{"id":"https://openalex.org/W4226439529","doi":"https://doi.org/10.1515/comp-2022-0231","title":"A method for detecting objects in dense scenes","display_name":"A method for detecting objects in dense scenes","publication_year":2022,"publication_date":"2022-01-01","ids":{"openalex":"https://openalex.org/W4226439529","doi":"https://doi.org/10.1515/comp-2022-0231"},"language":"en","primary_location":{"id":"doi:10.1515/comp-2022-0231","is_oa":true,"landing_page_url":"https://doi.org/10.1515/comp-2022-0231","pdf_url":"https://www.degruyter.com/document/doi/10.1515/comp-2022-0231/pdf","source":{"id":"https://openalex.org/S4210177004","display_name":"Open Computer Science","issn_l":"2299-1093","issn":["2299-1093"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310313990","host_organization_name":"De Gruyter","host_organization_lineage":["https://openalex.org/P4310313990"],"host_organization_lineage_names":["De Gruyter"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Open Computer Science","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.degruyter.com/document/doi/10.1515/comp-2022-0231/pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5044238570","display_name":"Chuanyun Xu","orcid":"https://orcid.org/0000-0002-1609-7658"},"institutions":[{"id":"https://openalex.org/I50632499","display_name":"Chongqing University of Technology","ror":"https://ror.org/04vgbd477","country_code":"CN","type":"education","lineage":["https://openalex.org/I50632499"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chuanyun Xu","raw_affiliation_strings":["College of Computer Science and Engineering, Chongqing University of Technology , Chongqing , China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Computer Science and Engineering, Chongqing University of Technology , Chongqing , China","institution_ids":["https://openalex.org/I50632499"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100681023","display_name":"Yu Zheng","orcid":"https://orcid.org/0000-0002-5224-4344"},"institutions":[{"id":"https://openalex.org/I50632499","display_name":"Chongqing University of Technology","ror":"https://ror.org/04vgbd477","country_code":"CN","type":"education","lineage":["https://openalex.org/I50632499"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Yu Zheng","raw_affiliation_strings":["College of Computer Science and Engineering, Chongqing University of Technology , Chongqing , China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Computer Science and Engineering, Chongqing University of Technology , Chongqing , China","institution_ids":["https://openalex.org/I50632499"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100354683","display_name":"Yang Zhang","orcid":"https://orcid.org/0000-0002-4170-4798"},"institutions":[{"id":"https://openalex.org/I126924076","display_name":"Chongqing Normal University","ror":"https://ror.org/01dcw5w74","country_code":"CN","type":"education","lineage":["https://openalex.org/I126924076"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yang Zhang","raw_affiliation_strings":["College of Computer and Information Science, Chongqing Normal University , Chongqing , China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Computer and Information Science, Chongqing Normal University , Chongqing , China","institution_ids":["https://openalex.org/I126924076"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100438659","display_name":"Gang Li","orcid":"https://orcid.org/0000-0001-9956-7653"},"institutions":[{"id":"https://openalex.org/I50632499","display_name":"Chongqing University of Technology","ror":"https://ror.org/04vgbd477","country_code":"CN","type":"education","lineage":["https://openalex.org/I50632499"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Gang Li","raw_affiliation_strings":["College of Computer Science and Engineering, Chongqing University of Technology , Chongqing , China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Computer Science and Engineering, Chongqing University of Technology , Chongqing , China","institution_ids":["https://openalex.org/I50632499"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100346965","display_name":"Ying Wang","orcid":"https://orcid.org/0000-0001-5172-4736"},"institutions":[{"id":"https://openalex.org/I50632499","display_name":"Chongqing University of Technology","ror":"https://ror.org/04vgbd477","country_code":"CN","type":"education","lineage":["https://openalex.org/I50632499"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ying Wang","raw_affiliation_strings":["College of Computer Science and Engineering, Chongqing University of Technology , Chongqing , China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Computer Science and Engineering, Chongqing University of Technology , Chongqing , China","institution_ids":["https://openalex.org/I50632499"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5100681023"],"corresponding_institution_ids":["https://openalex.org/I50632499"],"apc_list":{"value":1000,"currency":"EUR","value_usd":1078},"apc_paid":{"value":1000,"currency":"EUR","value_usd":1078},"fwci":0.4064,"has_fulltext":true,"cited_by_count":4,"citation_normalized_percentile":{"value":0.58428811,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":96},"biblio":{"volume":"12","issue":"1","first_page":"75","last_page":"82"},"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/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.9955000281333923,"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":0.989300012588501,"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/computer-science","display_name":"Computer science","score":0.7881814241409302},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6910715699195862},{"id":"https://openalex.org/keywords/cascade","display_name":"Cascade","score":0.6183659434318542},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.5874233841896057},{"id":"https://openalex.org/keywords/detector","display_name":"Detector","score":0.5809880495071411},{"id":"https://openalex.org/keywords/object-detection","display_name":"Object detection","score":0.5244805216789246},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5024683475494385},{"id":"https://openalex.org/keywords/object","display_name":"Object (grammar)","score":0.48972728848457336},{"id":"https://openalex.org/keywords/quality","display_name":"Quality (philosophy)","score":0.47129952907562256},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4386712908744812},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.05910569429397583},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.051681458950042725}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7881814241409302},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6910715699195862},{"id":"https://openalex.org/C34146451","wikidata":"https://www.wikidata.org/wiki/Q5048094","display_name":"Cascade","level":2,"score":0.6183659434318542},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.5874233841896057},{"id":"https://openalex.org/C94915269","wikidata":"https://www.wikidata.org/wiki/Q1834857","display_name":"Detector","level":2,"score":0.5809880495071411},{"id":"https://openalex.org/C2776151529","wikidata":"https://www.wikidata.org/wiki/Q3045304","display_name":"Object detection","level":3,"score":0.5244805216789246},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5024683475494385},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.48972728848457336},{"id":"https://openalex.org/C2779530757","wikidata":"https://www.wikidata.org/wiki/Q1207505","display_name":"Quality (philosophy)","level":2,"score":0.47129952907562256},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4386712908744812},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.05910569429397583},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.051681458950042725},{"id":"https://openalex.org/C42360764","wikidata":"https://www.wikidata.org/wiki/Q83588","display_name":"Chemical engineering","level":1,"score":0.0},{"id":"https://openalex.org/C111472728","wikidata":"https://www.wikidata.org/wiki/Q9471","display_name":"Epistemology","level":1,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1515/comp-2022-0231","is_oa":true,"landing_page_url":"https://doi.org/10.1515/comp-2022-0231","pdf_url":"https://www.degruyter.com/document/doi/10.1515/comp-2022-0231/pdf","source":{"id":"https://openalex.org/S4210177004","display_name":"Open Computer Science","issn_l":"2299-1093","issn":["2299-1093"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310313990","host_organization_name":"De Gruyter","host_organization_lineage":["https://openalex.org/P4310313990"],"host_organization_lineage_names":["De Gruyter"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Open Computer Science","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:41b53e37a2894091948563673c9ffe59","is_oa":true,"landing_page_url":"https://doaj.org/article/41b53e37a2894091948563673c9ffe59","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":"Open Computer Science, Vol 12, Iss 1, Pp 75-82 (2022)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1515/comp-2022-0231","is_oa":true,"landing_page_url":"https://doi.org/10.1515/comp-2022-0231","pdf_url":"https://www.degruyter.com/document/doi/10.1515/comp-2022-0231/pdf","source":{"id":"https://openalex.org/S4210177004","display_name":"Open Computer Science","issn_l":"2299-1093","issn":["2299-1093"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310313990","host_organization_name":"De Gruyter","host_organization_lineage":["https://openalex.org/P4310313990"],"host_organization_lineage_names":["De Gruyter"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Open Computer Science","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4226439529.pdf","grobid_xml":"https://content.openalex.org/works/W4226439529.grobid-xml"},"referenced_works_count":34,"referenced_works":["https://openalex.org/W7746136","https://openalex.org/W1536680647","https://openalex.org/W1861492603","https://openalex.org/W2031489346","https://openalex.org/W2036989445","https://openalex.org/W2066624635","https://openalex.org/W2088049833","https://openalex.org/W2097117768","https://openalex.org/W2102605133","https://openalex.org/W2108598243","https://openalex.org/W2161969291","https://openalex.org/W2193145675","https://openalex.org/W2194775991","https://openalex.org/W2519281173","https://openalex.org/W2520723410","https://openalex.org/W2565639579","https://openalex.org/W2613718673","https://openalex.org/W2618530766","https://openalex.org/W2732026016","https://openalex.org/W2752782242","https://openalex.org/W2773656608","https://openalex.org/W2884367402","https://openalex.org/W2916798096","https://openalex.org/W2962766617","https://openalex.org/W2963037989","https://openalex.org/W2963351448","https://openalex.org/W2971900262","https://openalex.org/W2982770724","https://openalex.org/W2997747012","https://openalex.org/W3009131247","https://openalex.org/W3035323039","https://openalex.org/W3043944662","https://openalex.org/W3106250896","https://openalex.org/W3106753828"],"related_works":["https://openalex.org/W2153719181","https://openalex.org/W1971748923","https://openalex.org/W1566155057","https://openalex.org/W2060986072","https://openalex.org/W2052574922","https://openalex.org/W64588465","https://openalex.org/W3120641340","https://openalex.org/W2117825986","https://openalex.org/W4292830139","https://openalex.org/W4319309705"],"abstract_inverted_index":{"Abstract":[0],"Recent":[1],"object":[2],"detectors":[3,20],"have":[4],"achieved":[5],"excellent":[6],"performance":[7],"in":[8,23,38,41,48,117],"accuracy":[9,40,93,116],"and":[10,31,53,79],"speed.":[11],"Even":[12],"with":[13],"such":[14],"impressive":[15],"results,":[16],"the":[17,33,36,63,67,98,106,114],"most":[18],"advanced":[19],"are":[21,66],"challenging":[22],"dense":[24,42,82,118],"scenes.":[25,43,119],"In":[26],"this":[27],"article,":[28],"we":[29,77],"analyze":[30],"find":[32],"reasons":[34],"for":[35],"decrease":[37],"detection":[39,71,83,115],"We":[44,56],"started":[45],"our":[46,75],"work":[47],"terms":[49],"of":[50,94,108],"region":[51],"proposal":[52,60],"location":[54],"loss.":[55],"found":[57],"that":[58,104],"low-quality":[59],"regions":[61,110],"during":[62],"training":[64],"process":[65],"main":[68],"factors":[69],"affecting":[70],"accuracy.":[72],"To":[73],"prove":[74],"research,":[76],"established":[78],"trained":[80],"a":[81],"model":[84,90],"based":[85],"on":[86,97],"Cascade":[87],"R-CNN.":[88],"The":[89],"achieves":[91],"an":[92],"mAP":[95],"0.413":[96],"SKU-110K":[99],"sub-dataset.":[100],"Our":[101],"results":[102],"show":[103],"improving":[105],"quality":[107],"recommended":[109],"can":[111],"effectively":[112],"improve":[113]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":2}],"updated_date":"2026-05-06T08:25:59.206177","created_date":"2022-05-05T00:00:00"}
