{"id":"https://openalex.org/W2979723353","doi":"https://doi.org/10.1109/access.2019.2945834","title":"Improvement of Non-Maximum Suppression in RGB-D Object Detection","display_name":"Improvement of Non-Maximum Suppression in RGB-D Object Detection","publication_year":2019,"publication_date":"2019-01-01","ids":{"openalex":"https://openalex.org/W2979723353","doi":"https://doi.org/10.1109/access.2019.2945834","mag":"2979723353"},"language":"en","primary_location":{"id":"doi:10.1109/access.2019.2945834","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2019.2945834","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/8600701/08863938.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://ieeexplore.ieee.org/ielx7/6287639/8600701/08863938.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5101876543","display_name":"Decheng Wang","orcid":"https://orcid.org/0000-0003-4424-1589"},"institutions":[{"id":"https://openalex.org/I4210148107","display_name":"Space Engineering University","ror":"https://ror.org/04rj1td02","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210148107"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Decheng Wang","raw_affiliation_strings":["Academic of Space Information, University of Space Engineering, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0003-4424-1589","affiliations":[{"raw_affiliation_string":"Academic of Space Information, University of Space Engineering, Beijing, China","institution_ids":["https://openalex.org/I4210148107"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101698841","display_name":"Xiangning Chen","orcid":"https://orcid.org/0000-0002-3946-1117"},"institutions":[{"id":"https://openalex.org/I4210148107","display_name":"Space Engineering University","ror":"https://ror.org/04rj1td02","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210148107"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiangning Chen","raw_affiliation_strings":["Academic of Space Information, University of Space Engineering, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Academic of Space Information, University of Space Engineering, Beijing, China","institution_ids":["https://openalex.org/I4210148107"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102794918","display_name":"Hui Yi","orcid":"https://orcid.org/0000-0003-0501-0972"},"institutions":[{"id":"https://openalex.org/I4210148107","display_name":"Space Engineering University","ror":"https://ror.org/04rj1td02","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210148107"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hui Yi","raw_affiliation_strings":["Academic of Space Information, University of Space Engineering, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Academic of Space Information, University of Space Engineering, Beijing, China","institution_ids":["https://openalex.org/I4210148107"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100401202","display_name":"Feng Zhao","orcid":"https://orcid.org/0000-0001-6767-8105"},"institutions":[{"id":"https://openalex.org/I4210148107","display_name":"Space Engineering University","ror":"https://ror.org/04rj1td02","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210148107"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Feng Zhao","raw_affiliation_strings":["Academic of Space Information, University of Space Engineering, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Academic of Space Information, University of Space Engineering, Beijing, China","institution_ids":["https://openalex.org/I4210148107"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I4210148107"],"apc_list":{"value":1850,"currency":"USD","value_usd":1850},"apc_paid":{"value":1850,"currency":"USD","value_usd":1850},"fwci":0.5955,"has_fulltext":true,"cited_by_count":17,"citation_normalized_percentile":{"value":0.72386774,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":99},"biblio":{"volume":"7","issue":null,"first_page":"144134","last_page":"144143"},"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/T11605","display_name":"Visual Attention and Saliency Detection","score":0.9975000023841858,"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/T12111","display_name":"Industrial Vision Systems and Defect Detection","score":0.9961000084877014,"subfield":{"id":"https://openalex.org/subfields/2209","display_name":"Industrial and Manufacturing Engineering"},"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/object-detection","display_name":"Object detection","score":0.7242964506149292},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6789571046829224},{"id":"https://openalex.org/keywords/rgb-color-model","display_name":"RGB color model","score":0.6615080833435059},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6459223031997681},{"id":"https://openalex.org/keywords/object","display_name":"Object (grammar)","score":0.5844544172286987},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5466074347496033},{"id":"https://openalex.org/keywords/constraint","display_name":"Constraint (computer-aided design)","score":0.528348982334137},{"id":"https://openalex.org/keywords/pixel","display_name":"Pixel","score":0.5244251489639282},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.49067986011505127},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.2645720839500427}],"concepts":[{"id":"https://openalex.org/C2776151529","wikidata":"https://www.wikidata.org/wiki/Q3045304","display_name":"Object detection","level":3,"score":0.7242964506149292},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6789571046829224},{"id":"https://openalex.org/C82990744","wikidata":"https://www.wikidata.org/wiki/Q166194","display_name":"RGB