{"id":"https://openalex.org/W2531141905","doi":"https://doi.org/10.1109/icpr.2016.7900139","title":"Multiple Instance Learning Convolutional Neural Networks for object recognition","display_name":"Multiple Instance Learning Convolutional Neural Networks for object recognition","publication_year":2016,"publication_date":"2016-12-01","ids":{"openalex":"https://openalex.org/W2531141905","doi":"https://doi.org/10.1109/icpr.2016.7900139","mag":"2531141905"},"language":"en","primary_location":{"id":"doi:10.1109/icpr.2016.7900139","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icpr.2016.7900139","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 23rd International Conference on Pattern Recognition (ICPR)","raw_type":"proceedings-article"},"type":"article","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/A5101448249","display_name":"Miao Sun","orcid":"https://orcid.org/0000-0002-9027-3875"},"institutions":[{"id":"https://openalex.org/I76835614","display_name":"University of Missouri","ror":"https://ror.org/02ymw8z06","country_code":"US","type":"education","lineage":["https://openalex.org/I76835614"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Miao Sun","raw_affiliation_strings":["Electrical and Computer Engineering University of Missouri, Columbia, Missouri"],"affiliations":[{"raw_affiliation_string":"Electrical and Computer Engineering University of Missouri, Columbia, Missouri","institution_ids":["https://openalex.org/I76835614"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5112456575","display_name":"Tony Xiao Han","orcid":null},"institutions":[{"id":"https://openalex.org/I76835614","display_name":"University of Missouri","ror":"https://ror.org/02ymw8z06","country_code":"US","type":"education","lineage":["https://openalex.org/I76835614"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Tony X. Han","raw_affiliation_strings":["Electrical and Computer Engineering University of Missouri, Columbia, Missouri"],"affiliations":[{"raw_affiliation_string":"Electrical and Computer Engineering University of Missouri, Columbia, Missouri","institution_ids":["https://openalex.org/I76835614"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5015438916","display_name":"Ming\u2010Chang Liu","orcid":"https://orcid.org/0000-0003-4030-5258"},"institutions":[{"id":"https://openalex.org/I2800278093","display_name":"Sony Corporation (United States)","ror":"https://ror.org/05k91zb11","country_code":"US","type":"company","lineage":["https://openalex.org/I2800278093"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Ming-Chang Liu","raw_affiliation_strings":["Sony Electronics Inc, San Jose, California"],"affiliations":[{"raw_affiliation_string":"Sony Electronics Inc, San Jose, California","institution_ids":["https://openalex.org/I2800278093"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5069417788","display_name":"Ahmad Khodayari-Rostamabad","orcid":null},"institutions":[{"id":"https://openalex.org/I2800278093","display_name":"Sony Corporation (United States)","ror":"https://ror.org/05k91zb11","country_code":"US","type":"company","lineage":["https://openalex.org/I2800278093"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Ahmad Khodayari-Rostamabad","raw_affiliation_strings":["Sony Electronics Inc, San Diego, CA, US"],"affiliations":[{"raw_affiliation_string":"Sony Electronics Inc, San Diego, CA, US","institution_ids":["https://openalex.org/I2800278093"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5101448249"],"corresponding_institution_ids":["https://openalex.org/I76835614"],"apc_list":null,"apc_paid":null,"fwci":3.6741,"has_fulltext":false,"cited_by_count":62,"citation_normalized_percentile":{"value":0.95658449,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":94,"max":99},"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10036","display_name":"Advanced Neural Network Applications","score":0.9998999834060669,"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/T10036","display_name":"Advanced Neural Network Applications","score":0.9998999834060669,"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/T10627","display_name":"Advanced Image and Video Retrieval Techniques","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":0.9990000128746033,"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/computer-science","display_name":"Computer science","score":0.8592929840087891},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.8231914639472961},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7365108728408813},{"id":"https://openalex.org/keywords/cognitive-neuroscience-of-visual-object-recognition","display_name":"Cognitive neuroscience of visual object recognition","score":0.6737767457962036},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.657279372215271},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5437037944793701},{"id":"https://openalex.org/keywords/object","display_name":"Object (grammar)","score":0.5347147583961487},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.5036744475364685},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4578839838504791},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.4159505367279053}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8592929840087891},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.8231914639472961},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7365108728408813},{"id":"https://openalex.org/C64876066","wikidata":"https://www.wikidata.org/wiki/Q5141226","display_name":"Cognitive neuroscience of visual object