{"id":"https://openalex.org/W3211024799","doi":"https://doi.org/10.3233/jifs-211648","title":"An object detection network based on YOLOv4 and improved spatial attention mechanism","display_name":"An object detection network based on YOLOv4 and improved spatial attention mechanism","publication_year":2021,"publication_date":"2021-10-29","ids":{"openalex":"https://openalex.org/W3211024799","doi":"https://doi.org/10.3233/jifs-211648","mag":"3211024799"},"language":"en","primary_location":{"id":"doi:10.3233/jifs-211648","is_oa":false,"landing_page_url":"https://doi.org/10.3233/jifs-211648","pdf_url":null,"source":{"id":"https://openalex.org/S179157397","display_name":"Journal of Intelligent & Fuzzy Systems","issn_l":"1064-1246","issn":["1064-1246","1875-8967"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310318577","host_organization_name":"IOS Press","host_organization_lineage":["https://openalex.org/P4310318577"],"host_organization_lineage_names":["IOS Press"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Intelligent & Fuzzy Systems","raw_type":"journal-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/A5100784235","display_name":"Zhixiong Chen","orcid":"https://orcid.org/0000-0002-3246-1923"},"institutions":[{"id":"https://openalex.org/I96908189","display_name":"Xinjiang University","ror":"https://ror.org/059gw8r13","country_code":"CN","type":"education","lineage":["https://openalex.org/I96908189"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhixiong Chen","raw_affiliation_strings":["School of Software, Xin Jiang University, Urumqi, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Software, Xin Jiang University, Urumqi, China","institution_ids":["https://openalex.org/I96908189"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5075221279","display_name":"Shengwei Tian","orcid":"https://orcid.org/0000-0003-3525-5102"},"institutions":[{"id":"https://openalex.org/I96908189","display_name":"Xinjiang University","ror":"https://ror.org/059gw8r13","country_code":"CN","type":"education","lineage":["https://openalex.org/I96908189"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Shengwei Tian","raw_affiliation_strings":["School of Software, Xin Jiang University, Urumqi, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Software, Xin Jiang University, Urumqi, China","institution_ids":["https://openalex.org/I96908189"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5057774088","display_name":"Long Yu","orcid":"https://orcid.org/0000-0002-9038-4129"},"institutions":[{"id":"https://openalex.org/I96908189","display_name":"Xinjiang University","ror":"https://ror.org/059gw8r13","country_code":"CN","type":"education","lineage":["https://openalex.org/I96908189"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Long Yu","raw_affiliation_strings":["Network Center, Xin Jiang University, Urumqi, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Network Center, Xin Jiang University, Urumqi, China","institution_ids":["https://openalex.org/I96908189"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100459445","display_name":"Liqiang Zhang","orcid":"https://orcid.org/0000-0002-4175-7590"},"institutions":[{"id":"https://openalex.org/I96908189","display_name":"Xinjiang University","ror":"https://ror.org/059gw8r13","country_code":"CN","type":"education","lineage":["https://openalex.org/I96908189"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Liqiang Zhang","raw_affiliation_strings":["School of Software, Xin Jiang University, Urumqi, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Software, Xin Jiang University, Urumqi, China","institution_ids":["https://openalex.org/I96908189"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100769571","display_name":"Xinyu Zhang","orcid":"https://orcid.org/0000-0002-2838-1445"},"institutions":[{"id":"https://openalex.org/I96908189","display_name":"Xinjiang University","ror":"https://ror.org/059gw8r13","country_code":"CN","type":"education","lineage":["https://openalex.org/I96908189"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xinyu Zhang","raw_affiliation_strings":["School of Software, Xin Jiang University, Urumqi, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Software, Xin Jiang University, Urumqi, China","institution_ids":["https://openalex.org/I96908189"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5075221279"],"corresponding_institution_ids":["https://openalex.org/I96908189"],"apc_list":null,"apc_paid":null,"fwci":1.2248,"has_fulltext":false,"cited_by_count":18,"citation_normalized_percentile":{"value":0.81781202,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":98},"biblio":{"volume":"42","issue":"3","first_page":"2359","last_page":"2368"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10036","display_name":"Advanced Neural Network Applications","score":0.9997000098228455,"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":0.9997000098228455,"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/T11605","display_name":"Visual Attention and Saliency Detection","score":0.9829000234603882,"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/T10689","display_name":"Remote-Sensing Image Classification","score":0.9635000228881836,"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":0.8118041157722473},{"id":"https://openalex.org/keywords/convolution","display_name":"Convolution (computer science)","score":0.7287590503692627},{"id":"https://openalex.org/keywords/object-detection","display_name":"Object detection","score":0.5750276446342468},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.5345252156257629},{"id":"https://openalex.org/keywords/object","display_name":"Object (grammar)","score":0.5344272255897522},{"id":"https://openalex.org/keywords/mechanism","display_name":"Mechanism (biology)","score":0.5209987759590149},{"id":"https://openalex.org/keywords/embedding","display_name":"Embedding","score":0.5071444511413574},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.495230108499527},{"id":"https://openalex.org/keywords/field","display_name":"Field (mathematics)","score":0.475364625453949},{"id":"https://openalex.org/keywords/data-set","display_name":"Data