{"id":"https://openalex.org/W4389474447","doi":"https://doi.org/10.1109/mmsp59012.2023.10337653","title":"Real-Time Detection of Low-Textured Objects Based on Deep Learning","display_name":"Real-Time Detection of Low-Textured Objects Based on Deep Learning","publication_year":2023,"publication_date":"2023-09-27","ids":{"openalex":"https://openalex.org/W4389474447","doi":"https://doi.org/10.1109/mmsp59012.2023.10337653"},"language":"en","primary_location":{"id":"doi:10.1109/mmsp59012.2023.10337653","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/mmsp59012.2023.10337653","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 IEEE 25th International Workshop on Multimedia Signal Processing (MMSP)","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/A5093446588","display_name":"Salah-Eddine Laidoudi","orcid":"https://orcid.org/0009-0002-5209-9893"},"institutions":[{"id":"https://openalex.org/I4210094080","display_name":"ESME - \u00c9cole d\u2019ing\u00e9nieurs pluridisciplinaires","ror":"https://ror.org/00nf3nv81","country_code":"FR","type":"education","lineage":["https://openalex.org/I4210094080"]},{"id":"https://openalex.org/I4210107733","display_name":"Informatique, Biologie Int\u00e9grative et Syst\u00e8mes Complexes","ror":"https://ror.org/01aqxgr98","country_code":"FR","type":"facility","lineage":["https://openalex.org/I277688954","https://openalex.org/I277688954","https://openalex.org/I4210107733","https://openalex.org/I88467170"]}],"countries":["FR"],"is_corresponding":true,"raw_author_name":"Salah-eddine Laidoudi","raw_affiliation_strings":["Université Paris-Saclay, Univ Evry,IBISC,Evry-Courcouronnes,France,91020","IBISC - Informatique, BioInformatique, Syst\u00e8mes Complexes (40,rue du pelvoux, Courcouronnes 91020 EVRY CEDEX - France)","ESME - ESME - \u00c9cole sp\u00e9ciale de m\u00e9canique et d'\u00e9lectricit\u00e9 (38 Rue Moli\u00e8re, 94200 Ivry-sur-Seine - France)"],"affiliations":[{"raw_affiliation_string":"Université Paris-Saclay, Univ Evry,IBISC,Evry-Courcouronnes,France,91020","institution_ids":["https://openalex.org/I4210107733"]},{"raw_affiliation_string":"IBISC - Informatique, BioInformatique, Syst\u00e8mes Complexes (40,rue du pelvoux, Courcouronnes 91020 EVRY CEDEX - France)","institution_ids":["https://openalex.org/I4210107733"]},{"raw_affiliation_string":"ESME - ESME - \u00c9cole sp\u00e9ciale de m\u00e9canique et d'\u00e9lectricit\u00e9 (38 Rue Moli\u00e8re, 94200 Ivry-sur-Seine - France)","institution_ids":["https://openalex.org/I4210094080"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5046766094","display_name":"Madjid Ma\u00efdi","orcid":"https://orcid.org/0000-0001-7070-006X"},"institutions":[{"id":"https://openalex.org/I4210107733","display_name":"Informatique, Biologie Int\u00e9grative et Syst\u00e8mes Complexes","ror":"https://ror.org/01aqxgr98","country_code":"FR","type":"facility","lineage":["https://openalex.org/I277688954","https://openalex.org/I277688954","https://openalex.org/I4210107733","https://openalex.org/I88467170"]},{"id":"https://openalex.org/I4210094080","display_name":"ESME - \u00c9cole d\u2019ing\u00e9nieurs pluridisciplinaires","ror":"https://ror.org/00nf3nv81","country_code":"FR","type":"education","lineage":["https://openalex.org/I4210094080"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Madjid Maidi","raw_affiliation_strings":["Université Paris-Saclay, Univ Evry,IBISC,Evry-Courcouronnes,France,91020","IBISC - Informatique, BioInformatique, Syst\u00e8mes Complexes (40,rue du pelvoux, Courcouronnes 91020 EVRY CEDEX - France)","ESME - ESME - \u00c9cole sp\u00e9ciale de m\u00e9canique et d'\u00e9lectricit\u00e9 (38 Rue Moli\u00e8re, 94200 Ivry-sur-Seine - France)"],"affiliations":[{"raw_affiliation_string":"Université Paris-Saclay, Univ Evry,IBISC,Evry-Courcouronnes,France,91020","institution_ids":["https://openalex.org/I4210107733"]},{"raw_affiliation_string":"IBISC - Informatique, BioInformatique, Syst\u00e8mes Complexes (40,rue du pelvoux, Courcouronnes 91020 EVRY CEDEX - France)","institution_ids":["https://openalex.org/I4210107733"]},{"raw_affiliation_string":"ESME - ESME - \u00c9cole sp\u00e9ciale de m\u00e9canique et d'\u00e9lectricit\u00e9 (38 Rue Moli\u00e8re, 94200 Ivry-sur-Seine - France)","institution_ids":["https://openalex.org/I4210094080"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5068108127","display_name":"Samir