{"id":"https://openalex.org/W3134785391","doi":"https://doi.org/10.1155/2021/6621760","title":"Genetic Feature Fusion for Object Skeleton Detection","display_name":"Genetic Feature Fusion for Object Skeleton Detection","publication_year":2021,"publication_date":"2021-03-08","ids":{"openalex":"https://openalex.org/W3134785391","doi":"https://doi.org/10.1155/2021/6621760","mag":"3134785391"},"language":"en","primary_location":{"id":"doi:10.1155/2021/6621760","is_oa":true,"landing_page_url":"http://doi.org/10.1155/2021/6621760","pdf_url":"https://downloads.hindawi.com/journals/scn/2021/6621760.pdf","source":{"id":"https://openalex.org/S120683614","display_name":"Security and Communication Networks","issn_l":"1939-0114","issn":["1939-0114","1939-0122"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319869","host_organization_name":"Hindawi Publishing Corporation","host_organization_lineage":["https://openalex.org/P4310319869"],"host_organization_lineage_names":["Hindawi Publishing Corporation"],"type":"journal"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Security and Communication Networks","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"hybrid","oa_url":"https://downloads.hindawi.com/journals/scn/2021/6621760.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":null,"display_name":"Yang Qiao","orcid":"https://orcid.org/0000-0003-1080-614X"},"institutions":[{"id":"https://openalex.org/I4210165038","display_name":"University of Chinese Academy of Sciences","ror":"https://ror.org/05qbk4x57","country_code":"CN","type":"education","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210165038"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yang Qiao","raw_affiliation_strings":["School of Electronic, Electrical, and Communication Engineering, University of Chinese Academy of Sciences, Beijing 100049, China"],"raw_orcid":"https://orcid.org/0000-0003-1080-614X","affiliations":[{"raw_affiliation_string":"School of Electronic, Electrical, and Communication Engineering, University of Chinese Academy of Sciences, Beijing 100049, China","institution_ids":["https://openalex.org/I4210165038"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5069782593","display_name":"Yunjie Tian","orcid":"https://orcid.org/0000-0002-5103-3748"},"institutions":[{"id":"https://openalex.org/I4210165038","display_name":"University of Chinese Academy of Sciences","ror":"https://ror.org/05qbk4x57","country_code":"CN","type":"education","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210165038"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yunjie Tian","raw_affiliation_strings":["School of Electronic, Electrical, and Communication Engineering, University of Chinese Academy of Sciences, Beijing 100049, China"],"raw_orcid":"https://orcid.org/0000-0002-5103-3748","affiliations":[{"raw_affiliation_string":"School of Electronic, Electrical, and Communication Engineering, University of Chinese Academy of Sciences, Beijing 100049, China","institution_ids":["https://openalex.org/I4210165038"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100320012","display_name":"Yue Liu","orcid":"https://orcid.org/0000-0001-5880-4923"},"institutions":[{"id":"https://openalex.org/I4210165038","display_name":"University of Chinese Academy of Sciences","ror":"https://ror.org/05qbk4x57","country_code":"CN","type":"education","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210165038"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yue Liu","raw_affiliation_strings":["School of Electronic, Electrical, and Communication Engineering, University of Chinese Academy of Sciences, Beijing 100049, China"],"raw_orcid":"https://orcid.org/0000-0001-5880-4923","affiliations":[{"raw_affiliation_string":"School of Electronic, Electrical, and Communication Engineering, University of Chinese Academy of Sciences, Beijing 100049, China","institution_ids":["https://openalex.org/I4210165038"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5110088325","display_name":"Jianbin Jiao","orcid":"https://orcid.org/0000-0003-0454-3929"},"institutions":[{"id":"https://openalex.org/I4210165038","display_name":"University of Chinese Academy of Sciences","ror":"https://ror.org/05qbk4x57","country_code":"CN","type":"education","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210165038"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Jianbin Jiao","raw_affiliation_strings":["School of Electronic, Electrical, and Communication Engineering, University of Chinese Academy of Sciences, Beijing 100049, China"],"raw_orcid":"https://orcid.org/0000-0003-0454-3929","affiliations":[{"raw_affiliation_string":"School of Electronic, Electrical, and Communication Engineering, University of Chinese Academy of Sciences, Beijing 100049, China","institution_ids":["https://openalex.org/I4210165038"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5110088325"],"corresponding_institution_ids":["https://openalex.org/I4210165038"],"apc_list":{"value":2100,"currency":"USD","value_usd":2100},"apc_paid":{"value":2100,"currency":"USD","value_usd":2100},"fwci":0.097,"has_fulltext":true,"cited_by_count":1,"citation_normalized_percentile":{"value":0.35269161,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":"2021","issue":null,"first_page":"1","last_page":"9"},"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/T10812","display_name":"Human Pose and Action