{"id":"https://openalex.org/W3114362538","doi":"https://doi.org/10.1109/uemcon51285.2020.9298175","title":"Backbone Neural Network Design of Single Shot Detector from RGB-D Images for Object Detection","display_name":"Backbone Neural Network Design of Single Shot Detector from RGB-D Images for Object Detection","publication_year":2020,"publication_date":"2020-10-28","ids":{"openalex":"https://openalex.org/W3114362538","doi":"https://doi.org/10.1109/uemcon51285.2020.9298175","mag":"3114362538"},"language":"en","primary_location":{"id":"doi:10.1109/uemcon51285.2020.9298175","is_oa":false,"landing_page_url":"https://doi.org/10.1109/uemcon51285.2020.9298175","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 11th IEEE Annual Ubiquitous Computing, Electronics &amp; Mobile Communication Conference (UEMCON)","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/A5084554240","display_name":"Purvesh Sharma","orcid":null},"institutions":[{"id":"https://openalex.org/I13511017","display_name":"Texas State University","ror":"https://ror.org/05h9q1g27","country_code":"US","type":"education","lineage":["https://openalex.org/I13511017"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Purvesh Sharma","raw_affiliation_strings":["Ingram School of Engineering, Texas State University, San Marcos, USA"],"affiliations":[{"raw_affiliation_string":"Ingram School of Engineering, Texas State University, San Marcos, USA","institution_ids":["https://openalex.org/I13511017"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5071972698","display_name":"Damian Valles","orcid":"https://orcid.org/0000-0002-5684-9498"},"institutions":[{"id":"https://openalex.org/I13511017","display_name":"Texas State University","ror":"https://ror.org/05h9q1g27","country_code":"US","type":"education","lineage":["https://openalex.org/I13511017"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Damian Valles","raw_affiliation_strings":["Ingram School of Engineering, Texas State University, San Marcos, USA"],"affiliations":[{"raw_affiliation_string":"Ingram School of Engineering, Texas State University, San Marcos, USA","institution_ids":["https://openalex.org/I13511017"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5084554240"],"corresponding_institution_ids":["https://openalex.org/I13511017"],"apc_list":null,"apc_paid":null,"fwci":0.2944,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.58674224,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":95},"biblio":{"volume":null,"issue":null,"first_page":"0112","last_page":"0117"},"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/T12549","display_name":"Image and Object Detection Techniques","score":0.9970999956130981,"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/T11689","display_name":"Adversarial Robustness in Machine Learning","score":0.9951000213623047,"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/single-shot","display_name":"Single shot","score":0.7059960961341858},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6868658065795898},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6791692972183228},{"id":"https://openalex.org/keywords/object-detection","display_name":"Object detection","score":0.6554059982299805},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5992270708084106},{"id":"https://openalex.org/keywords/detector","display_name":"Detector","score":0.5742157101631165},{"id":"https://openalex.org/keywords/rgb-color-model","display_name":"RGB color model","score":0.5317111611366272},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.47248974442481995},{"id":"https://openalex.org/keywords/object","display_name":"Object (grammar)","score":0.4254404306411743},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.36704981327056885},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.10521534085273743},{"id":"https://openalex.org/keywords/optics","display_name":"Optics","score":0.1049986481666565},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.09743231534957886}],"concepts":[{"id":"https://openalex.org/C3019835501","wikidata":"https://www.wikidata.org/wiki/Q1310130","display_name":"Single