{"id":"https://openalex.org/W4404959057","doi":"https://doi.org/10.3390/info15120761","title":"Clustering Visual Similar Objects for Enhanced Synthetic Image Data for Object Detection","display_name":"Clustering Visual Similar Objects for Enhanced Synthetic Image Data for Object Detection","publication_year":2024,"publication_date":"2024-12-01","ids":{"openalex":"https://openalex.org/W4404959057","doi":"https://doi.org/10.3390/info15120761"},"language":"en","primary_location":{"id":"doi:10.3390/info15120761","is_oa":true,"landing_page_url":"https://doi.org/10.3390/info15120761","pdf_url":"https://www.mdpi.com/2078-2489/15/12/761/pdf?version=1733042876","source":{"id":"https://openalex.org/S4210219776","display_name":"Information","issn_l":"2078-2489","issn":["2078-2489"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Information","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.mdpi.com/2078-2489/15/12/761/pdf?version=1733042876","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5012990809","display_name":"Julian Rolf","orcid":"https://orcid.org/0000-0002-3215-9265"},"institutions":[{"id":"https://openalex.org/I904495901","display_name":"Ruhr University Bochum","ror":"https://ror.org/04tsk2644","country_code":"DE","type":"education","lineage":["https://openalex.org/I904495901"]}],"countries":["DE"],"is_corresponding":true,"raw_author_name":"Julian Rolf","raw_affiliation_strings":["Digital Engineering Chair, Ruhr University Bochum, Universit\u00e4tsstra\u00dfe 150, 44780 Bochum, Germany"],"raw_orcid":"https://orcid.org/0000-0002-3215-9265","affiliations":[{"raw_affiliation_string":"Digital Engineering Chair, Ruhr University Bochum, Universit\u00e4tsstra\u00dfe 150, 44780 Bochum, Germany","institution_ids":["https://openalex.org/I904495901"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5073109725","display_name":"Detlef Gerhard","orcid":"https://orcid.org/0000-0002-3266-7526"},"institutions":[{"id":"https://openalex.org/I904495901","display_name":"Ruhr University Bochum","ror":"https://ror.org/04tsk2644","country_code":"DE","type":"education","lineage":["https://openalex.org/I904495901"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Detlef Gerhard","raw_affiliation_strings":["Digital Engineering Chair, Ruhr University Bochum, Universit\u00e4tsstra\u00dfe 150, 44780 Bochum, Germany"],"raw_orcid":"https://orcid.org/0000-0002-3266-7526","affiliations":[{"raw_affiliation_string":"Digital Engineering Chair, Ruhr University Bochum, Universit\u00e4tsstra\u00dfe 150, 44780 Bochum, Germany","institution_ids":["https://openalex.org/I904495901"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5106775684","display_name":"Pero Kosic","orcid":null},"institutions":[{"id":"https://openalex.org/I904495901","display_name":"Ruhr University Bochum","ror":"https://ror.org/04tsk2644","country_code":"DE","type":"education","lineage":["https://openalex.org/I904495901"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Pero Kosic","raw_affiliation_strings":["Digital Engineering Chair, Ruhr University Bochum, Universit\u00e4tsstra\u00dfe 150, 44780 Bochum, Germany"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Digital Engineering Chair, Ruhr University Bochum, Universit\u00e4tsstra\u00dfe 150, 44780 Bochum, Germany","institution_ids":["https://openalex.org/I904495901"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5012990809"],"corresponding_institution_ids":["https://openalex.org/I904495901"],"apc_list":{"value":1600,"currency":"CHF","value_usd":1782},"apc_paid":{"value":1600,"currency":"CHF","value_usd":1782},"fwci":0.1643,"has_fulltext":true,"cited_by_count":1,"citation_normalized_percentile":{"value":0.4612255,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":95},"biblio":{"volume":"15","issue":"12","first_page":"761","last_page":"761"},"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":0.9994999766349792,"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":0.998199999332428,"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/cluster-analysis","display_name":"Cluster analysis","score":0.7656558156013489},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7508126497268677},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7044048309326172},{"id":"https://openalex.org/keywords/object","display_name":"Object (grammar)","score":0.694229781627655},{"id":"https://openalex.org/keywords/object-detection","display_name":"Object detection","score":0.64253169298172},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5644665956497192},{"id":"https://openalex.org/keywords/similarity","display_name":"Similarity (geometry)","score":0.5296680331230164},{"id":"https://openalex.org/keywords/synthetic-data","display_name":"Synthetic data","score":0.4883882403373718},{"id":"https://openalex.org/keywords/detector","display_name":"Detector","score":0.4804208278656006},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.46461713314056396},{"id":"https://openalex.org/keywords/scheme","display_name":"Scheme (mathematics)","score":0.44400250911712646},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.44017666578292847},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.11044713854789734}],"concepts":[{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.7656558156013489},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7508126497268677},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7044048309326172},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.694229781627655},{"id":"https://openalex.org/C2776151529","wikidata":"https://www.wikidata.org/wiki/Q3045304","display_name":"Object