org/0000-0002-1714-3433","affiliations":[{"raw_affiliation_string":"Ministry of Education Key Lab for Intelligent Networks and Network Security, Xi\u2019an Jiaotong University, Xi\u2019an, China","institution_ids":["https://openalex.org/I87445476"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100459499","display_name":"Hang Wang","orcid":"https://orcid.org/0000-0001-9876-8285"},"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":"Hang Wang","raw_affiliation_strings":["Ministry of Education Key Lab for Intelligent Networks and Network Security, Xi\u2019an Jiaotong University, Xi\u2019an, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Ministry of Education Key Lab for Intelligent Networks and Network Security, Xi\u2019an Jiaotong University, Xi\u2019an, China","institution_ids":["https://openalex.org/I87445476"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5013901520","display_name":"Yunbo Cui","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":false,"raw_author_name":"Yunbo Cui","raw_affiliation_strings":["Ministry of Education Key Lab for Intelligent Networks and Network Security, Xi\u2019an Jiaotong University, Xi\u2019an, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Ministry of Education Key Lab for Intelligent Networks and Network Security, Xi\u2019an Jiaotong University, Xi\u2019an, China","institution_ids":["https://openalex.org/I87445476"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100633926","display_name":"Xin Huang","orcid":"https://orcid.org/0000-0003-4078-9731"},"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":"Xin Huang","raw_affiliation_strings":["Ministry of Education Key Lab for Intelligent Networks and Network Security, Xi\u2019an Jiaotong University, Xi\u2019an, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Ministry of Education Key Lab for Intelligent Networks and Network Security, Xi\u2019an Jiaotong University, Xi\u2019an, China","institution_ids":["https://openalex.org/I87445476"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I87445476"],"apc_list":null,"apc_paid":null,"fwci":0.397,"has_fulltext":false,"cited_by_count":5,"citation_normalized_percentile":{"value":0.63224632,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":95},"biblio":{"volume":"28","issue":"7","first_page":"3598","last_page":"3612"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.9998000264167786,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.9998000264167786,"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/T11307","display_name":"Domain Adaptation and Few-Shot Learning","score":0.9983000159263611,"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/T10824","display_name":"Image Retrieval and Classification Techniques","score":0.9972000122070312,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7388305068016052},{"id":"https://openalex.org/keywords/learnability","display_name":"Learnability","score":0.7019186019897461},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.650902271270752},{"id":"https://openalex.org/keywords/visualization","display_name":"Visualization","score":0.6478201746940613},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.5201807022094727},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.47392138838768005},{"id":"https://openalex.org/keywords/optimal-distinctiveness-theory","display_name":"Optimal distinctiveness theory","score":0.4720752239227295},{"id":"https://openalex.org/keywords/image-retrieval","display_name":"Image retrieval","score":0.42933568358421326},{"id":"https://openalex.org/keywords/visual-media","display_name":"Visual media","score":0.4191795587539673},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4134369194507599},{"id":"https://openalex.org/keywords/visual-word","display_name":"Visual