{"id":"https://openalex.org/W4313307239","doi":"https://doi.org/10.1109/nana56854.2022.00077","title":"Object detection algorithm based on cosine similarity IoU","display_name":"Object detection algorithm based on cosine similarity IoU","publication_year":2022,"publication_date":"2022-12-01","ids":{"openalex":"https://openalex.org/W4313307239","doi":"https://doi.org/10.1109/nana56854.2022.00077"},"language":"en","primary_location":{"id":"doi:10.1109/nana56854.2022.00077","is_oa":false,"landing_page_url":"https://doi.org/10.1109/nana56854.2022.00077","pdf_url":null,"source":{"id":"https://openalex.org/S4363608588","display_name":"2022 International Conference on Networking and Network Applications (NaNA)","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":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 International Conference on Networking and Network Applications (NaNA)","raw_type":"proceedings-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/A5101351569","display_name":"Sugang Ma","orcid":"https://orcid.org/0000-0001-7988-5099"},"institutions":[{"id":"https://openalex.org/I4210136859","display_name":"Xi\u2019an University of Posts and Telecommunications","ror":"https://ror.org/04jn0td46","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210136859"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Ma Sugang","raw_affiliation_strings":["School of Computer Science and Technology, Xi&#x0027;an University of Posts and Telecommunications,Xi&#x0027;an,Shaanxi,China"],"affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology, Xi&#x0027;an University of Posts and Telecommunications,Xi&#x0027;an,Shaanxi,China","institution_ids":["https://openalex.org/I4210136859"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100608160","display_name":"Ningbo Li","orcid":"https://orcid.org/0000-0002-9832-2483"},"institutions":[{"id":"https://openalex.org/I4210136859","display_name":"Xi\u2019an University of Posts and Telecommunications","ror":"https://ror.org/04jn0td46","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210136859"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Li Ningbo","raw_affiliation_strings":["School of Computer Science and Technology, Xi&#x0027;an University of Posts and Telecommunications,Xi&#x0027;an,Shaanxi,China"],"affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology, Xi&#x0027;an University of Posts and Telecommunications,Xi&#x0027;an,Shaanxi,China","institution_ids":["https://openalex.org/I4210136859"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5074358744","display_name":"Peng Guansheng","orcid":null},"institutions":[{"id":"https://openalex.org/I149594827","display_name":"Xidian University","ror":"https://ror.org/05s92vm98","country_code":"CN","type":"education","lineage":["https://openalex.org/I149594827"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Peng Guansheng","raw_affiliation_strings":["School of Computer Science and Technology, XIDIAN University,Xi&#x0027;an,Shaanxi,China"],"affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology, XIDIAN University,Xi&#x0027;an,Shaanxi,China","institution_ids":["https://openalex.org/I149594827"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100419627","display_name":"Yanping Chen","orcid":"https://orcid.org/0000-0001-6548-6070"},"institutions":[{"id":"https://openalex.org/I4210136859","display_name":"Xi\u2019an University of Posts and Telecommunications","ror":"https://ror.org/04jn0td46","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210136859"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chen Yanping","raw_affiliation_strings":["Xi&#x0027;an University of Posts and Telecommunications,Xi&#x0027;an Key Laboratory of Big Data and Intelligent Computing,Xi&#x0027;an,Shaanxi,China"],"affiliations":[{"raw_affiliation_string":"Xi&#x0027;an University of Posts and Telecommunications,Xi&#x0027;an Key Laboratory of Big Data and Intelligent Computing,Xi&#x0027;an,Shaanxi,China","institution_ids":["https://openalex.org/I4210136859"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5103265804","display_name":"Ying Wang","orcid":"https://orcid.org/0000-0002-9845-737X"},"institutions":[{"id":"https://openalex.org/I4210136859","display_name":"Xi\u2019an University of Posts and Telecommunications","ror":"https://ror.org/04jn0td46","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210136859"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wang Ying","raw_affiliation_strings":["School of Computer Science and Technology, Xi&#x0027;an University of Posts and Telecommunications,Xi&#x0027;an,Shaanxi,China"],"affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology, Xi&#x0027;an University of Posts and Telecommunications,Xi&#x0027;an,Shaanxi,China","institution_ids":["https://openalex.org/I4210136859"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5053618028","display_name":"Zhiqiang Hou","orcid":"https://orcid.org/0000-0002-8059-5395"},"institutions":[{"id":"https://openalex.org/I4210136859","display_name":"Xi\u2019an University of Posts and Telecommunications","ror":"https://ror.org/04jn0td46","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210136859"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hou Zhiqiang","raw_affiliation_strings":["School of Computer Science and Technology, Xi&#x0027;an University of Posts and Telecommunications,Xi&#x0027;an,Shaanxi,China"],"affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology, Xi&#x0027;an University of Posts and Telecommunications,Xi&#x0027;an,Shaanxi,China","institution_ids":["https://openalex.org/I4210136859"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5101351569"],"corresponding_institution_ids":["https://openalex.org/I4210136859"],"apc_list":null,"apc_paid":null,"fwci":0.1798,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.54028233,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":"57","issue":null,"first_page":"1","last_page":"6"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10036","display_name":"Advanced Neural Network Applications","score":0.9952999949455261,"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":0.9952999949455261,"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/T10331","display_name":"Video Surveillance and Tracking