{"id":"https://openalex.org/W4312910717","doi":"https://doi.org/10.1109/tpami.2022.3226777","title":"Searching for Network Width With Bilaterally Coupled Network","display_name":"Searching for Network Width With Bilaterally Coupled Network","publication_year":2022,"publication_date":"2022-01-01","ids":{"openalex":"https://openalex.org/W4312910717","doi":"https://doi.org/10.1109/tpami.2022.3226777","pmid":"https://pubmed.ncbi.nlm.nih.gov/37015571"},"language":"en","primary_location":{"id":"doi:10.1109/tpami.2022.3226777","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tpami.2022.3226777","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/A5011334334","display_name":"Xiu Su","orcid":"https://orcid.org/0000-0002-9863-5404"},"institutions":[{"id":"https://openalex.org/I129604602","display_name":"The University of Sydney","ror":"https://ror.org/0384j8v12","country_code":"AU","type":"education","lineage":["https://openalex.org/I129604602"]}],"countries":["AU"],"is_corresponding":true,"raw_author_name":"Xiu Su","raw_affiliation_strings":["School of Computer Science, Faculty of Engineering, The University of Sydney, Australia"],"affiliations":[{"raw_affiliation_string":"School of Computer Science, Faculty of Engineering, The University of Sydney, Australia","institution_ids":["https://openalex.org/I129604602"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5083588442","display_name":"Shan You","orcid":"https://orcid.org/0000-0003-1964-0430"},"institutions":[{"id":"https://openalex.org/I29955533","display_name":"Center for Information Technology","ror":"https://ror.org/03jh5a977","country_code":"US","type":"facility","lineage":["https://openalex.org/I1299022934","https://openalex.org/I1299303238","https://openalex.org/I29955533"]},{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN","US"],"is_corresponding":false,"raw_author_name":"Shan You","raw_affiliation_strings":["SenseTime Research Centre","Institute for Artificial Intelligence, Tsinghua University (THUAI), China","Department of Automation, Tsinghua University, China","Beijing National Research Center for Information Science and Technology (BNRist)"],"affiliations":[{"raw_affiliation_string":"SenseTime Research Centre","institution_ids":[]},{"raw_affiliation_string":"Institute for Artificial Intelligence, Tsinghua University (THUAI), China","institution_ids":["https://openalex.org/I99065089"]},{"raw_affiliation_string":"Department of Automation, Tsinghua University, China","institution_ids":["https://openalex.org/I99065089"]},{"raw_affiliation_string":"Beijing National Research Center for Information Science and Technology (BNRist)","institution_ids":["https://openalex.org/I29955533"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5048826896","display_name":"Jiyang Xie","orcid":"https://orcid.org/0000-0003-3659-9476"},"institutions":[{"id":"https://openalex.org/I139759216","display_name":"Beijing University of Posts and Telecommunications","ror":"https://ror.org/04w9fbh59","country_code":"CN","type":"education","lineage":["https://openalex.org/I139759216"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jiyang Xie","raw_affiliation_strings":["Pattern Recognition and Intelligent Systems Lab., Beijing University of Posts and Telecommunications, China"],"affiliations":[{"raw_affiliation_string":"Pattern Recognition and Intelligent Systems Lab., Beijing University of Posts and Telecommunications, China","institution_ids":["https://openalex.org/I139759216"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100455868","display_name":"Fei Wang","orcid":"https://orcid.org/0000-0002-7332-9726"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Fei Wang","raw_affiliation_strings":["SenseTime Research Centre"],"affiliations":[{"raw_affiliation_string":"SenseTime Research Centre","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100428456","display_name":"Qian Chen","orcid":"https://orcid.org/0000-0002-1909-302X"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Chen Qian","raw_affiliation_strings":["SenseTime Research Centre"],"affiliations":[{"raw_affiliation_string":"SenseTime Research Centre","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5065063835","display_name":"Changshui Zhang","orcid":"https://orcid.org/0000-0002-8088-367X"},"institutions":[{"id":"https://openalex.org/I29955533","display_name":"Center for Information Technology","ror":"https://ror.org/03jh5a977","country_code":"US","type":"facility","lineage":["https://openalex.org/I1299022934","https://openalex.org/I1299303238","https://openalex.org/I29955533"]},{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN","US"],"is_corresponding":false,"raw_author_name":"Changshui