recognition","level":3,"score":0.6737767457962036},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.657279372215271},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5437037944793701},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.5347147583961487},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.5036744475364685},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4578839838504791},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.4159505367279053},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.0},{"id":"https://openalex.org/C13280743","wikidata":"https://www.wikidata.org/wiki/Q131089","display_name":"Geodesy","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icpr.2016.7900139","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icpr.2016.7900139","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 23rd International Conference on Pattern Recognition (ICPR)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320332196","display_name":"Sony Electronics","ror":"https://ror.org/05k91zb11"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":54,"referenced_works":["https://openalex.org/W4919037","https://openalex.org/W639708223","https://openalex.org/W1567302070","https://openalex.org/W1665214252","https://openalex.org/W1677182931","https://openalex.org/W1686810756","https://openalex.org/W1832069583","https://openalex.org/W1836465849","https://openalex.org/W1861492603","https://openalex.org/W1894439495","https://openalex.org/W1907282891","https://openalex.org/W1965154800","https://openalex.org/W2022508996","https://openalex.org/W2097117768","https://openalex.org/W2100664567","https://openalex.org/W2107215754","https://openalex.org/W2112739286","https://openalex.org/W2112796928","https://openalex.org/W2117539524","https://openalex.org/W2130942839","https://openalex.org/W2136391815","https://openalex.org/W2158899491","https://openalex.org/W2160815625","https://openalex.org/W2163605009","https://openalex.org/W2186094539","https://openalex.org/W2194775991","https://openalex.org/W2335806594","https://openalex.org/W2919115771","https://openalex.org/W2949117887","https://openalex.org/W2952230511","https://openalex.org/W2952422028","https://openalex.org/W2963574257","https://openalex.org/W2963911037","https://openalex.org/W2963989428","https://openalex.org/W3118608800","https://openalex.org/W6600213771","https://openalex.org/W6637242042","https://openalex.org/W6637373629","https://openalex.org/W6638383728","https://openalex.org/W6638444622","https://openalex.org/W6638667902","https://openalex.org/W6639102338","https://openalex.org/W6639736908","https://openalex.org/W6674914833","https://openalex.org/W6676231585","https://openalex.org/W6677651945","https://openalex.org/W6679436768","https://openalex.org/W6680285999","https://openalex.org/W6683738474","https://openalex.org/W6684191040","https://openalex.org/W6687483927","https://openalex.org/W6696761078","https://openalex.org/W6703257113","https://openalex.org/W6891831295"],"related_works":["https://openalex.org/W4226493464","https://openalex.org/W4312417841","https://openalex.org/W3193565141","https://openalex.org/W3133861977","https://openalex.org/W3167935049","https://openalex.org/W3029198973","https://openalex.org/W2114275278","https://openalex.org/W2769899322","https://openalex.org/W1489511283","https://openalex.org/W2026565050"],"abstract_inverted_index":{"Convolutional":[0,117],"Neural":[1,118],"Networks":[2,119],"(CNN)":[3],"have":[4],"demonstrated":[5],"its":[6,26],"successful":[7],"applications":[8],"in":[9],"computer":[10],"vision,":[11],"speech":[12],"recognition,":[13,20],"and":[14,30,132,142],"natural":[15],"language":[16],"processing.":[17],"For":[18],"object":[19,130],"CNNs":[21],"might":[22],"be":[23,39,93],"limited":[24],"by":[25],"strict":[27],"label":[28],"requirement":[29],"an":[31],"implicit":[32],"assumption":[33],"that":[34],"images":[35,82],"are":[36,68,101],"supposed":[37],"to":[38,121,129],"target-object-dominated":[40],"for":[41],"optimal":[42],"solutions.":[43],"However,":[44],"the":[45,51,75,81,88],"labeling":[46],"procedure,":[47],"necessitating":[48],"laying":[49],"out":[50],"locations":[52],"of":[53],"target":[54],"objects,":[55],"is":[56],"very":[57],"tedious,":[58],"making":[59],"high-quality":[60],"large-scale":[61],"dataset":[62],"prohibitively":[63],"expensive.":[64],"Data":[65],"augmentation":[66,86,99],"schemes":[67],"widely":[69],"used":[70],"when":[71],"deep":[72],"networks":[73],"suffer":[74],"insufficient":[76],"training":[77],"data":[78,85,98],"problem.":[79,124],"All":[80],"produced":[83],"through":[84],"share":[87],"same":[89],"label,":[90],"which":[91],"may":[92],"problematic":[94],"since":[95],"not":[96],"all":[97],"methods":[100],"label-preserving.":[102],"In":[103],"this":[104,123],"paper,":[105],"we":[106],"propose":[107],"a":[108],"weakly":[109],"supervised":[110],"CNN":[111],"framework":[112,128],"named":[113],"Multiple":[114],"Instance":[115],"Learning":[116],"(MILCNN)":[120],"solve":[122],"We":[125],"apply":[126],"MILCNN":[127],"recognition":[131],"report":[133],"state-of-the-art":[134],"performance":[135],"on":[136],"three":[137],"benchmark":[138],"datasets:":[139],"CIFAR10,":[140],"CIFAR100":[141],"ILSVRC2015":[143],"classification":[144],"dataset.":[145]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":3},{"year":2022,"cited_by_count":11},{"year":2021,"cited_by_count":11},{"year":2020,"cited_by_count":11},{"year":2019,"cited_by_count":8},{"year":2018,"cited_by_count":10},{"year":2017,"cited_by_count":4}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