Methods","score":0.980400025844574,"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/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.9624000191688538,"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/cosine-similarity","display_name":"Cosine similarity","score":0.8109118342399597},{"id":"https://openalex.org/keywords/pascal","display_name":"Pascal (unit)","score":0.8060826063156128},{"id":"https://openalex.org/keywords/similarity","display_name":"Similarity (geometry)","score":0.6554267406463623},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6520460844039917},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.6092551350593567},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.5780653357505798},{"id":"https://openalex.org/keywords/trigonometric-functions","display_name":"Trigonometric functions","score":0.5710028409957886},{"id":"https://openalex.org/keywords/object-detection","display_name":"Object detection","score":0.5637537240982056},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5226500034332275},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.45152464509010315},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.2415323555469513},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.15076273679733276}],"concepts":[{"id":"https://openalex.org/C2780762811","wikidata":"https://www.wikidata.org/wiki/Q1784941","display_name":"Cosine similarity","level":3,"score":0.8109118342399597},{"id":"https://openalex.org/C75608658","wikidata":"https://www.wikidata.org/wiki/Q44395","display_name":"Pascal (unit)","level":2,"score":0.8060826063156128},{"id":"https://openalex.org/C103278499","wikidata":"https://www.wikidata.org/wiki/Q254465","display_name":"Similarity (geometry)","level":3,"score":0.6554267406463623},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6520460844039917},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.6092551350593567},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.5780653357505798},{"id":"https://openalex.org/C178009071","wikidata":"https://www.wikidata.org/wiki/Q93344","display_name":"Trigonometric functions","level":2,"score":0.5710028409957886},{"id":"https://openalex.org/C2776151529","wikidata":"https://www.wikidata.org/wiki/Q3045304","display_name":"Object detection","level":3,"score":0.5637537240982056},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5226500034332275},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.45152464509010315},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.2415323555469513},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.15076273679733276},{"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/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.0},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/nana56854.2022.00077","is_oa":false,"landing_page_url":"https://doi.org/10.1109/nana56854.2022.00077","pdf_url":null,"source":{"id":"https://openalex.org/S4363608588","display_name":"2022 International Conference on Networking and Network Applications (NaNA)","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":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 International Conference on Networking and Network Applications (NaNA)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G7278610433","display_name":null,"funder_award_id":"17JK0710","funder_id":"https://openalex.org/F4320325627","funder_display_name":"Education Department of Shaanxi Province"},{"id":"https://openalex.org/G7321364064","display_name":null,"funder_award_id":"62072370","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/F4320325627","display_name":"Education Department of Shaanxi Province","ror":null}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":31,"referenced_works":["https://openalex.org/W639708223","https://openalex.org/W1536680647","https://openalex.org/W2036989445","https://openalex.org/W2102605133","https://openalex.org/W2144506857","https://openalex.org/W2151103935","https://openalex.org/W2161969291","https://openalex.org/W2193145675","https://openalex.org/W2560311620","https://openalex.org/W2579985080","https://openalex.org/W2786995169","https://openalex.org/W2884585870","https://openalex.org/W2891127200","https://openalex.org/W2962766617","https://openalex.org/W2963037989","https://openalex.org/W2963351448","https://openalex.org/W2963727135","https://openalex.org/W2963927307","https://openalex.org/W2997747012","https://openalex.org/W3100921056","https://openalex.org/W3106250896","https://openalex.org/W4212774754","https://openalex.org/W4293584584","https://openalex.org/W4320002812","https://openalex.org/W4403242330","https://openalex.org/W6714138976","https://openalex.org/W6732243160","https://openalex.org/W6739901393","https://openalex.org/W6750227808","https://openalex.org/W6760424586","https://openalex.org/W6872408847"],"related_works":["https://openalex.org/W2389818373","https://openalex.org/W126212742","https://openalex.org/W3177249605","https://openalex.org/W4376620596","https://openalex.org/W2534152068","https://openalex.org/W4299545679","https://openalex.org/W1972515067","https://openalex.org/W1689909837","https://openalex.org/W4293054914","https://openalex.org/W2549121492"],"abstract_inverted_index":{"Aiming":[0],"at":[1],"the":[2,5,34,39,43,49,54,77,85,89,100],"problem":[3],"that":[4],"traditional":[6],"IoU-NMS":[7],"algorithm":[8,24],"has":[9],"poor":[10],"filtering":[11],"of":[12,88],"redundant":[13,60],"boxes":[14,45,61],"with":[15,62],"high":[16,63],"confidence":[17,64],"scores":[18,65],"in":[19],"RetinaNet,":[20],"an":[21],"object":[22],"detection":[23,44,70,86],"based":[25],"on":[26,33],"cosine":[27,40],"similarity":[28,41,55],"IoU":[29,36],"is":[30,46,74,96],"proposed.":[31],"Based":[32],"original":[35],"calculation":[37],"method,":[38],"between":[42,56],"calculated":[47],"by":[48],"vector":[50],"to":[51,76,80],"better":[52],"evaluate":[53],"them,":[57],"which":[58,95],"removes":[59],"and":[66],"retain":[67],"more":[68],"accurate":[69],"boxes.":[71],"Meanwhile,":[72],"CBAM":[73],"added":[75],"ResNet-50":[78],"network":[79],"extract":[81],"richer":[82],"semantic":[83],"information.":[84],"accuracy":[87],"PASCAL":[90],"VOC":[91],"dataset":[92],"reaches":[93],"80.6%,":[94],"2.1%":[97],"higher":[98],"than":[99],"benchmark":[101],"algorithm.":[102]},"counts_by_year":[{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