color model","level":2,"score":0.6615080833435059},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6459223031997681},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.5844544172286987},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5466074347496033},{"id":"https://openalex.org/C2776036281","wikidata":"https://www.wikidata.org/wiki/Q48769818","display_name":"Constraint (computer-aided design)","level":2,"score":0.528348982334137},{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.5244251489639282},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.49067986011505127},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.2645720839500427},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/access.2019.2945834","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2019.2945834","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/8600701/08863938.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:5dc9e8b87c2e422aabfc099d9610bd2b","is_oa":true,"landing_page_url":"https://doaj.org/article/5dc9e8b87c2e422aabfc099d9610bd2b","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":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"IEEE Access, Vol 7, Pp 144134-144143 (2019)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1109/access.2019.2945834","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2019.2945834","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/8600701/08863938.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"sustainable_development_goals":[{"score":0.550000011920929,"display_name":"No poverty","id":"https://metadata.un.org/sdg/1"}],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2979723353.pdf","grobid_xml":"https://content.openalex.org/works/W2979723353.grobid-xml"},"referenced_works_count":24,"referenced_works":["https://openalex.org/W125693051","https://openalex.org/W639708223","https://openalex.org/W2144506857","https://openalex.org/W2577537809","https://openalex.org/W2587989515","https://openalex.org/W2615011300","https://openalex.org/W2625829240","https://openalex.org/W2739974641","https://openalex.org/W2775738386","https://openalex.org/W2891752445","https://openalex.org/W2899185128","https://openalex.org/W2944541151","https://openalex.org/W2963446712","https://openalex.org/W2963901718","https://openalex.org/W2964121718","https://openalex.org/W3106250896","https://openalex.org/W4293584584","https://openalex.org/W4299314646","https://openalex.org/W6620707391","https://openalex.org/W6703264295","https://openalex.org/W6733387591","https://openalex.org/W6750227808","https://openalex.org/W6754372794","https://openalex.org/W6785652829"],"related_works":["https://openalex.org/W4285411112","https://openalex.org/W2085033728","https://openalex.org/W2171299904","https://openalex.org/W4390494008","https://openalex.org/W2922442631","https://openalex.org/W2053596378","https://openalex.org/W2168523118","https://openalex.org/W2073639911","https://openalex.org/W2043988397","https://openalex.org/W4292830139"],"abstract_inverted_index":{"Currently,":[0],"the":[1,12,19,33,39,42,53,67,77,94,97,100,110,119,123,127,137,143,160,167,173,191],"non-maximum":[2,154],"suppression":[3],"(NMS)":[4],"algorithm":[5,21,87,177],"is":[6,104,109,130,140,182],"a":[7,133,149,216],"commonly":[8],"used":[9],"method":[10,205],"in":[11,46,52,99,113,126,179],"post-processing":[13],"stage":[14],"of":[15,32,41,96,122,172,190],"object":[16,28,50,61,98,108,112,218],"detection.":[17],"However,":[18],"NMS":[20,55,86,176],"cannot":[22],"effectively":[23],"eliminate":[24],"missing":[25],"and":[26,71,79,118,185,195,202],"false":[27],"detection":[29,44,62,101,116,128,144],"results":[30,158],"because":[31],"simple":[34],"constraint":[35,151],"condition.":[36],"To":[37],"solve":[38],"problem":[40],"poor":[43],"effect":[45],"highly":[47,114],"overlapping":[48,115,211],"dense":[49],"scenes":[51],"traditional":[54],"algorithm,":[56],"we":[57,82],"design":[58],"an":[59,84],"RGB-D":[60],"network":[63],"model":[64],"based":[65],"on":[66,76,159],"YOLO":[68],"v3":[69],"framework,":[70],"using":[72],"level-by-level":[73],"metaphase":[74],"fusion":[75],"RGB":[78],"depth":[80,90,95,121],"information,":[81],"propose":[83],"improved":[85],"which":[88],"fuses":[89],"characteristics.":[91],"According":[92],"to":[93,142,147],"boxes,":[102,117],"it":[103],"determined":[105],"whether":[106],"another":[107],"same":[111],"average":[120,169],"internal":[124],"pixels":[125],"boxes":[129],"calculated":[131],"as":[132],"penalty":[134,138],"term,":[135],"then":[136],"term":[139],"added":[141],"box":[145],"score":[146],"obtain":[148],"new":[150],"condition":[152],"for":[153],"suppression.":[155],"The":[156],"experimental":[157],"NYU":[161],"Depth":[162,174],"V2":[163],"dataset":[164],"show":[165],"that":[166],"mean":[168],"precision":[170],"(mAP)":[171],"Fusion":[175],"proposed":[178],"this":[180],"paper":[181],"0.8%,":[183],"0.5%":[184],"0.3%":[186],"higher":[187],"than":[188],"those":[189],"Greedy-NMS,":[192],"Soft":[193,196],"NMS-L":[194],"NMS-G":[197],"methods,":[198],"respectively.":[199],"After":[200],"comparison":[201],"analysis,":[203],"our":[204],"can":[206],"not":[207],"only":[208],"detect":[209],"more":[210],"objects":[212],"but":[213],"also":[214],"achieve":[215],"better":[217],"localization":[219],"accuracy.":[220]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":6},{"year":2024,"cited_by_count":3},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":3},{"year":2021,"cited_by_count":3}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}