{"id":"https://openalex.org/W1938167356","doi":"https://doi.org/10.1109/cvpr.2015.7298756","title":"ConceptLearner: Discovering visual concepts from weakly labeled image collections","display_name":"ConceptLearner: Discovering visual concepts from weakly labeled image collections","publication_year":2015,"publication_date":"2015-06-01","ids":{"openalex":"https://openalex.org/W1938167356","doi":"https://doi.org/10.1109/cvpr.2015.7298756","mag":"1938167356"},"language":"en","primary_location":{"id":"doi:10.1109/cvpr.2015.7298756","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cvpr.2015.7298756","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)","raw_type":"proceedings-article"},"type":"preprint","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5033444412","display_name":"Bolei Zhou","orcid":"https://orcid.org/0000-0003-4030-0684"},"institutions":[{"id":"https://openalex.org/I4210109586","display_name":"Moscow Institute of Thermal Technology","ror":"https://ror.org/021es5e59","country_code":"RU","type":"facility","lineage":["https://openalex.org/I4210109586"]},{"id":"https://openalex.org/I4210110987","display_name":"IIT@MIT","ror":"https://ror.org/01wp8zh54","country_code":"US","type":"facility","lineage":["https://openalex.org/I30771326","https://openalex.org/I4210110987"]}],"countries":["RU","US"],"is_corresponding":true,"raw_author_name":"Bolei Zhou","raw_affiliation_strings":["MIT","MIT, Cambridge, 02139, United States"],"affiliations":[{"raw_affiliation_string":"MIT","institution_ids":["https://openalex.org/I4210109586"]},{"raw_affiliation_string":"MIT, Cambridge, 02139, United States","institution_ids":["https://openalex.org/I4210110987"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5082732430","display_name":"Vignesh Jagadeesh","orcid":null},"institutions":[{"id":"https://openalex.org/I1321826891","display_name":"eBay (Ireland)","ror":"https://ror.org/02b00s810","country_code":"IE","type":"company","lineage":["https://openalex.org/I1321826891","https://openalex.org/I4210150719"]}],"countries":["IE"],"is_corresponding":false,"raw_author_name":"Vignesh Jagadeesh","raw_affiliation_strings":["eBay Research Labs","eBay Research Labs, United States"],"affiliations":[{"raw_affiliation_string":"eBay Research Labs","institution_ids":["https://openalex.org/I1321826891"]},{"raw_affiliation_string":"eBay Research Labs, United States","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5018704921","display_name":"Robinson Piramuthu","orcid":"https://orcid.org/0000-0002-1767-8382"},"institutions":[{"id":"https://openalex.org/I1321826891","display_name":"eBay (Ireland)","ror":"https://ror.org/02b00s810","country_code":"IE","type":"company","lineage":["https://openalex.org/I1321826891","https://openalex.org/I4210150719"]}],"countries":["IE"],"is_corresponding":false,"raw_author_name":"Robinson Piramuthu","raw_affiliation_strings":["eBay Research Labs","eBay Research Labs, United States"],"affiliations":[{"raw_affiliation_string":"eBay Research Labs","institution_ids":["https://openalex.org/I1321826891"]},{"raw_affiliation_string":"eBay Research Labs, United States","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":3,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5033444412"],"corresponding_institution_ids":["https://openalex.org/I4210109586","https://openalex.org/I4210110987"],"apc_list":null,"apc_paid":null,"fwci":5.9898,"has_fulltext":false,"cited_by_count":40,"citation_normalized_percentile":{"value":0.97463346,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":100},"biblio":{"volume":null,"issue":null,"first_page":"1492","last_page":"1500"},"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":1.0,"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":1.0,"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/T11714","display_name":"Multimodal Machine Learning Applications","score":0.9991000294685364,"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":0.9986000061035156,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/pascal","display_name":"Pascal (unit)","score":0.8071097135543823},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7854111194610596},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6408854126930237},{"id":"https://openalex.org/keywords/annotation","display_name":"Annotation","score":0.6158351302146912},{"id":"https://openalex.org/keywords/scalability","display_name":"Scalability","score":0.5898432731628418},{"id":"https://openalex.org/keywords/object-detection","display_name":"Object