{"id":"https://openalex.org/W4409428851","doi":"https://doi.org/10.1007/s44196-025-00817-4","title":"Synthetic Dataset Generation Method for Object Detection","display_name":"Synthetic Dataset Generation Method for Object Detection","publication_year":2025,"publication_date":"2025-04-14","ids":{"openalex":"https://openalex.org/W4409428851","doi":"https://doi.org/10.1007/s44196-025-00817-4"},"language":"en","primary_location":{"id":"doi:10.1007/s44196-025-00817-4","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s44196-025-00817-4","pdf_url":"https://link.springer.com/content/pdf/10.1007/s44196-025-00817-4.pdf","source":{"id":"https://openalex.org/S190680769","display_name":"International Journal of Computational Intelligence Systems","issn_l":"1875-6883","issn":["1875-6883","1875-6891"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319965","host_organization_name":"Springer Nature","host_organization_lineage":["https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Nature"],"type":"journal"},"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Computational Intelligence Systems","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://link.springer.com/content/pdf/10.1007/s44196-025-00817-4.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5020894075","display_name":"Ningning Zhou","orcid":"https://orcid.org/0000-0001-8530-2785"},"institutions":[{"id":"https://openalex.org/I41198531","display_name":"Nanjing University of Posts and Telecommunications","ror":"https://ror.org/043bpky34","country_code":"CN","type":"education","lineage":["https://openalex.org/I41198531"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Ningning Zhou","raw_affiliation_strings":["School of Computer, Nanjing University of Posts and Telecommunications, No. 9 Wenyuan Road, Nanjing, 210023, Jiangsu, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer, Nanjing University of Posts and Telecommunications, No. 9 Wenyuan Road, Nanjing, 210023, Jiangsu, China","institution_ids":["https://openalex.org/I41198531"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100359025","display_name":"Tong Li","orcid":"https://orcid.org/0000-0002-4343-703X"},"institutions":[{"id":"https://openalex.org/I4210128418","display_name":"Nanjing Xiaozhuang University","ror":"https://ror.org/03fnv7n42","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210128418"]},{"id":"https://openalex.org/I4210166603","display_name":"Jinling Institute of Technology","ror":"https://ror.org/05em1gq62","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210166603"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Tong Li","raw_affiliation_strings":["Jinzhuan Information Technology Co., Ltd, Nanjing, 210012, Jiangsu, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Jinzhuan Information Technology Co., Ltd, Nanjing, 210012, Jiangsu, China","institution_ids":["https://openalex.org/I4210128418","https://openalex.org/I4210166603"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5020894075"],"corresponding_institution_ids":["https://openalex.org/I41198531"],"apc_list":{"value":2090,"currency":"USD","value_usd":2090},"apc_paid":{"value":2090,"currency":"USD","value_usd":2090},"fwci":1.6374,"has_fulltext":true,"cited_by_count":3,"citation_normalized_percentile":{"value":0.82547944,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":98},"biblio":{"volume":"18","issue":"1","first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10036","display_name":"Advanced Neural Network Applications","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"}},"topics":[{"id":"https://openalex.org/T10036","display_name":"Advanced Neural Network Applications","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/T10331","display_name":"Video Surveillance and Tracking Methods","score":0.9993000030517578,"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":0.9965999722480774,"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/computer-science","display_name":"Computer science","score":0.7082698941230774},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5019330978393555},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.45416077971458435},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.4433744549751282},{"id":"https://openalex.org/keywords/object","display_name":"Object (grammar)","score":0.4161780774593353}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7082698941230774},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5019330978393555},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.45416077971458435},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.4433744549751282},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.4161780774593353}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1007/s44196-025-00817-4","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s44196-025-00817-4","pdf_url":"https://link.springer.com/content/pdf/10.1007/s44196-025-00817-4.pdf","source":{"id":"https://openalex.org/S190680769","display_name":"International