set","score":0.4733930826187134},{"id":"https://openalex.org/keywords/channel","display_name":"Channel (broadcasting)","score":0.43439310789108276},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.42646902799606323},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.42009907960891724},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.34132152795791626},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.07440635561943054},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.06616801023483276}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8118041157722473},{"id":"https://openalex.org/C45347329","wikidata":"https://www.wikidata.org/wiki/Q5166604","display_name":"Convolution (computer science)","level":3,"score":0.7287590503692627},{"id":"https://openalex.org/C2776151529","wikidata":"https://www.wikidata.org/wiki/Q3045304","display_name":"Object detection","level":3,"score":0.5750276446342468},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.5345252156257629},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.5344272255897522},{"id":"https://openalex.org/C89611455","wikidata":"https://www.wikidata.org/wiki/Q6804646","display_name":"Mechanism (biology)","level":2,"score":0.5209987759590149},{"id":"https://openalex.org/C41608201","wikidata":"https://www.wikidata.org/wiki/Q980509","display_name":"Embedding","level":2,"score":0.5071444511413574},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.495230108499527},{"id":"https://openalex.org/C9652623","wikidata":"https://www.wikidata.org/wiki/Q190109","display_name":"Field (mathematics)","level":2,"score":0.475364625453949},{"id":"https://openalex.org/C58489278","wikidata":"https://www.wikidata.org/wiki/Q1172284","display_name":"Data set","level":2,"score":0.4733930826187134},{"id":"https://openalex.org/C127162648","wikidata":"https://www.wikidata.org/wiki/Q16858953","display_name":"Channel (broadcasting)","level":2,"score":0.43439310789108276},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.42646902799606323},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.42009907960891724},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.34132152795791626},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.07440635561943054},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.06616801023483276},{"id":"https://openalex.org/C202444582","wikidata":"https://www.wikidata.org/wiki/Q837863","display_name":"Pure mathematics","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/C111472728","wikidata":"https://www.wikidata.org/wiki/Q9471","display_name":"Epistemology","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":1,"locations":[{"id":"doi:10.3233/jifs-211648","is_oa":false,"landing_page_url":"https://doi.org/10.3233/jifs-211648","pdf_url":null,"source":{"id":"https://openalex.org/S179157397","display_name":"Journal of Intelligent & Fuzzy Systems","issn_l":"1064-1246","issn":["1064-1246","1875-8967"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310318577","host_organization_name":"IOS Press","host_organization_lineage":["https://openalex.org/P4310318577"],"host_organization_lineage_names":["IOS Press"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Intelligent & Fuzzy Systems","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":10,"referenced_works":["https://openalex.org/W1923211482","https://openalex.org/W1981276685","https://openalex.org/W2097117768","https://openalex.org/W2163605009","https://openalex.org/W2293078015","https://openalex.org/W2884585870","https://openalex.org/W2951527505","https://openalex.org/W2963351448","https://openalex.org/W3099884890","https://openalex.org/W6682137061"],"related_works":["https://openalex.org/W2081900870","https://openalex.org/W2183306018","https://openalex.org/W2549990292","https://openalex.org/W2345479200","https://openalex.org/W2951819827","https://openalex.org/W2849310602","https://openalex.org/W2419146053","https://openalex.org/W2088247287","https://openalex.org/W3006008237","https://openalex.org/W4292830139"],"abstract_inverted_index":{"In":[0,31],"recent":[1],"years,":[2],"the":[3,47,63,82,88,134,144,152,161,165,173],"research":[4],"on":[5,53,66,70,151,164],"object":[6,15,39],"detection":[7,16,40,119,145,162],"has":[8],"been":[9],"intensified.":[10],"A":[11],"large":[12],"number":[13],"of":[14,49,103,147],"results":[17],"are":[18,101],"applied":[19],"to":[20,86],"our":[21,27],"daily":[22],"life,":[23],"which":[24,100],"greatly":[25],"facilitates":[26],"work":[28],"and":[29,55,78,91,98,106,117,160],"life.":[30],"this":[32,73,109,140,148],"paper,":[33],"we":[34],"propose":[35],"a":[36,123,178],"more":[37],"effective":[38],"neural":[41],"network":[42,125,149],"model":[43,115,126],"ENHANCE_YOLOV4.":[44],"We":[45,121],"studied":[46],"effects":[48],"several":[50],"attention":[51,60,84,105,112,131],"mechanisms":[52],"YOLOV4,":[54],"finally":[56],"concluded":[57],"that":[58,143],"spatial":[59,83,104,111,130],"mechanism":[61,85],"had":[62],"best":[64],"effect":[65],"YOLOV4.":[67,138],"Therefore,":[68],"based":[69],"previous":[71],"studies,":[72],"paper":[74,141],"introduces":[75],"Dilated":[76],"Convolution":[77],"one-by-one":[79],"convolution":[80],"into":[81],"expand":[87],"receptive":[89],"field":[90],"combine":[92],"channel":[93,107],"information.":[94],"Compared":[95],"with":[96],"CBAM":[97],"BAM,":[99],"composed":[102],"attention,":[108],"improved":[110,129],"module":[113,132],"reduces":[114],"parameters":[116],"improves":[118],"capabilities.":[120],"built":[122],"new":[124],"by":[127,158,171],"embedding":[128],"in":[133,137],"appropriate":[135],"place":[136],"And":[139],"proves":[142],"accuracy":[146,163],"structure":[150],"VOC":[153],"data":[154,167],"set":[155,168],"is":[156,169,176],"increased":[157,170,177],"0.8%,":[159],"coco":[166],"7%when":[172],"calculation":[174],"performance":[175],"little.":[179]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":4},{"year":2024,"cited_by_count":4},{"year":2023,"cited_by_count":5},{"year":2022,"cited_by_count":4}],"updated_date":"2026-05-21T06:26:12.895304","created_date":"2025-10-10T00:00:00"}