{"id":"https://openalex.org/W4285307509","doi":"https://doi.org/10.1109/mwc.2020.2000351","title":"Augmented Semi-Supervised Learning for Salient Object Detection with Edge Computing","display_name":"Augmented Semi-Supervised Learning for Salient Object Detection with Edge Computing","publication_year":2022,"publication_date":"2022-05-05","ids":{"openalex":"https://openalex.org/W4285307509","doi":"https://doi.org/10.1109/mwc.2020.2000351"},"language":"en","primary_location":{"id":"doi:10.1109/mwc.2020.2000351","is_oa":false,"landing_page_url":"https://doi.org/10.1109/mwc.2020.2000351","pdf_url":null,"source":{"id":"https://openalex.org/S146764194","display_name":"IEEE Wireless Communications","issn_l":"1536-1284","issn":["1536-1284","1558-0687"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["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 Wireless Communications","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"http://hdl.handle.net/10251/201884","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5084912833","display_name":"Chengjin Yu","orcid":"https://orcid.org/0000-0003-2544-3142"},"institutions":[{"id":"https://openalex.org/I76130692","display_name":"Zhejiang University","ror":"https://ror.org/00a2xv884","country_code":"CN","type":"education","lineage":["https://openalex.org/I76130692"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chengjin Yu","raw_affiliation_strings":["Zhejiang University,China","Zhejiang University, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Zhejiang University,China","institution_ids":["https://openalex.org/I76130692"]},{"raw_affiliation_string":"Zhejiang University, China","institution_ids":["https://openalex.org/I76130692"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100430705","display_name":"Yanping Zhang","orcid":"https://orcid.org/0000-0002-5678-3038"},"institutions":[{"id":"https://openalex.org/I143868143","display_name":"Anhui University","ror":"https://ror.org/05th6yx34","country_code":"CN","type":"education","lineage":["https://openalex.org/I143868143"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yanping Zhang","raw_affiliation_strings":["Anhui University,China","Anhui University, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Anhui University,China","institution_ids":["https://openalex.org/I143868143"]},{"raw_affiliation_string":"Anhui University, China","institution_ids":["https://openalex.org/I143868143"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5066710236","display_name":"Mithun Mukherjee","orcid":"https://orcid.org/0000-0002-6605-180X"},"institutions":[{"id":"https://openalex.org/I200845125","display_name":"Nanjing University of Information Science and Technology","ror":"https://ror.org/02y0rxk19","country_code":"CN","type":"education","lineage":["https://openalex.org/I200845125"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Mithun Mukherjee","raw_affiliation_strings":["Nanjing University of Information Science and Technology,China","Nanjing University of Information Science and Technology, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Nanjing University of Information Science and Technology,China","institution_ids":["https://openalex.org/I200845125"]},{"raw_affiliation_string":"Nanjing University of Information Science and Technology, China","institution_ids":["https://openalex.org/I200845125"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5061267204","display_name":"Jaime Lloret","orcid":"https://orcid.org/0000-0002-0862-0533"},"institutions":[{"id":"https://openalex.org/I60053951","display_name":"Universitat Polit\u00e8cnica de Val\u00e8ncia","ror":"https://ror.org/01460j859","country_code":"ES","type":"education","lineage":["https://openalex.org/I60053951"]}],"countries":["ES"],"is_corresponding":false,"raw_author_name":"Jaime Lloret","raw_affiliation_strings":["Universitat Politecnica de Valencia,Spain","Universitat Politecnica de Valencia, Spain"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Universitat Politecnica de Valencia,Spain","institution_ids":["https://openalex.org/I60053951"]},{"raw_affiliation_string":"Universitat Politecnica de Valencia, Spain","institution_ids":["https://openalex.org/I60053951"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.9788,"has_fulltext":false,"cited_by_count":10,"citation_normalized_percentile":{"value":0.75889854,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":"29","issue":"3","first_page":"109","last_page":"114"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11605","display_name":"Visual Attention