Word","score":0.4104645550251007},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.3928307890892029},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.17582908272743225}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7388305068016052},{"id":"https://openalex.org/C2777723229","wikidata":"https://www.wikidata.org/wiki/Q4367921","display_name":"Learnability","level":2,"score":0.7019186019897461},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.650902271270752},{"id":"https://openalex.org/C36464697","wikidata":"https://www.wikidata.org/wiki/Q451553","display_name":"Visualization","level":2,"score":0.6478201746940613},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.5201807022094727},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.47392138838768005},{"id":"https://openalex.org/C47385372","wikidata":"https://www.wikidata.org/wiki/Q7098943","display_name":"Optimal distinctiveness theory","level":2,"score":0.4720752239227295},{"id":"https://openalex.org/C1667742","wikidata":"https://www.wikidata.org/wiki/Q10927554","display_name":"Image retrieval","level":3,"score":0.42933568358421326},{"id":"https://openalex.org/C2987052865","wikidata":"https://www.wikidata.org/wiki/Q11033","display_name":"Visual media","level":2,"score":0.4191795587539673},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4134369194507599},{"id":"https://openalex.org/C189391414","wikidata":"https://www.wikidata.org/wiki/Q7936579","display_name":"Visual Word","level":4,"score":0.4104645550251007},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.3928307890892029},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.17582908272743225},{"id":"https://openalex.org/C542102704","wikidata":"https://www.wikidata.org/wiki/Q183257","display_name":"Psychotherapist","level":1,"score":0.0},{"id":"https://openalex.org/C49774154","wikidata":"https://www.wikidata.org/wiki/Q131765","display_name":"Multimedia","level":1,"score":0.0},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/tip.2019.2899944","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tip.2019.2899944","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:30794173","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/30794173","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":[{"id":"https://metadata.un.org/sdg/4","display_name":"Quality Education","score":0.6899999976158142}],"awards":[{"id":"https://openalex.org/G6078260822","display_name":null,"funder_award_id":"61772415","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G6584687560","display_name":null,"funder_award_id":"2015JM6299","funder_id":"https://openalex.org/F4320336567","funder_display_name":"Natural Science Basic Research Program of Shaanxi Province"},{"id":"https://openalex.org/G6884300526","display_name":null,"funder_award_id":"xjj2017063","funder_id":"https://openalex.org/F4320335787","funder_display_name":"Fundamental Research Funds for the Central Universities"},{"id":"https://openalex.org/G7896266552","display_name":"\u5728\u7ebf\u793e\u4f1a\u7f51\u7edc\u5927\u6570\u636e\u7684\u5927\u56fe\u7ed3\u6784\u7279\u6027\u4e0e\u591a\u7fa4\u4f53\u8054\u5408\u6f14\u53d8\u7684\u5206\u6790\u4e0e\u5efa\u6a21\u7814\u7a76","funder_award_id":"61572397","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G983152199","display_name":null,"funder_award_id":"61375040","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/F4320335787","display_name":"Fundamental Research Funds for the Central Universities","ror":null},{"id":"https://openalex.org/F4320336567","display_name":"Natural Science Basic Research Program of Shaanxi Province","ror":null}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":68,"referenced_works":["https://openalex.org/W135042460","https://openalex.org/W1479807131","https://openalex.org/W1523738436","https://openalex.org/W1596649971","https://openalex.org/W1686810756","https://openalex.org/W1838330068","https://openalex.org/W1861492603","https://openalex.org/W1925193522","https://openalex.org/W1938425378","https://openalex.org/W1949478088","https://openalex.org/W1988871282","https://openalex.org/W1996219872","https://openalex.org/W1998932002","https://openalex.org/W2006031689","https://openalex.org/W2006556239","https://openalex.org/W2014854862","https://openalex.org/W2015175493","https://openalex.org/W2032355985","https://openalex.org/W2032603663","https://openalex.org/W2039805092","https://openalex.org/W2046665279","https://openalex.org/W2054279472","https://openalex.org/W2080318623","https://openalex.org/W2081613070","https://openalex.org/W2086958058","https://openalex.org/W2093192785","https://openalex.org/