Zhang","raw_affiliation_strings":["Department of Automation, Tsinghua University, China","Beijing National Research Center for Information Science and Technology (BNRist)","Institute for Artificial Intelligence, Tsinghua University (THUAI), China"],"affiliations":[{"raw_affiliation_string":"Department of Automation, Tsinghua University, China","institution_ids":["https://openalex.org/I99065089"]},{"raw_affiliation_string":"Beijing National Research Center for Information Science and Technology (BNRist)","institution_ids":["https://openalex.org/I29955533"]},{"raw_affiliation_string":"Institute for Artificial Intelligence, Tsinghua University (THUAI), China","institution_ids":["https://openalex.org/I99065089"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5001529504","display_name":"Chang Xu","orcid":"https://orcid.org/0000-0002-4756-0609"},"institutions":[{"id":"https://openalex.org/I129604602","display_name":"The University of Sydney","ror":"https://ror.org/0384j8v12","country_code":"AU","type":"education","lineage":["https://openalex.org/I129604602"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Chang Xu","raw_affiliation_strings":["School of Computer Science, Faculty of Engineering, The University of Sydney, Australia"],"affiliations":[{"raw_affiliation_string":"School of Computer Science, Faculty of Engineering, The University of Sydney, Australia","institution_ids":["https://openalex.org/I129604602"]}]}],"institutions":[],"countries_distinct_count":3,"institutions_distinct_count":7,"corresponding_author_ids":["https://openalex.org/A5011334334"],"corresponding_institution_ids":["https://openalex.org/I129604602"],"apc_list":null,"apc_paid":null,"fwci":0.9653,"has_fulltext":false,"cited_by_count":7,"citation_normalized_percentile":{"value":0.80175177,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":98},"biblio":{"volume":"45","issue":"7","first_page":"1","last_page":"17"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11269","display_name":"Algorithms and Data Compression","score":0.9994999766349792,"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/T11269","display_name":"Algorithms and Data Compression","score":0.9994999766349792,"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/T12288","display_name":"Optimization and Search Problems","score":0.9973000288009644,"subfield":{"id":"https://openalex.org/subfields/1705","display_name":"Computer Networks and Communications"},"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/T12292","display_name":"Graph Theory and Algorithms","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":0.5759726166725159},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5303141474723816},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.36663559079170227},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.3554505705833435}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5759726166725159},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5303141474723816},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.36663559079170227},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.3554505705833435}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/tpami.2022.3226777","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tpami.2022.3226777","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:37015571","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/37015571","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":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":83,"referenced_works":["https://openalex.org/W1686810756","https://openalex.org/W1821462560","https://openalex.org/W2119144962","https://openalex.org/W2126105956","https://openalex.org/W2194775991","https://openalex.org/W2565639579","https://openalex.org/W2601087514","https://openalex.org/W2604998962","https://openalex.org/W2743289088","https://openalex.org/W2808168148","https://openalex.org/W2886851211","https://openalex.org/W2896006880","https://openalex.org/W2928560789","https://openalex.org/W2940478336","https://openalex.org/W2945335799","https://openalex.org/W2947681860","https://openalex.org/W2953604046","https://openalex.org/W2959934193","https://openalex.org/W2962851801","https://openalex.org/W2962965870","https://openalex.org/W2963163009","https://openalex.org/W2963363373","https://openalex.org/W2963382930","https://openalex.org/W2964259004","https://openalex.org/W2967070519","https://openalex.org/W2970155227","https://openalex.org/W2981698279","https://openalex.org/W2984618279","https://openalex.org/W2996319087","https://openalex.org/W2998310140","https://openalex.org/W2998583092","https://openalex.org/W2999270366","https://openalex.org/W3015362971