and Saliency Detection","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/T11605","display_name":"Visual Attention and Saliency Detection","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/T11094","display_name":"Face Recognition and Perception","score":0.9793999791145325,"subfield":{"id":"https://openalex.org/subfields/2805","display_name":"Cognitive Neuroscience"},"field":{"id":"https://openalex.org/fields/28","display_name":"Neuroscience"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},{"id":"https://openalex.org/T11659","display_name":"Advanced Image Fusion Techniques","score":0.967199981212616,"subfield":{"id":"https://openalex.org/subfields/2214","display_name":"Media Technology"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8821197748184204},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6978392004966736},{"id":"https://openalex.org/keywords/enhanced-data-rates-for-gsm-evolution","display_name":"Enhanced Data Rates for GSM Evolution","score":0.6745826601982117},{"id":"https://openalex.org/keywords/edge-device","display_name":"Edge device","score":0.6148464679718018},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.5920201539993286},{"id":"https://openalex.org/keywords/edge-computing","display_name":"Edge computing","score":0.5830612182617188},{"id":"https://openalex.org/keywords/deep-belief-network","display_name":"Deep belief network","score":0.5650613307952881},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.5322323441505432},{"id":"https://openalex.org/keywords/cloud-computing","display_name":"Cloud computing","score":0.5260260701179504},{"id":"https://openalex.org/keywords/supervised-learning","display_name":"Supervised learning","score":0.4883567988872528},{"id":"https://openalex.org/keywords/network-architecture","display_name":"Network architecture","score":0.4705379903316498},{"id":"https://openalex.org/keywords/salient","display_name":"Salient","score":0.45812875032424927},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.2863033413887024},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.0938979983329773}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8821197748184204},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6978392004966736},{"id":"https://openalex.org/C162307627","wikidata":"https://www.wikidata.org/wiki/Q204833","display_name":"Enhanced Data Rates for GSM Evolution","level":2,"score":0.6745826601982117},{"id":"https://openalex.org/C138236772","wikidata":"https://www.wikidata.org/wiki/Q25098575","display_name":"Edge device","level":3,"score":0.6148464679718018},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5920201539993286},{"id":"https://openalex.org/C2778456923","wikidata":"https://www.wikidata.org/wiki/Q5337692","display_name":"Edge computing","level":3,"score":0.5830612182617188},{"id":"https://openalex.org/C97385483","wikidata":"https://www.wikidata.org/wiki/Q16954980","display_name":"Deep belief network","level":3,"score":0.5650613307952881},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.5322323441505432},{"id":"https://openalex.org/C79974875","wikidata":"https://www.wikidata.org/wiki/Q483639","display_name":"Cloud computing","level":2,"score":0.5260260701179504},{"id":"https://openalex.org/C136389625","wikidata":"https://www.wikidata.org/wiki/Q334384","display_name":"Supervised learning","level":3,"score":0.4883567988872528},{"id":"https://openalex.org/C193415008","wikidata":"https://www.wikidata.org/wiki/Q639681","display_name":"Network architecture","level":2,"score":0.4705379903316498},{"id":"https://openalex.org/C2780719617","wikidata":"https://www.wikidata.org/wiki/Q1030752","display_name":"Salient","level":2,"score":0.45812875032424927},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.2863033413887024},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.0938979983329773},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/mwc.2020.2000351","is_oa":false,"landing_page_url":"https://doi.org/10.1109/mwc.2020.2000351","pdf_url":null,"source":{"id":"https://openalex.org/S146764194","display_name":"IEEE Wireless Communications","issn_l":"1536-1284","issn":["1536-1284","1558-0687"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["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 Wireless Communications","raw_type":"journal-article"},{"id":"pmh:oai:riunet.upv.es:10251/201884","is_oa":true,"landing_page_url":"http://hdl.handle.net/10251/201884","pdf_url":null,"source":{"id":"https://openalex.org/S4306401646","display_name":"Repositorio Institucional de la Universitat