{"id":"https://openalex.org/W2793853941","doi":"https://doi.org/10.1109/spac.2017.8304297","title":"Improving object detection accuracy with region and regression based deep CNNs","display_name":"Improving object detection accuracy with region and regression based deep CNNs","publication_year":2017,"publication_date":"2017-12-01","ids":{"openalex":"https://openalex.org/W2793853941","doi":"https://doi.org/10.1109/spac.2017.8304297","mag":"2793853941"},"language":"en","primary_location":{"id":"doi:10.1109/spac.2017.8304297","is_oa":false,"landing_page_url":"https://doi.org/10.1109/spac.2017.8304297","pdf_url":null,"source":{"id":"https://openalex.org/S4306498208","display_name":"2017 International Conference on Security, Pattern Analysis, and Cybernetics (SPAC)","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":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 International Conference on Security, Pattern Analysis, and Cybernetics (SPAC)","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/A5059105298","display_name":"Liang Qu","orcid":"https://orcid.org/0000-0002-2755-7592"},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Liang Qu","raw_affiliation_strings":["Environment & Disaster Prevention and Mitigation, Shandong Provincial Key Laboratory of Marine Ecology"],"affiliations":[{"raw_affiliation_string":"Environment & Disaster Prevention and Mitigation, Shandong Provincial Key Laboratory of Marine Ecology","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5017601344","display_name":"Shengke Wang","orcid":"https://orcid.org/0000-0002-4906-8773"},"institutions":[{"id":"https://openalex.org/I108688024","display_name":"Qingdao University","ror":"https://ror.org/021cj6z65","country_code":"CN","type":"education","lineage":["https://openalex.org/I108688024"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shengke Wang","raw_affiliation_strings":["School of Information Science and Engineering, University of Chisana, Qingdao, China"],"affiliations":[{"raw_affiliation_string":"School of Information Science and Engineering, University of Chisana, Qingdao, China","institution_ids":["https://openalex.org/I108688024"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5013761158","display_name":"Na Yang","orcid":"https://orcid.org/0000-0002-7176-1718"},"institutions":[{"id":"https://openalex.org/I108688024","display_name":"Qingdao University","ror":"https://ror.org/021cj6z65","country_code":"CN","type":"education","lineage":["https://openalex.org/I108688024"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Na Yang","raw_affiliation_strings":["School of Information Science and Engineering, University of Chisana, Qingdao, China"],"affiliations":[{"raw_affiliation_string":"School of Information Science and Engineering, University of Chisana, Qingdao, China","institution_ids":["https://openalex.org/I108688024"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100336450","display_name":"Long Chen","orcid":"https://orcid.org/0000-0003-4925-0572"},"institutions":[{"id":"https://openalex.org/I108688024","display_name":"Qingdao University","ror":"https://ror.org/021cj6z65","country_code":"CN","type":"education","lineage":["https://openalex.org/I108688024"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Long Chen","raw_affiliation_strings":["School of Information Science and Engineering, University of Chisana, Qingdao, China"],"affiliations":[{"raw_affiliation_string":"School of Information Science and Engineering, University of Chisana, Qingdao, China","institution_ids":["https://openalex.org/I108688024"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5002822427","display_name":"Lu Liu","orcid":null},"institutions":[{"id":"https://openalex.org/I108688024","display_name":"Qingdao University","ror":"https://ror.org/021cj6z65","country_code":"CN","type":"education","lineage":["https://openalex.org/I108688024"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Lu Liu","raw_affiliation_strings":["School of Information Science and Engineering, University of Chisana, Qingdao, China"],"affiliations":[{"raw_affiliation_string":"School of Information Science and Engineering, University of Chisana, Qingdao, China","institution_ids":["https://openalex.org/I108688024"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5068068982","display_name":"Xiaoyan Zhang","orcid":"https://orcid.org/0000-0002-5446-7568"},"institutions":[{"id":"https://openalex.org/I108688024","display_name":"Qingdao University","ror":"https://ror.org/021cj6z65","country_code":"CN","type":"education","lineage":["https://openalex.org/I108688024"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiaoyan Zhang","raw_affiliation_strings":["School of Information Science and Engineering, University of Chisana, Qingdao, China"],"affiliations":[{"raw_affiliation_string":"School of Information Science and Engineering, University of Chisana, Qingdao, China","institution_ids":["https://openalex.org/I108688024"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5046668357","display_name":"Feng Gao","orcid":"https://orcid.org/0000-0002-1825-328X"},"institutions":[{"id":"https://openalex.org/I108688024","display_name":"Qingdao University","ror":"https://ror.org/021cj6z65","country_code":"CN","type":"education","lineage":["https://openalex.org/I108688024"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Feng Gao","raw_affiliation_strings":["School of Information Science and Engineering, University of Chisana, Qingdao, China"],"affiliations":[{"raw_affiliation_string":"School of Information Science and Engineering, University of Chisana, Qingdao, China","institution_ids":["https://openalex.org/I108688024"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5029633264","display_name":"Junyu Dong","orcid":"https://orcid.org/0000-0001-7012-2087"},"institutions":[{"id":"https://openalex.org/I108688024","display_name":"Qingdao University","ror":"https://ror.org/021cj6z65","country_code":"CN","type":"education","lineage":["https://openalex.org/I108688024"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Junyu Dong","raw_affiliation_strings":["School of Information Science and Engineering, University of Chisana, Qingdao, China"],"affiliations":[{"raw_affiliation_string":"School of Information Science and Engineering, University of