Recognition","score":0.9987000226974487,"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":0.9979000091552734,"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":0.8971279859542847},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7016972899436951},{"id":"https://openalex.org/keywords/pooling","display_name":"Pooling","score":0.577186107635498},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.5319362878799438},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.527686595916748},{"id":"https://openalex.org/keywords/skeleton","display_name":"Skeleton (computer programming)","score":0.5103997588157654},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5059923529624939},{"id":"https://openalex.org/keywords/object-detection","display_name":"Object detection","score":0.504362940788269},{"id":"https://openalex.org/keywords/initialization","display_name":"Initialization","score":0.48230886459350586},{"id":"https://openalex.org/keywords/feature-vector","display_name":"Feature vector","score":0.43037787079811096},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.42950835824012756},{"id":"https://openalex.org/keywords/encoder","display_name":"Encoder","score":0.42625629901885986},{"id":"https://openalex.org/keywords/object","display_name":"Object (grammar)","score":0.4236736297607422}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8971279859542847},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7016972899436951},{"id":"https://openalex.org/C70437156","wikidata":"https://www.wikidata.org/wiki/Q7228652","display_name":"Pooling","level":2,"score":0.577186107635498},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.5319362878799438},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.527686595916748},{"id":"https://openalex.org/C18969341","wikidata":"https://www.wikidata.org/wiki/Q1169129","display_name":"Skeleton (computer programming)","level":2,"score":0.5103997588157654},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5059923529624939},{"id":"https://openalex.org/C2776151529","wikidata":"https://www.wikidata.org/wiki/Q3045304","display_name":"Object detection","level":3,"score":0.504362940788269},{"id":"https://openalex.org/C114466953","wikidata":"https://www.wikidata.org/wiki/Q6034165","display_name":"Initialization","level":2,"score":0.48230886459350586},{"id":"https://openalex.org/C83665646","wikidata":"https://www.wikidata.org/wiki/Q42139305","display_name":"Feature vector","level":2,"score":0.43037787079811096},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.42950835824012756},{"id":"https://openalex.org/C118505674","wikidata":"https://www.wikidata.org/wiki/Q42586063","display_name":"Encoder","level":2,"score":0.42625629901885986},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.4236736297607422},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"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/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1155/2021/6621760","is_oa":true,"landing_page_url":"http://doi.org/10.1155/2021/6621760","pdf_url":"https://downloads.hindawi.com/journals/scn/2021/6621760.pdf","source":{"id":"https://openalex.org/S120683614","display_name":"Security and Communication Networks","issn_l":"1939-0114","issn":["1939-0114","1939-0122"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319869","host_organization_name":"Hindawi Publishing Corporation","host_organization_lineage":["https://openalex.org/P4310319869"],"host_organization_lineage_names":["Hindawi Publishing Corporation"],"type":"journal"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Security and Communication Networks","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:a8d6828fc0334d8296611fb50afa0b13","is_oa":false,"landing_page_url":"https://doaj.org/article/a8d6828fc0334d8296611fb50afa0b13","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Security and Communication Networks, Vol 2021 (2021)","raw_type":"article"},{"id":"pmh:oai:hindawi.com:10.1155/2021/6621760","is_oa":true,"landing_page_url":"https://doi.org/10.1155/2021/6621760","pdf_url":null,"source":{"id":"https://openalex.org/S4306400340","display_name":"Hindawi Journal of Chemistry (Hindawi)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I4210126990","host_organization_name":"Hindawi (United Kingdom)","host_organization_lineage":["https://openalex.org/I4210126990"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Research Article"}],"best_oa_location":{"id":"doi:10.1155/2021/6621760","is_oa":true,"landing_page_url":"http://doi.org/10.1155/2021/6621760","pdf_url":"https://downloads.hindawi.com/journals/scn/2021/6621760.pdf","source":{"id":"https://openalex.org/S120683614","display_name":"Security and Communication Networks","issn_l":"1939-0114","issn":["1939-0114","1939-0122"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319869","host_organization_name":"Hindawi Publishing Corporation","host_organization_lineage":["https://openalex.org/P4310319869"],"host_organization_lineage_names":["Hindawi Publishing Corporation"],"type":"journal"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Security and Communication Networks","raw_type":"journal-article"},"sustainable_development_goals":[{"display_name":"Decent work and economic