detection","level":3,"score":0.64253169298172},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5644665956497192},{"id":"https://openalex.org/C103278499","wikidata":"https://www.wikidata.org/wiki/Q254465","display_name":"Similarity (geometry)","level":3,"score":0.5296680331230164},{"id":"https://openalex.org/C160920958","wikidata":"https://www.wikidata.org/wiki/Q7662746","display_name":"Synthetic data","level":2,"score":0.4883882403373718},{"id":"https://openalex.org/C94915269","wikidata":"https://www.wikidata.org/wiki/Q1834857","display_name":"Detector","level":2,"score":0.4804208278656006},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.46461713314056396},{"id":"https://openalex.org/C77618280","wikidata":"https://www.wikidata.org/wiki/Q1155772","display_name":"Scheme (mathematics)","level":2,"score":0.44400250911712646},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.44017666578292847},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.11044713854789734},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.3390/info15120761","is_oa":true,"landing_page_url":"https://doi.org/10.3390/info15120761","pdf_url":"https://www.mdpi.com/2078-2489/15/12/761/pdf?version=1733042876","source":{"id":"https://openalex.org/S4210219776","display_name":"Information","issn_l":"2078-2489","issn":["2078-2489"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Information","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:ba4694196fe14a518594176485eef770","is_oa":true,"landing_page_url":"https://doaj.org/article/ba4694196fe14a518594176485eef770","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":"Information, Vol 15, Iss 12, p 761 (2024)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.3390/info15120761","is_oa":true,"landing_page_url":"https://doi.org/10.3390/info15120761","pdf_url":"https://www.mdpi.com/2078-2489/15/12/761/pdf?version=1733042876","source":{"id":"https://openalex.org/S4210219776","display_name":"Information","issn_l":"2078-2489","issn":["2078-2489"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Information","raw_type":"journal-article"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/9","score":0.5099999904632568,"display_name":"Industry, innovation and infrastructure"}],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4404959057.pdf","grobid_xml":"https://content.openalex.org/works/W4404959057.grobid-xml"},"referenced_works_count":40,"referenced_works":["https://openalex.org/W2100799972","https://openalex.org/W2133245851","https://openalex.org/W2187089797","https://openalex.org/W2340448432","https://openalex.org/W2570343428","https://openalex.org/W2803716633","https://openalex.org/W2902652978","https://openalex.org/W2941568946","https://openalex.org/W2967595425","https://openalex.org/W2972931660","https://openalex.org/W3011453732","https://openalex.org/W3096609285","https://openalex.org/W3099947708","https://openalex.org/W3135367836","https://openalex.org/W3160923251","https://openalex.org/W3202449648","https://openalex.org/W4200564140","https://openalex.org/W4206904603","https://openalex.org/W4226304767","https://openalex.org/W4283583641","https://openalex.org/W4283714674","https://openalex.org/W4285189724","https://openalex.org/W4304014690","https://openalex.org/W4312331673","https://openalex.org/W4312339971","https://openalex.org/W4312581537","https://openalex.org/W4316661403","https://openalex.org/W4382059335","https://openalex.org/W4387402974","https://openalex.org/W4390190260","https://openalex.org/W4390874575","https://openalex.org/W4400094396","https://openalex.org/W4402716047","https://openalex.org/W6631637103","https://openalex.org/W6674226932","https://openalex.org/W6685380521","https://openalex.org/W6704071688","https://openalex.org/W6805461888","https://openalex.org/W6847671189","https://openalex.org/W6857440174"],"related_works":["https://openalex.org/W4298130764","https://openalex.org/W2804364458","https://openalex.org/W1975289146","https://openalex.org/W2132641928","https://openalex.org/W4310225030","https://openalex.org/W2090259340","https://openalex.org/W1926736923","https://openalex.org/W2158836806","https://openalex.org/W2393816671","https://openalex.org/W2105887828"],"abstract_inverted_index":{"Object":[0],"detection":[1],"often":[2],"struggles":[3],"with":[4,42],"accurately":[5],"identifying":[6],"visually":[7,83],"similar":[8,84],"parts,":[9],"a":[10,23,61,74,98,101],"challenge":[11],"commonly":[12],"faced":[13],"in":[14,64],"industrial":[15],"applications.":[16],"To":[17],"address":[18],"this":[19,54],"issue,":[20],"we":[21,57],"propose":[22],"clustering":[24],"methodology":[25],"based":[26],"on":[27,50,67,73,82,88],"the":[28,92],"visual":[29],"similarity":[30],"of":[31,94],"3D":[32,51],"object":[33,70,80],"models.":[34,52],"This":[35],"approach":[36],"is":[37],"particularly":[38],"effective":[39],"when":[40,77],"integrated":[41],"synthetic":[43],"image":[44],"generation,":[45],"as":[46,97],"both":[47],"processes":[48],"rely":[49],"In":[53],"case":[55],"study,":[56],"observed":[58],"more":[59],"than":[60,87],"20%":[62],"increase":[63],"classification":[65,103],"performance":[66],"two":[68],"different":[69],"detector":[71,81],"architectures":[72],"validation":[75],"dataset":[76],"training":[78],"an":[79],"groups":[85],"rather":[86],"all":[89],"classes,":[90],"suggesting":[91],"potential":[93],"our":[95],"method":[96],"baseline":[99],"for":[100],"multi-stage":[102],"scheme.":[104]},"counts_by_year":[{"year":2025,"cited_by_count":1}],"updated_date":"2026-07-23T08:03:31.855105","created_date":"2025-10-10T00:00:00"}