Polit\u00e8cnica (Universitat Polit\u00e8cnica de Val\u00e8ncia)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I60053951","host_organization_name":"Universitat Polit\u00e8cnica de Val\u00e8ncia","host_organization_lineage":["https://openalex.org/I60053951"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"info:eu-repo/semantics/article"}],"best_oa_location":{"id":"pmh:oai:riunet.upv.es:10251/201884","is_oa":true,"landing_page_url":"http://hdl.handle.net/10251/201884","pdf_url":null,"source":{"id":"https://openalex.org/S4306401646","display_name":"Repositorio Institucional de la Universitat Polit\u00e8cnica (Universitat Polit\u00e8cnica de Val\u00e8ncia)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I60053951","host_organization_name":"Universitat Polit\u00e8cnica de Val\u00e8ncia","host_organization_lineage":["https://openalex.org/I60053951"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"info:eu-repo/semantics/article"},"sustainable_development_goals":[{"display_name":"Peace, Justice and strong institutions","id":"https://metadata.un.org/sdg/16","score":0.75}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":16,"referenced_works":["https://openalex.org/W1947031653","https://openalex.org/W2160613239","https://openalex.org/W2338972621","https://openalex.org/W2547489168","https://openalex.org/W2560619664","https://openalex.org/W2786070938","https://openalex.org/W2808139377","https://openalex.org/W2809944691","https://openalex.org/W2885631546","https://openalex.org/W2955330046","https://openalex.org/W2963951674","https://openalex.org/W2964115256","https://openalex.org/W3000469557","https://openalex.org/W3017135785","https://openalex.org/W3048466305","https://openalex.org/W3098389804"],"related_works":["https://openalex.org/W4322761281","https://openalex.org/W4238233472","https://openalex.org/W4313463218","https://openalex.org/W4312996489","https://openalex.org/W3111395152","https://openalex.org/W4313526662","https://openalex.org/W3106131444","https://openalex.org/W3216099748","https://openalex.org/W4205963435","https://openalex.org/W4319161913"],"abstract_inverted_index":{"Salient":[0],"object":[1],"detection":[2],"(SOD)":[3],"from":[4,35,129],"raw":[5],"sensor":[6],"images":[7],"in":[8,19,72,107,118],"the":[9,16,20,26,51,73,92,101,112,121,133,140,155,160,168,177,186,221],"edge":[10,59,74,93,109,130,222],"networks":[11,104,124],"can":[12,158,212],"effectively":[13],"speed":[14],"up":[15],"decision-making":[17],"process":[18],"complex":[21],"environments,":[22],"because":[23],"it":[24],"simulates":[25],"mechanism":[27],"of":[28,39,98,162,170,185,194],"human":[29],"attention":[30],"to":[31,67,175],"identify":[32],"salient":[33],"objects":[34],"images.":[36],"The":[37,95],"success":[38],"supervised":[40],"deep":[41,69,218],"learning":[42,70,87,184,197,210,219],"approaches":[43],"have":[44],"been":[45],"widely":[46],"proved":[47],"SOD":[48,90],"field.":[49],"However,":[50],"imbalanced":[52],"and":[53,111],"limited":[54],"training":[55,161],"data":[56,128],"at":[57],"each":[58,146],"device":[60],"pose":[61],"a":[62,82,191],"huge":[63],"challenge":[64],"for":[65,89,182,220],"us":[66],"deploy":[68],"methods":[71],"computing":[75],"environments.":[76],"In":[77],"this":[78],"article,":[79],"we":[80,144,166],"propose":[81],"cloud-edge":[83],"distributed":[84],"augmented":[85,114,135,152,208],"semi-supervised":[86,183,196,209],"architecture":[88],"over":[91],"networks.":[94],"framework":[96,198,211],"consists":[97],"two":[99],"components:":[100],"base":[102,122,147,172],"classification":[103,123,148,173],"are":[105,125,180],"employed":[106,117],"different":[108],"nodes,":[110],"reverse":[113,134,151],"network":[115,136,149,157,174],"is":[116,137],"cloud.":[119],"First,":[120],"trained":[126,138],"with":[127,139,150],"nodes":[131],"while":[132],"whole":[141],"data.":[142],"Then,":[143],"concatenate":[145],"network,":[153],"thus":[154],"latter":[156],"help":[159],"former":[163],"network.":[164,188],"Finally,":[165],"integrate":[167],"outputs":[169],"all":[171],"generate":[176],"pseudo-labels,":[178],"which":[179],"used":[181],"augment":[187],"We":[189],"demonstrated":[190],"convincing":[192],"performance":[193],"our":[195,207],"on":[199,217],"four":[200],"bench-marked":[201],"data-sets.":[202],"These":[203],"results":[204],"show":[205],"that":[206],"outperform":[213],"other":[214],"optimization":[215],"strategies":[216],"computing.":[223]},"counts_by_year":[{"year":2025,"cited_by_count":4},{"year":2024,"cited_by_count":3},{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