Otmane","orcid":"https://orcid.org/0000-0003-2221-4264"},"institutions":[{"id":"https://openalex.org/I4210107733","display_name":"Informatique, Biologie Int\u00e9grative et Syst\u00e8mes Complexes","ror":"https://ror.org/01aqxgr98","country_code":"FR","type":"facility","lineage":["https://openalex.org/I277688954","https://openalex.org/I277688954","https://openalex.org/I4210107733","https://openalex.org/I88467170"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Samir Otmane","raw_affiliation_strings":["Université Paris-Saclay, Univ Evry,IBISC,Evry-Courcouronnes,France,91020","IBISC - Informatique, BioInformatique, Syst\u00e8mes Complexes (40,rue du pelvoux, Courcouronnes 91020 EVRY CEDEX - France)"],"affiliations":[{"raw_affiliation_string":"Université Paris-Saclay, Univ Evry,IBISC,Evry-Courcouronnes,France,91020","institution_ids":["https://openalex.org/I4210107733"]},{"raw_affiliation_string":"IBISC - Informatique, BioInformatique, Syst\u00e8mes Complexes (40,rue du pelvoux, Courcouronnes 91020 EVRY CEDEX - France)","institution_ids":["https://openalex.org/I4210107733"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5093446588"],"corresponding_institution_ids":["https://openalex.org/I4210094080","https://openalex.org/I4210107733"],"apc_list":null,"apc_paid":null,"fwci":0.123,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.44517053,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":95},"biblio":{"volume":null,"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":0.9995999932289124,"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":0.9995999932289124,"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":0.9979000091552734,"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/T14319","display_name":"Currency Recognition and Detection","score":0.9905999898910522,"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/python","display_name":"Python (programming language)","score":0.8488541841506958},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8148969411849976},{"id":"https://openalex.org/keywords/detector","display_name":"Detector","score":0.7228521108627319},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6371520757675171},{"id":"https://openalex.org/keywords/mobile-device","display_name":"Mobile device","score":0.605133593082428},{"id":"https://openalex.org/keywords/object-detection","display_name":"Object detection","score":0.5857307314872742},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.5744269490242004},{"id":"https://openalex.org/keywords/augmented-reality","display_name":"Augmented reality","score":0.5423461198806763},{"id":"https://openalex.org/keywords/training-set","display_name":"Training set","score":0.5386338829994202},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.5127618908882141},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.4681316614151001},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.44807201623916626},{"id":"https://openalex.org/keywords/single-shot","display_name":"Single shot","score":0.43287140130996704},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.33884158730506897},{"id":"https://openalex.org/keywords/computer-graphics","display_name":"Computer graphics (images)","score":0.33027184009552},{"id":"https://openalex.org/keywords/operating-system","display_name":"Operating system","score":0.08821254968643188}],"concepts":[{"id":"https://openalex.org/C519991488","wikidata":"https://www.wikidata.org/wiki/Q28865","display_name":"Python (programming language)","level":2,"score":0.8488541841506958},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8148969411849976},{"id":"https://openalex.org/C94915269","wikidata":"https://www.wikidata.org/wiki/Q1834857","display_name":"Detector","level":2,"score":0.7228521108627319},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6371520757675171},{"id":"https://openalex.org/C186967261","wikidata":"https://www.wikidata.org/wiki/Q5082128","display_name":"Mobile device","level":2,"score":0.605133593082428},{"id":"https://openalex.org/C2776151529","wikidata":"https://www.wikidata.org/wiki/Q3045304","display_name":"Object detection","level":3,"score":0.5857307314872742},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.5744269490242004},{"id":"https://openalex.org/C153715457","wikidata":"https://www.wikidata.org/wiki/Q254183","display_name":"Augmented reality","level":2,"score":0.5423461198806763},{"id":"https://openalex.org/C51632099","wikidata":"https://www.wikidata.org/wiki/Q3985153","display_name":"Training