shot","level":2,"score":0.7059960961341858},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6868658065795898},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6791692972183228},{"id":"https://openalex.org/C2776151529","wikidata":"https://www.wikidata.org/wiki/Q3045304","display_name":"Object detection","level":3,"score":0.6554059982299805},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5992270708084106},{"id":"https://openalex.org/C94915269","wikidata":"https://www.wikidata.org/wiki/Q1834857","display_name":"Detector","level":2,"score":0.5742157101631165},{"id":"https://openalex.org/C82990744","wikidata":"https://www.wikidata.org/wiki/Q166194","display_name":"RGB color model","level":2,"score":0.5317111611366272},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.47248974442481995},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.4254404306411743},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.36704981327056885},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.10521534085273743},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"score":0.1049986481666565},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.09743231534957886}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/uemcon51285.2020.9298175","is_oa":false,"landing_page_url":"https://doi.org/10.1109/uemcon51285.2020.9298175","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 11th IEEE Annual Ubiquitous Computing, Electronics &amp; Mobile Communication Conference (UEMCON)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":15,"referenced_works":["https://openalex.org/W639708223","https://openalex.org/W1536680647","https://openalex.org/W1923184257","https://openalex.org/W2193145675","https://openalex.org/W2613718673","https://openalex.org/W2955472583","https://openalex.org/W2963326767","https://openalex.org/W2963956866","https://openalex.org/W2966480253","https://openalex.org/W3005363112","https://openalex.org/W3011861320","https://openalex.org/W3018105153","https://openalex.org/W3018813456","https://openalex.org/W3105297345","https://openalex.org/W3106250896"],"related_works":["https://openalex.org/W2095705906","https://openalex.org/W2975200075","https://openalex.org/W4320809347","https://openalex.org/W1971759388","https://openalex.org/W2025800131","https://openalex.org/W2129974284","https://openalex.org/W2007544051","https://openalex.org/W2035456249","https://openalex.org/W2004370856","https://openalex.org/W2008001747"],"abstract_inverted_index":{"Recognition":[0],"technology":[1],"has":[2],"gained":[3],"state":[4],"of":[5,11,23,38,81,101,125,137,143],"art":[6],"performance":[7],"with":[8,17,139],"the":[9,21,39,102,140,147],"dawn":[10],"deep":[12],"convolutional":[13],"neural":[14],"network":[15,80],"and":[16,28,53,59,90,96,107,145],"these":[18],"achievements":[19],"in":[20,47,150],"field":[22],"computer":[24],"vision,":[25],"machine":[26],"learning":[27,141],"3D":[29],"sensor,":[30],"industries":[31],"are":[32],"near":[33],"to":[34,61,72,120],"start":[35],"new":[36,116],"era":[37],"automation.":[40],"However,":[41],"object":[42],"detection":[43,110],"for":[44,109,152],"robotic":[45],"grasping":[46],"varying":[48],"environment,":[49],"low":[50],"illumination,":[51],"occlusion":[52],"partial":[54],"images":[55,92],"gives":[56,97],"poor":[57],"accuracy":[58,136,151],"speed":[60],"detect":[62],"object.":[63],"In":[64,112],"this":[65,113],"research,":[66],"a":[67,76,115,122],"multimodal":[68],"architecture":[69,87,117],"is":[70,118],"designed":[71,119],"be":[73],"used":[74,104],"as":[75,93],"base":[77],"network/":[78],"backbone":[79],"Single":[82],"Shot":[83],"Detector":[84],"(SSD).":[85],"This":[86],"uses":[88],"RGB":[89],"Depth":[91],"an":[94,134],"input":[95],"single":[98],"output.":[99],"Most":[100],"researchers":[103],"VGG16/19,":[105],"ResNet":[106],"MobileNet":[108],"purposes.":[111],"paper,":[114],"perform":[121],"specific":[123],"task":[124],"grasping.":[126],"For":[127],"classification":[128],"using":[129],"RGB-D":[130],"architecture,":[131],"it":[132],"achieved":[133],"average":[135],"95%":[138],"rate":[142],"0.0001":[144],"outperforms":[146],"other":[148],"architectures":[149],"limited":[153],"objects.":[154]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2023,"cited_by_count":1},{"year":2021,"cited_by_count":2}],"updated_date":"2026-03-25T13:04:00.132906","created_date":"2025-10-10T00:00:00"}