W2110618532","https://openalex.org/W2112037975","https://openalex.org/W2115752676","https://openalex.org/W2118597426","https://openalex.org/W2122695597","https://openalex.org/W2133128938","https://openalex.org/W2137918516","https://openalex.org/W2138118304","https://openalex.org/W2154455818","https://openalex.org/W2156718197","https://openalex.org/W2156830856","https://openalex.org/W2165825298","https://openalex.org/W2283195891","https://openalex.org/W2289708887","https://openalex.org/W2299463932","https://openalex.org/W2375157380","https://openalex.org/W2461972671","https://openalex.org/W2605021547","https://openalex.org/W2605649771","https://openalex.org/W2606473278","https://openalex.org/W2737112412","https://openalex.org/W2741306150","https://openalex.org/W2885692647","https://openalex.org/W2888466235","https://openalex.org/W2962835968","https://openalex.org/W2963000732","https://openalex.org/W2963040148","https://openalex.org/W2963389687","https://openalex.org/W2963526065","https://openalex.org/W2963606947","https://openalex.org/W6605540968","https://openalex.org/W6631340511","https://openalex.org/W6637373629","https://openalex.org/W6638807358","https://openalex.org/W6639102338","https://openalex.org/W6670775847","https://openalex.org/W6677533783","https://openalex.org/W6679929812","https://openalex.org/W6682494755","https://openalex.org/W6682755970","https://openalex.org/W6697511038","https://openalex.org/W6736095516"],"related_works":["https://openalex.org/W2063218608","https://openalex.org/W4386105885","https://openalex.org/W2071180033","https://openalex.org/W2184288218","https://openalex.org/W2947282851","https://openalex.org/W2374066281","https://openalex.org/W4387423606","https://openalex.org/W2147874738","https://openalex.org/W155590726","https://openalex.org/W2036058638"],"abstract_inverted_index":{"Heterogeneous":[0],"web":[1],"media":[2],"consists":[3],"of":[4,21,46,57,147,171,178],"many":[5],"visual":[6,24,39,84,96,106,121,197],"concepts,":[7],"such":[8],"as":[9,41,43,88,168],"objects,":[10],"scenes":[11],"and":[12,60,90,101,134,151],"activities,":[13],"that":[14,36,189],"cannot":[15],"be":[16,160],"semantically":[17],"decomposed.":[18],"The":[19,112],"task":[20],"learning":[22,59,196],"fundamental":[23],"concepts":[25,158,198],"(FVCs)":[26],"plays":[27],"an":[28,62,164],"important":[29],"role":[30],"in":[31,44,86,98,108],"automatically":[32],"understanding":[33],"the":[34,55,83,92,102,109,127,145,148,169,172,176,179],"elements":[35],"compose":[37],"all":[38,75,157],"media,":[40],"well":[42],"applications":[45],"retrieval,":[47],"annotation,":[48],"etc.":[49],"In":[50],"this":[51,65],"paper,":[52],"we":[53],"formulate":[54],"problem":[56,66],"FVC":[58],"propose":[61],"approach":[63,73,114,150,181,191],"to":[64,120],"called":[67],"neighboring":[68],"concept":[69,79,128,139],"distributing":[70],"(NCD).":[71],"Our":[72],"models":[74],"data":[76,173],"using":[77,182],"a":[78],"graph,":[80,129],"which":[81],"considers":[82],"patches":[85,97,107,122],"images":[87,100,119],"nodes":[89],"generates":[91],"inter-image":[93],"edges":[94,104],"between":[95,105],"different":[99],"intra-image":[103],"same":[110],"image.":[111],"NCD":[113,180],"distributes":[115],"semantic":[116],"information":[117],"from":[118,199],"based":[123],"on":[124],"measurements":[125],"over":[126],"including":[130],"fitness,":[131],"distinctiveness,":[132],"smoothness":[133],"sparseness,":[135],"without":[136],"any":[137],"pre-trained":[138],"detectors":[140],"or":[141],"classifiers.":[142],"We":[143],"analyze":[144],"learnability":[146],"proposed":[149],"find":[152],"that,":[153],"under":[154],"some":[155],"conditions,":[156],"can":[159],"correctly":[161],"learned":[162],"with":[163],"arbitrarily":[165],"high":[166],"probability":[167],"size":[170],"increases.We":[174],"demonstrate":[175],"performance":[177],"three":[183],"public":[184],"datasets.":[185],"Experimental":[186],"results":[187],"show":[188],"our":[190],"outperforms":[192],"state-of-the-art":[193],"approaches":[194],"when":[195],"correlated":[200],"media.":[201]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2021,"cited_by_count":2},{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