detection","score":0.5461041927337646},{"id":"https://openalex.org/keywords/labeled-data","display_name":"Labeled data","score":0.4986255168914795},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.48354673385620117},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.470965176820755},{"id":"https://openalex.org/keywords/domain","display_name":"Domain (mathematical analysis)","score":0.45871713757514954},{"id":"https://openalex.org/keywords/cognitive-neuroscience-of-visual-object-recognition","display_name":"Cognitive neuroscience of visual object recognition","score":0.4535483121871948},{"id":"https://openalex.org/keywords/detector","display_name":"Detector","score":0.44822293519973755},{"id":"https://openalex.org/keywords/visualization","display_name":"Visualization","score":0.43961694836616516},{"id":"https://openalex.org/keywords/automatic-image-annotation","display_name":"Automatic image annotation","score":0.43303316831588745},{"id":"https://openalex.org/keywords/contextual-image-classification","display_name":"Contextual image classification","score":0.41682958602905273},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.38458865880966187},{"id":"https://openalex.org/keywords/object","display_name":"Object (grammar)","score":0.37807244062423706},{"id":"https://openalex.org/keywords/image-retrieval","display_name":"Image retrieval","score":0.35282719135284424},{"id":"https://openalex.org/keywords/database","display_name":"Database","score":0.069725900888443}],"concepts":[{"id":"https://openalex.org/C75608658","wikidata":"https://www.wikidata.org/wiki/Q44395","display_name":"Pascal (unit)","level":2,"score":0.8071097135543823},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7854111194610596},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6408854126930237},{"id":"https://openalex.org/C2776321320","wikidata":"https://www.wikidata.org/wiki/Q857525","display_name":"Annotation","level":2,"score":0.6158351302146912},{"id":"https://openalex.org/C48044578","wikidata":"https://www.wikidata.org/wiki/Q727490","display_name":"Scalability","level":2,"score":0.5898432731628418},{"id":"https://openalex.org/C2776151529","wikidata":"https://www.wikidata.org/wiki/Q3045304","display_name":"Object detection","level":3,"score":0.5461041927337646},{"id":"https://openalex.org/C2776145971","wikidata":"https://www.wikidata.org/wiki/Q30673951","display_name":"Labeled data","level":2,"score":0.4986255168914795},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.48354673385620117},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.470965176820755},{"id":"https://openalex.org/C36503486","wikidata":"https://www.wikidata.org/wiki/Q11235244","display_name":"Domain (mathematical analysis)","level":2,"score":0.45871713757514954},{"id":"https://openalex.org/C64876066","wikidata":"https://www.wikidata.org/wiki/Q5141226","display_name":"Cognitive neuroscience of visual object recognition","level":3,"score":0.4535483121871948},{"id":"https://openalex.org/C94915269","wikidata":"https://www.wikidata.org/wiki/Q1834857","display_name":"Detector","level":2,"score":0.44822293519973755},{"id":"https://openalex.org/C36464697","wikidata":"https://www.wikidata.org/wiki/Q451553","display_name":"Visualization","level":2,"score":0.43961694836616516},{"id":"https://openalex.org/C199579030","wikidata":"https://www.wikidata.org/wiki/Q2851778","display_name":"Automatic image annotation","level":4,"score":0.43303316831588745},{"id":"https://openalex.org/C75294576","wikidata":"https://www.wikidata.org/wiki/Q5165192","display_name":"Contextual image classification","level":3,"score":0.41682958602905273},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.38458865880966187},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.37807244062423706},{"id":"https://openalex.org/C1667742","wikidata":"https://www.wikidata.org/wiki/Q10927554","display_name":"Image