","https://openalex.org/W3028304412","https://openalex.org/W3034528588","https://openalex.org/W3034652926","https://openalex.org/W3035189477","https://openalex.org/W3035377608","https://openalex.org/W3035414587","https://openalex.org/W3035422913","https://openalex.org/W3035467254","https://openalex.org/W3037261029","https://openalex.org/W3082154327","https://openalex.org/W3092207651","https://openalex.org/W3093155142","https://openalex.org/W3094522247","https://openalex.org/W3095851346","https://openalex.org/W3127492156","https://openalex.org/W3167860051","https://openalex.org/W3173966474","https://openalex.org/W3180150746","https://openalex.org/W4297825594","https://openalex.org/W4306169305","https://openalex.org/W6620707391","https://openalex.org/W6637373629","https://openalex.org/W6638523607","https://openalex.org/W6677580257","https://openalex.org/W6696497002","https://openalex.org/W6726275242","https://openalex.org/W6735792551","https://openalex.org/W6751913510","https://openalex.org/W6755034786","https://openalex.org/W6755526309","https://openalex.org/W6755843862","https://openalex.org/W6756887525","https://openalex.org/W6759402996","https://openalex.org/W6761890098","https://openalex.org/W6762610423","https://openalex.org/W6762718338","https://openalex.org/W6763381322","https://openalex.org/W6766171013","https://openalex.org/W6766418557","https://openalex.org/W6767327937","https://openalex.org/W6767534822","https://openalex.org/W6771859737","https://openalex.org/W6774743274","https://openalex.org/W6783671563","https://openalex.org/W6783955940","https://openalex.org/W6784343995","https://openalex.org/W6784467320","https://openalex.org/W6784838754","https://openalex.org/W6790273475","https://openalex.org/W6845574989"],"related_works":["https://openalex.org/W2755342338","https://openalex.org/W2058170566","https://openalex.org/W2036807459","https://openalex.org/W2775347418","https://openalex.org/W1969923398","https://openalex.org/W2166024367","https://openalex.org/W2772917594","https://openalex.org/W3116076068","https://openalex.org/W2229312674","https://openalex.org/W2079911747"],"abstract_inverted_index":{"Searching":[0],"for":[1,16,56,97,144,178],"a":[2,31,51,76,140,150,167],"more":[3,111],"compact":[4],"network":[5,44,102,106],"width":[6,107,170,184],"recently":[7],"serves":[8],"as":[9,126],"an":[10],"effective":[11],"way":[12],"of":[13,19,59,67,101,160,182],"channel":[14,91],"pruning":[15],"the":[17,29,40,57,64,98,118,124,127,146,158,161,179,183,195],"deployment":[18],"convolutional":[20],"neural":[21],"networks":[22],"(CNNs)":[23],"under":[24],"hardware":[25],"constraints.":[26],"To":[27],"fulfil":[28],"searching,":[30],"one-shot":[32],"supernet":[33,78,129],"is":[34,92],"usually":[35],"leveraged":[36],"to":[37,84,116,130,156],"efficiently":[38],"evaluate":[39],"performance":[41,159],"w.r.t.":[42],"different":[43],"widths.":[45],"However,":[46],"current":[47],"methods":[48],"mainly":[49],"follow":[50],"unilaterally":[52],"augmented":[53],"(UA)":[54],"principle":[55],"evaluation":[58],"each":[60,90,105],"width,":[61],"which":[62],"induces":[63],"training":[65,133,145],"unfairness":[66],"channels":[68],"in":[69],"supernet.":[70],"In":[71,88],"this":[72,86],"article,":[73],"we":[74,114,138],"introduce":[75],"new":[77,168],"called":[79],"Bilaterally":[80],"Coupled":[81],"Network":[82],"(BCNet)":[83],"address":[85],"issue.":[87],"BCNet,":[89,147],"fairly":[93],"trained":[94],"and":[95,122,148,189],"responsible":[96],"same":[99],"amount":[100],"widths,":[103],"thus":[104],"can":[108,202],"be":[109],"evaluated":[110],"accurately.":[112],"Besides,":[113],"propose":[115,149,166],"reduce":[117],"redundant":[119],"search":[120,171,185],"space":[121],"present":[123],"BCNetV2":[125],"enhanced":[128],"ensure":[131],"rigorous":[132],"fairness":[134],"over":[135],"channels.":[136],"Furthermore,":[137],"leverage":[139],"stochastic":[141],"complementary":[142],"strategy":[143],"prior":[151],"initial":[152],"population":[153],"sampling":[154],"method":[155,201],"boost":[157],"evolutionary":[162],"search.":[163],"We":[164],"also":[165],"open-source":[169],"benchmark":[172,196],"on":[173,194],"macro":[174],"structures":[175],"named":[176],"Channel-Bench-Macro":[177],"better":[180],"comparisons":[181],"algorithms":[186],"with":[187],"MobileNet-":[188],"ResNet-like":[190],"architectures.":[191],"Extensive":[192],"experiments":[193],"datasets":[197],"demonstrate":[198],"that":[199],"our":[200],"achieve":[203],"state-of-the-art":[204],"performance.":[205]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":4},{"year":2023,"cited_by_count":2}],"updated_date":"2026-03-27T05:58:40.876381","created_date":"2025-10-10T00:00:00"}