growth","score":0.6499999761581421,"id":"https://metadata.un.org/sdg/8"}],"awards":[{"id":"https://openalex.org/G1295000622","display_name":null,"funder_award_id":"61836012","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G262599272","display_name":"\u9ad8\u6e05\u6670\u5ea6\u822a\u62cd\u4e0e\u9065\u611f\u5f71\u50cf\u76ee\u6807\u9c81\u68d2\u6027\u68c0\u6d4b\u65b9\u6cd5\u7814\u7a76","funder_award_id":"61771447","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G3153858512","display_name":null,"funder_award_id":"XDA27010303","funder_id":"https://openalex.org/F4320321133","funder_display_name":"Chinese Academy of Sciences"},{"id":"https://openalex.org/G4410908803","display_name":null,"funder_award_id":"61836012","funder_id":"https://openalex.org/F4320321133","funder_display_name":"Chinese Academy of Sciences"},{"id":"https://openalex.org/G6382165142","display_name":null,"funder_award_id":"XDA27010303","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G8693163710","display_name":null,"funder_award_id":"61771447","funder_id":"https://openalex.org/F4320321133","funder_display_name":"Chinese Academy of Sciences"},{"id":"https://openalex.org/G921322188","display_name":null,"funder_award_id":"61836012 and 61771447","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/F4320321133","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35"}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W3134785391.pdf","grobid_xml":"https://content.openalex.org/works/W3134785391.grobid-xml"},"referenced_works_count":44,"referenced_works":["https://openalex.org/W174734558","https://openalex.org/W845365781","https://openalex.org/W1522301498","https://openalex.org/W1686810756","https://openalex.org/W1901129140","https://openalex.org/W1935817682","https://openalex.org/W2160306297","https://openalex.org/W2217188300","https://openalex.org/W2307770531","https://openalex.org/W2481240925","https://openalex.org/W2518902831","https://openalex.org/W2553303224","https://openalex.org/W2560622558","https://openalex.org/W2591692311","https://openalex.org/W2767194224","https://openalex.org/W2785366763","https://openalex.org/W2883596444","https://openalex.org/W2887043285","https://openalex.org/W2946948417","https://openalex.org/W2951104886","https://openalex.org/W2955425717","https://openalex.org/W2955846851","https://openalex.org/W2958458355","https://openalex.org/W2963136578","https://openalex.org/W2963432488","https://openalex.org/W2963722952","https://openalex.org/W2963918968","https://openalex.org/W2964081807","https://openalex.org/W2964216471","https://openalex.org/W2964304707","https://openalex.org/W2964444661","https://openalex.org/W2964611196","https://openalex.org/W2965658867","https://openalex.org/W2979796099","https://openalex.org/W3023712858","https://openalex.org/W3035223629","https://openalex.org/W3099418968","https://openalex.org/W3161503361","https://openalex.org/W3184418149","https://openalex.org/W4300687381","https://openalex.org/W6631190155","https://openalex.org/W6752515464","https://openalex.org/W6776717175","https://openalex.org/W6780502952"],"related_works":["https://openalex.org/W2953234277","https://openalex.org/W3204184292","https://openalex.org/W2626256601","https://openalex.org/W3176564347","https://openalex.org/W147410782","https://openalex.org/W2900413183","https://openalex.org/W2355833770","https://openalex.org/W1985458517","https://openalex.org/W3022252430","https://openalex.org/W4390975304"],"abstract_inverted_index":{"Object":[0],"skeleton":[1,33,42,76,161],"detection":[2,43,162],"requires":[3],"the":[4,15,19,25,30,49,59,72,80,87,133,138,142,152,155,166],"convolutional":[5],"neural":[6],"networks":[7,53,150],"to":[8,107],"recognize":[9],"objects":[10],"and":[11,28,86],"their":[12],"parts":[13],"in":[14,35,136],"cluttered":[16],"background,":[17],"overcome":[18],"image":[20],"definition":[21],"degradation":[22],"brought":[23],"by":[24,63],"pooling":[26],"layers,":[27],"predict":[29],"location":[31],"of":[32,51,74,146,154,168],"pixels":[34],"different":[36],"scale":[37],"granularity.":[38],"Most":[39],"existing":[40],"object":[41,75],"methods":[44,157],"take":[45],"great":[46,60],"efforts":[47],"into":[48],"designing":[50],"side-output":[52],"for":[54,117],"multiscale":[55,119],"feature":[56,120],"fusion.":[57,121],"Despite":[58],"progress":[61],"achieved":[62],"them,":[64],"there":[65],"are":[66],"still":[67],"many":[68],"problems":[69],"that":[70],"hinder":[71],"development":[73],"detection,":[77],"such":[78],"as":[79],"manually":[81],"designed":[82,113],"network":[83,88],"is":[84],"labor-intensive":[85],"initialization":[89],"depends":[90],"on":[91,94,110,131,158],"models":[92],"pretrained":[93,144],"large-scale":[95],"datasets.":[96],"To":[97],"alleviate":[98],"these":[99],"issues,":[100],"we":[101,123],"propose":[102],"a":[103,111,125],"genetic":[104],"NAS":[105],"method":[106],"automatically":[108],"search":[109,115,128],"newly":[112],"architecture":[114],"space":[116,129],"adaptive":[118],"Furthermore,":[122],"introduce":[124],"symmetric":[126],"encoder-decoder":[127],"based":[130],"reversing":[132],"VGG":[134],"network,":[135],"which":[137,164],"decoder":[139],"can":[140],"reuse":[141],"ImageNet":[143],"model":[145],"VGG.":[147],"The":[148],"searched":[149],"improve":[151],"performance":[153],"state-of-the-art":[156],"commonly":[159],"used":[160],"benchmarks,":[163],"proves":[165],"efficacy":[167],"our":[169],"method.":[170]},"counts_by_year":[{"year":2021,"cited_by_count":1}],"updated_date":"2026-06-06T09:05:17.133730","created_date":"2025-10-10T00:00:00"}