set","level":2,"score":0.5386338829994202},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.5127618908882141},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.4681316614151001},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.44807201623916626},{"id":"https://openalex.org/C3019835501","wikidata":"https://www.wikidata.org/wiki/Q1310130","display_name":"Single shot","level":2,"score":0.43287140130996704},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.33884158730506897},{"id":"https://openalex.org/C121684516","wikidata":"https://www.wikidata.org/wiki/Q7600677","display_name":"Computer graphics (images)","level":1,"score":0.33027184009552},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.08821254968643188},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"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/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"score":0.0},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/mmsp59012.2023.10337653","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/mmsp59012.2023.10337653","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 IEEE 25th International Workshop on Multimedia Signal Processing (MMSP)","raw_type":"proceedings-article"},{"id":"pmh:oai:HAL:hal-04396248v1","is_oa":false,"landing_page_url":"https://hal.science/hal-04396248","pdf_url":null,"source":{"id":"https://openalex.org/S4406922461","display_name":"SPIRE - Sciences Po Institutional REpository","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":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"25th IEEE International Workshop on Multimedia Signal Processing (MMSP 2023), Sep 2023, Poitiers, France. pp.1-6, ⟨10.1109/MMSP59012.2023.10337653⟩","raw_type":"Conference papers"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.44999998807907104,"id":"https://metadata.un.org/sdg/4","display_name":"Quality Education"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":17,"referenced_works":["https://openalex.org/W639708223","https://openalex.org/W1536680647","https://openalex.org/W2102605133","https://openalex.org/W2161969291","https://openalex.org/W2164598857","https://openalex.org/W2193145675","https://openalex.org/W2252355370","https://openalex.org/W2417429787","https://openalex.org/W2565639579","https://openalex.org/W2603203130","https://openalex.org/W2963037989","https://openalex.org/W2963912358","https://openalex.org/W2990230185","https://openalex.org/W3104218139","https://openalex.org/W3106250896","https://openalex.org/W3196822225","https://openalex.org/W4288083516"],"related_works":["https://openalex.org/W2172197285","https://openalex.org/W2991048842","https://openalex.org/W2750280393","https://openalex.org/W2355696739","https://openalex.org/W2341492732","https://openalex.org/W3187193180","https://openalex.org/W3158001554","https://openalex.org/W2771909920","https://openalex.org/W106542691","https://openalex.org/W1699080303"],"abstract_inverted_index":{"In":[0],"this":[1,44],"paper,":[2],"a":[3,35,61],"custom":[4,74],"Single":[5],"Shot":[6],"Multi-box":[7],"Detector":[8],"(SSD)":[9],"[1]":[10,65,84],"is":[11,32,46,76,92,103],"proposed":[12],"for":[13,54,116],"object":[14],"detection":[15],"on":[16,51,96,114],"difficult":[17],"scenes.":[18],"The":[19,41,73,101],"fruit":[20],"360":[21],"dataset":[22],"[2],":[23],"with":[24],"low-textured":[25],"images":[26],"of":[27,43],"different":[28],"fruits":[29],"and":[30,37,56,86,109],"vegetables,":[31],"used":[33],"as":[34],"training":[36],"validation":[38],"data":[39,99],"set.":[40,100],"purpose":[42],"research":[45],"to":[47],"implement":[48],"the":[49,81,87,97],"detector":[50],"mobile":[52],"devices":[53],"mixed":[55],"augmented":[57],"reality":[58],"experiences,":[59],"so":[60],"lighter":[62],"weight":[63],"SSD":[64,83],"model":[66,75,85,102],"was":[67],"designed":[68],"while":[69],"retaining":[70],"its":[71],"performance.":[72],"4":[77],"times":[78],"faster":[79],"than":[80],"original":[82],"tests":[88],"showed":[89],"that":[90],"it":[91],"even":[93],"more":[94],"accurate":[95],"designated":[98],"implemented":[104],"in":[105],"Python":[106],"using":[107],"Tensorflow":[108],"will":[110],"soon":[111],"be":[112],"available":[113],"GitHub":[115],"public":[117],"use.":[118]},"counts_by_year":[{"year":2025,"cited_by_count":1}],"updated_date":"2025-12-22T23:10:17.713674","created_date":"2025-10-10T00:00:00"}