retrieval","level":3,"score":0.35282719135284424},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.069725900888443},{"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/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1109/cvpr.2015.7298756","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cvpr.2015.7298756","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)","raw_type":"proceedings-article"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.761.6799","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.761.6799","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://arxiv.org/pdf/1411.5328.pdf","raw_type":"text"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.851.9303","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.851.9303","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://www.cv-foundation.org/openaccess/content_cvpr_2015/papers/Zhou_ConceptLearner_Discovering_Visual_2015_CVPR_paper.pdf","raw_type":"text"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":55,"referenced_works":["https://openalex.org/W92662927","https://openalex.org/W149023494","https://openalex.org/W1508977358","https://openalex.org/W1528802670","https://openalex.org/W1532325895","https://openalex.org/W1590510366","https://openalex.org/W1964763677","https://openalex.org/W1973054923","https://openalex.org/W1977766639","https://openalex.org/W2007972815","https://openalex.org/W2020477327","https://openalex.org/W2028891871","https://openalex.org/W2031342017","https://openalex.org/W2031489346","https://openalex.org/W2037227137","https://openalex.org/W2049705550","https://openalex.org/W2062118960","https://openalex.org/W2066134726","https://openalex.org/W2081613070","https://openalex.org/W2087544865","https://openalex.org/W2088049833","https://openalex.org/W2102605133","https://openalex.org/W2107698128","https://openalex.org/W2108598243","https://openalex.org/W2109586012","https://openalex.org/W2112912048","https://openalex.org/W2118585731","https://openalex.org/W2119775030","https://openalex.org/W2133434696","https://openalex.org/W2134670479","https://openalex.org/W2144332305","https://openalex.org/W2144723948","https://openalex.org/W2161969291","https://openalex.org/W2163605009","https://openalex.org/W2168356304","https://openalex.org/W2185175083","https://openalex.org/W2189472871","https://openalex.org/W2595693110","https://openalex.org/W2952072685","https://openalex.org/W2953276893","https://openalex.org/W4213009331","https://openalex.org/W6603785906","https://openalex.org/W6631694491","https://openalex.org/W6635258101","https://openalex.org/W6659984577","https://openalex.org/W6675392924","https://openalex.org/W6676297131","https://openalex.org/W6676497082","https://openalex.org/W6676647902","https://openalex.org/W6677656871","https://openalex.org/W6677994088","https://openalex.org/W6679792166","https://openalex.org/W6679805309","https://openalex.org/W6681278206","https://openalex.org/W6684191040"],"related_works":["https://openalex.org/W2095705906","https://openalex.org/W2975200075","https://openalex.org/W2295169469","https://openalex.org/W2200925278","https://openalex.org/W2732308154","https://openalex.org/W2613077666","https://openalex.org/W1988485990","https://openalex.org/W4210419990","https://openalex.org/W3177406559","https://openalex.org/W2182524050"],"abstract_inverted_index":{"Discovering":[0],"visual":[1,45,54],"knowledge":[2],"from":[3,47],"weakly":[4,48,122],"labeled":[5,23,49],"data":[6,24],"is":[7,18,39],"crucial":[8],"to":[9,20,43,77,83,118],"scale":[10],"up":[11],"computer":[12],"vision":[13],"recognition":[14,101],"systems,":[15],"since":[16],"it":[17],"expensive":[19],"obtain":[21],"fully":[22,119],"for":[25,65,99,106],"a":[26,40],"large":[27],"number":[28],"of":[29,53],"concept":[30,55],"categories.":[31],"In":[32],"this":[33],"paper,":[34],"we":[35,93],"propose":[36],"ConceptLearner,":[37],"which":[38],"scalable":[41],"approach":[42],"discover":[44],"concepts":[46,79,85,98],"image":[50,87],"collections.":[51],"Thousands":[52],"detectors":[56,73],"are":[57],"learned":[58,72,97],"automatically,":[59],"without":[60],"human":[61],"in":[62],"the":[63,96],"loop":[64],"additional":[66],"annotation.":[67],"We":[68],"show":[69],"that":[70],"these":[71],"could":[74],"be":[75],"applied":[76],"recognize":[78],"at":[80,86],"image-level":[81],"and":[82,105,121],"detect":[84],"region-level":[88],"accurately.":[89],"Under":[90],"domain-specific":[91],"supervision,":[92],"further":[94],"evaluate":[95],"scene":[100],"on":[102,109],"SUN":[103],"database":[104],"object":[107],"detection":[108],"Pascal":[110],"VOC":[111],"2007.":[112],"ConceptLearner":[113],"shows":[114],"promising":[115],"performance":[116],"compared":[117],"supervised":[120,123],"methods.":[124]},"counts_by_year":[{"year":2023,"cited_by_count":1},{"year":2021,"cited_by_count":2},{"year":2020,"cited_by_count":3},{"year":2019,"cited_by_count":2},{"year":2018,"cited_by_count":4},{"year":2017,"cited_by_count":10},{"year":2016,"cited_by_count":14},{"year":2015,"cited_by_count":4}],"updated_date":"2026-04-05T17:49:38.594831","created_date":"2025-10-10T00:00:00"}