{"id":"https://openalex.org/W2963212773","doi":"https://doi.org/10.24963/ijcai.2017/212","title":"Training Group Orthogonal Neural Networks with Privileged Information","display_name":"Training Group Orthogonal Neural Networks with Privileged Information","publication_year":2017,"publication_date":"2017-07-28","ids":{"openalex":"https://openalex.org/W2963212773","doi":"https://doi.org/10.24963/ijcai.2017/212","mag":"2963212773"},"language":"en","primary_location":{"id":"doi:10.24963/ijcai.2017/212","is_oa":true,"landing_page_url":"https://doi.org/10.24963/ijcai.2017/212","pdf_url":"https://www.ijcai.org/proceedings/2017/0212.pdf","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence","raw_type":"proceedings-article"},"type":"preprint","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.ijcai.org/proceedings/2017/0212.pdf","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5029978692","display_name":"Yunpeng Chen","orcid":"https://orcid.org/0000-0002-9830-8980"},"institutions":[{"id":"https://openalex.org/I165932596","display_name":"National University of Singapore","ror":"https://ror.org/01tgyzw49","country_code":"SG","type":"education","lineage":["https://openalex.org/I165932596"]}],"countries":["SG"],"is_corresponding":false,"raw_author_name":"Yunpeng Chen","raw_affiliation_strings":["National University of Singapore"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"National University of Singapore","institution_ids":["https://openalex.org/I165932596"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101828825","display_name":"Xiaojie Jin","orcid":"https://orcid.org/0000-0003-2789-0923"},"institutions":[{"id":"https://openalex.org/I165932596","display_name":"National University of Singapore","ror":"https://ror.org/01tgyzw49","country_code":"SG","type":"education","lineage":["https://openalex.org/I165932596"]}],"countries":["SG"],"is_corresponding":false,"raw_author_name":"Xiaojie Jin","raw_affiliation_strings":["Department of Electrical and Computer Engineering, National University of Singapore"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, National University of Singapore","institution_ids":["https://openalex.org/I165932596"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100668696","display_name":"Jiashi Feng","orcid":"https://orcid.org/0000-0001-6843-0064"},"institutions":[{"id":"https://openalex.org/I165932596","display_name":"National University of Singapore","ror":"https://ror.org/01tgyzw49","country_code":"SG","type":"education","lineage":["https://openalex.org/I165932596"]}],"countries":["SG"],"is_corresponding":false,"raw_author_name":"Jiashi Feng","raw_affiliation_strings":["Department of Electrical and Computer Engineering, National University of Singapore"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, National University of Singapore","institution_ids":["https://openalex.org/I165932596"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100381753","display_name":"Shuicheng Yan","orcid":"https://orcid.org/0000-0001-8906-3777"},"institutions":[{"id":"https://openalex.org/I165932596","display_name":"National University of Singapore","ror":"https://ror.org/01tgyzw49","country_code":"SG","type":"education","lineage":["https://openalex.org/I165932596"]},{"id":"https://openalex.org/I4210092299","display_name":"Qihoo 360 (China)","ror":"https://ror.org/00p4rkj69","country_code":"CN","type":"company","lineage":["https://openalex.org/I4210092299"]}],"countries":["CN","SG"],"is_corresponding":false,"raw_author_name":"Shuicheng Yan","raw_affiliation_strings":["National University of Singapore","Qihoo 360 AI Institute"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"National University of Singapore","institution_ids":["https://openalex.org/I165932596"]},{"raw_affiliation_string":"Qihoo 360 AI Institute","institution_ids":["https://openalex.org/I4210092299"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.8474,"has_fulltext":false,"cited_by_count":38,"citation_normalized_percentile":{"value":0.91878606,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":91,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"1532","last_page":"1538"},"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/T11307","display_name":"Domain Adaptation and Few-Shot Learning","score":0.9998000264167786,"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":0.9966999888420105,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/pascal","display_name":"Pascal (unit)","score":0.7584050893783569},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7505369186401367},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.7371705174446106},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6373910307884216},{"id":"https://openalex.org/keywords/generalization","display_name":"Generalization","score":0.6123424768447876},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.5168395638465881},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.45776230096817017},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4545241892337799},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.45436954498291016},{"id":"https://openalex.org/keywords/contextual-image-classification","display_name":"Contextual image classification","score":0.43176621198654175},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.4181888997554779},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.39824461936950684},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.37230414152145386},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.1018839180469513}],"concepts":[{"id":"https://openalex.org/C75608658","wikidata":"https://www.wikidata.org/wiki/Q44395","display_name":"Pascal (unit)","level":2,"score":0.7584050893783569},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7505369186401367},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.7371705174446106},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6373910307884216},{"id":"https://openalex.org/C177148314","wikidata":"https://www.wikidata.org/wiki/Q170084","display_name":"Generalization","level":2,"score":0.6123424768447876},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.5168395638465881},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.45776230096817017},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4545241892337799},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.45436954498291016},{"id":"https://openalex.org/C75294576","wikidata":"https://www.wikidata.org/wiki/Q5165192","display_name":"Contextual image classification","level":3,"score":0.43176621198654175},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.4181888997554779},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.39824461936950684},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.37230414152145386},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.1018839180469513},{"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/C94625758","wikidata":"https://www.wikidata.org/wiki/Q7163","display_name":"Politics","level":2,"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/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0},{"id":"https://openalex.org/C13280743","wikidata":"https://www.wikidata.org/wiki/Q131089","display_name":"Geodesy","level":1,"score":0.0},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.24963/ijcai.2017/212","is_oa":true,"landing_page_url":"https://doi.org/10.24963/ijcai.2017/212","pdf_url":"https://www.ijcai.org/proceedings/2017/0212.pdf","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.24963/ijcai.2017/212","is_oa":true,"landing_page_url":"https://doi.org/10.24963/ijcai.2017/212","pdf_url":"https://www.ijcai.org/proceedings/2017/0212.pdf","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence","raw_type":"proceedings-article"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/4","score":0.41999998688697815,"display_name":"Quality Education"}],"awards":[{"id":"https://openalex.org/G905777319","display_name":null,"funder_award_id":"R-263-000-C08-133","funder_id":"https://openalex.org/F4320320698","funder_display_name":"National University of Singapore"}],"funders":[{"id":"https://openalex.org/F4320320698","display_name":"National University of Singapore","ror":"https://ror.org/01tgyzw49"}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2963212773.pdf","grobid_xml":"https://content.openalex.org/works/W2963212773.grobid-xml"},"referenced_works_count":22,"referenced_works":["https://openalex.org/W1495267108","https://openalex.org/W1507506748","https://openalex.org/W1546411676","https://openalex.org/W1603728330","https://openalex.org/W1686810756","https://openalex.org/W1821462560","https://openalex.org/W2031489346","https://openalex.org/W2037511607","https://openalex.org/W2067562626","https://openalex.org/W2108598243","https://openalex.org/W2138580951","https://openalex.org/W2169408065","https://openalex.org/W2173379916","https://openalex.org/W2186615578","https://openalex.org/W2194775991","https://openalex.org/W2201305792","https://openalex.org/W2493049062","https://openalex.org/W2962737770","https://openalex.org/W2964350391","https://openalex.org/W4293390340","https://openalex.org/W4293568472","https://openalex.org/W4294378316"],"related_works":["https://openalex.org/W2493838176","https://openalex.org/W4297686120","https://openalex.org/W2911497689","https://openalex.org/W2952813363","https://openalex.org/W4360783045","https://openalex.org/W2963346891","https://openalex.org/W3176438653","https://openalex.org/W2770149305","https://openalex.org/W3167930666","https://openalex.org/W3014952856"],"abstract_inverted_index":{"Learning":[0],"rich":[1],"and":[2,43,73,105],"diverse":[3],"representations":[4,42,64],"is":[5],"critical":[6],"for":[7],"the":[8,37,95,111,121,126,145],"performance":[9,127],"of":[10,30,115,128,135,142,144,150],"deep":[11],"convolutional":[12,57],"neural":[13,58],"networks":[14],"(CNNs).":[15],"In":[16],"this":[17,49],"paper,":[18],"we":[19,51],"consider":[20],"how":[21],"to":[22,26,157],"use":[23],"privileged":[24,71,92,140,155],"information":[25,72,93,141],"promote":[27],"inherent":[28],"diversity":[29,76],"a":[31,53],"single":[32],"CNN":[33],"model":[34,38,131],"such":[35],"that":[36,61],"can":[39],"learn":[40],"better":[41,159],"offer":[44],"stronger":[45],"generalization":[46,113],"ability.":[47],"To":[48],"end,":[50],"propose":[52],"novel":[54],"group":[55],"orthogonal":[56],"network":[59],"(GoCNN)":[60],"learns":[62],"untangled":[63],"within":[65],"each":[66],"layer":[67],"by":[68,132],"exploiting":[69],"provided":[70],"enhances":[74],"representation":[75],"effectively.":[77],"We":[78],"take":[79],"image":[80,86],"classification":[81],"as":[82,91],"an":[83],"example":[84],"where":[85],"segmentation":[87],"annotations":[88],"are":[89],"used":[90],"during":[94],"training":[96,146],"process.":[97],"Experiments":[98],"on":[99,152],"two":[100],"benchmark":[101],"datasets":[102],"\u2013":[103,108],"ImageNet":[104,122],"PASCAL":[106],"VOC":[107],"clearly":[109],"demonstrate":[110],"strong":[112],"ability":[114],"our":[116],"proposed":[117],"GoCNN":[118,124,151],"model.":[119],"On":[120],"dataset,":[123],"improves":[125],"state-of-the-art":[129],"ResNet-152":[130],"absolute":[133],"value":[134],"1.2%":[136],"while":[137],"only":[138],"uses":[139],"10%":[143],"images,":[147],"confirming":[148],"effectiveness":[149],"utilizing":[153],"available":[154],"knowledge":[156],"train":[158],"CNNs.":[160]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":4},{"year":2023,"cited_by_count":4},{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":6},{"year":2020,"cited_by_count":10},{"year":2019,"cited_by_count":4},{"year":2018,"cited_by_count":6}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}