Journal of Computational Intelligence Systems","issn_l":"1875-6883","issn":["1875-6883","1875-6891"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319965","host_organization_name":"Springer Nature","host_organization_lineage":["https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Nature"],"type":"journal"},"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Computational Intelligence Systems","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:2b7a040d3d604565858cccf539b07d37","is_oa":true,"landing_page_url":"https://doaj.org/article/2b7a040d3d604565858cccf539b07d37","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":"International Journal of Computational Intelligence Systems, Vol 18, Iss 1, Pp 1-15 (2025)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1007/s44196-025-00817-4","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s44196-025-00817-4","pdf_url":"https://link.springer.com/content/pdf/10.1007/s44196-025-00817-4.pdf","source":{"id":"https://openalex.org/S190680769","display_name":"International Journal of Computational Intelligence Systems","issn_l":"1875-6883","issn":["1875-6883","1875-6891"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319965","host_organization_name":"Springer Nature","host_organization_lineage":["https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Nature"],"type":"journal"},"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Computational Intelligence Systems","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4409428851.pdf","grobid_xml":"https://content.openalex.org/works/W4409428851.grobid-xml"},"referenced_works_count":16,"referenced_works":["https://openalex.org/W764651262","https://openalex.org/W1903029394","https://openalex.org/W2109255472","https://openalex.org/W2340897893","https://openalex.org/W2397830550","https://openalex.org/W2431874326","https://openalex.org/W2487365028","https://openalex.org/W2737047298","https://openalex.org/W2963271314","https://openalex.org/W2963316300","https://openalex.org/W2964047820","https://openalex.org/W2964337551","https://openalex.org/W2997747012","https://openalex.org/W3190862164","https://openalex.org/W4386076325","https://openalex.org/W4398223181"],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2899084033","https://openalex.org/W2748952813","https://openalex.org/W2390279801","https://openalex.org/W4391913857","https://openalex.org/W2358668433","https://openalex.org/W4396701345","https://openalex.org/W2376932109","https://openalex.org/W2033914206","https://openalex.org/W2042327336"],"abstract_inverted_index":{"To":[0],"address":[1],"the":[2,24,28,60,70,85,110,117,124,128,183],"high":[3,163],"construction":[4],"cost":[5,118],"of":[6,33,59,119,127,146,174],"datasets":[7,48,145],"for":[8],"object":[9,51,132],"detection,":[10],"particularly":[11],"in":[12,109],"industrial":[13],"application":[14],"scenarios":[15],"where":[16],"sufficient":[17],"sample":[18],"images":[19,72,153,176],"cannot":[20],"be":[21],"obtained":[22],"from":[23],"Internet":[25],"due":[26],"to":[27,44,67,104],"specialized":[29],"nature":[30],"and":[31,35,49,65,76,84,139,189],"diversity":[32],"objects":[34,108],"their":[36,179],"working":[37],"environments,":[38],"this":[39,91],"paper":[40],"proposes":[41],"a":[42,79,170],"method":[43],"automatically":[45,105],"generate":[46],"synthetic":[47,71,111,144,159],"train":[50],"detection":[52,125,133],"models":[53,58,87,156,168,184],"on":[54,143,151,158],"them.":[55],"First,":[56],"3D":[57,86],"target":[61,107],"devices":[62],"are":[63,88,102,141],"created":[64],"rendered":[66],"ensure":[68],"that":[69,155],"exhibit":[73,185],"realistic":[74],"texture":[75],"detail.":[77],"Next,":[78],"simulation":[80],"environment":[81,92],"is":[82],"constructed":[83],"integrated":[89],"into":[90],"using":[93],"global":[94],"domain":[95],"randomization":[96],"techniques.":[97],"Finally,":[98],"computer":[99],"graphics":[100],"methods":[101],"applied":[103],"annotate":[106],"images.":[112],"This":[113],"approach":[114],"effectively":[115],"reduces":[116],"data":[120,160],"acquisition":[121],"while":[122],"maintaining":[123],"accuracy":[126],"models.":[129],"Several":[130],"mainstream":[131],"models,":[134],"including":[135],"Faster":[136],"R-CNN,":[137],"SSD,":[138],"YOLO,":[140],"trained":[142,157],"anti-vibration":[147],"dampers.":[148],"Experimental":[149],"results":[150],"real-world":[152],"demonstrate":[154],"achieve":[161],"relatively":[162],"accuracy.":[164],"Furthermore,":[165],"fine-tuning":[166],"these":[167],"with":[169],"very":[171],"small":[172],"number":[173],"real":[175],"significantly":[177],"enhances":[178],"performance.":[180],"In":[181],"addition,":[182],"robustness":[186],"against":[187],"interference":[188],"occlusion.":[190]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":1}],"updated_date":"2026-07-23T08:03:31.855105","created_date":"2025-10-10T00:00:00"}