Chisana, Qingdao, China","institution_ids":["https://openalex.org/I108688024"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":8,"corresponding_author_ids":["https://openalex.org/A5059105298"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.2955,"has_fulltext":false,"cited_by_count":6,"citation_normalized_percentile":{"value":0.67710145,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":"32","issue":null,"first_page":"318","last_page":"323"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10036","display_name":"Advanced Neural Network Applications","score":1.0,"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":1.0,"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":0.9990000128746033,"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":0.9983000159263611,"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":0.8170457482337952},{"id":"https://openalex.org/keywords/pascal","display_name":"Pascal (unit)","score":0.7671622037887573},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7342892289161682},{"id":"https://openalex.org/keywords/object-detection","display_name":"Object detection","score":0.7022597193717957},{"id":"https://openalex.org/keywords/discriminative-model","display_name":"Discriminative model","score":0.6933685541152954},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.6631976962089539},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.5650435090065002},{"id":"https://openalex.org/keywords/object","display_name":"Object (grammar)","score":0.47647759318351746}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8170457482337952},{"id":"https://openalex.org/C75608658","wikidata":"https://www.wikidata.org/wiki/Q44395","display_name":"Pascal (unit)","level":2,"score":0.7671622037887573},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7342892289161682},{"id":"https://openalex.org/C2776151529","wikidata":"https://www.wikidata.org/wiki/Q3045304","display_name":"Object detection","level":3,"score":0.7022597193717957},{"id":"https://openalex.org/C97931131","wikidata":"https://www.wikidata.org/wiki/Q5282087","display_name":"Discriminative model","level":2,"score":0.6933685541152954},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.6631976962089539},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.5650435090065002},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.47647759318351746},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/spac.2017.8304297","is_oa":false,"landing_page_url":"https://doi.org/10.1109/spac.2017.8304297","pdf_url":null,"source":{"id":"https://openalex.org/S4306498208","display_name":"2017 International Conference on Security, Pattern Analysis, and Cybernetics (SPAC)","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":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 International Conference on Security, Pattern Analysis, and Cybernetics (SPAC)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.7300000190734863,"display_name":"Reduced inequalities","id":"https://metadata.un.org/sdg/10"}],"awards":[],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320324174","display_name":"Natural Science Foundation of Shandong Province","ror":null}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":32,"referenced_works":["https://openalex.org/W639708223","https://openalex.org/W1536680647","https://openalex.org/W1686810756","https://openalex.org/W1832500336","https://openalex.org/W1932624639","https://openalex.org/W1982554717","https://openalex.org/W2031489346","https://openalex.org/W2055022211","https://openalex.org/W2088049833","https://openalex.org/W2097117768","https://openalex.org/W2102605133","https://openalex.org/W2108598243","https://openalex.org/W2163605009","https://openalex.org/W2168356304","https://openalex.org/W2298605637","https://openalex.org/W2400262625","https://openalex.org/W2412782625","https://openalex.org/W2527704174","https://openalex.org/W2568078565","https://openalex.org/W2613718673","https://openalex.org/W2952865063","https://openalex.org/W2963037989","https://openalex.org/W2963873508","https://openalex.org/W3106250896","https://openalex.org/W6620707391","https://openalex.org/W6631782140","https://openalex.org/W6637373629","https://openalex.org/W6676297131","https://openalex.org/W6684191040","https://openalex.org/W6697869303","https://openalex.org/W6715287400","https://openalex.org/W6785652829"],"related_works":["https://openalex.org/W2493838176","https://openalex.org/W4297686120","https://openalex.org/W4376620596","https://openalex.org/W3177249605","https://openalex.org/W2534152068","https://openalex.org/W4299545679","https://openalex.org/W3138508047","https://openalex.org/W1972515067","https://openalex.org/W1689909837","https://openalex.org/W4293054914"],"abstract_inverted_index":{"Object":[0,23],"detection":[1,24,37,51,79],"has":[2],"made":[3],"great":[4],"improvements":[5],"in":[6,29,87],"convolutional":[7],"neural":[8],"networks":[9],"(CNNs),":[10],"which":[11],"is":[12,28,140],"the":[13,56,72,115,133,144,164,177,194,203,209,225],"high-capacity":[14],"visual":[15],"model":[16],"that":[17,77,191,218],"yields":[18],"hierarchies":[19],"of":[20,59,66,81,128,135,147,163,180],"discriminative":[21],"features.":[22],"based":[25,36,40,93,106],"on":[26,202,228],"CNNs":[27],"general":[30,83],"divided":[31],"into":[32],"two":[33,61,73,82,126,137,149,168,220],"aspects:":[34],"region":[35],"and":[38,90,151,156,206],"regression":[39,105],"detection.":[41],"In":[42,170],"this":[43],"paper,":[44],"we":[45,75,124,183],"aim":[46],"at":[47],"further":[48,207],"advancing":[49],"object":[50,88,116,181],"performance":[52,179,210],"by":[53,112,121,167,211],"properly":[54],"utilizing":[55,143],"complementary":[57,86,145],"results":[58,80,134,146,165,227],"those":[60,78,136,148],"streams.":[62,138,169],"By":[63],"investigating":[64],"errors":[65,111],"several":[67],"previous":[68],"state-of-the-art":[69,226],"methods":[70,94,107],"about":[71],"streams,":[74],"discover":[76],"streams":[84,150],"are":[85],"recognition":[89],"localization.":[91,119],"Region":[92],"achieve":[95],"high":[96],"recall":[97],"but":[98],"simultaneously":[99],"struggle":[100],"with":[101],"localization":[102,110],"problems,":[103],"while":[104],"make":[108,160],"less":[109],"iteratively":[113],"regressing":[114],"to":[117,131,159],"target":[118],"Driven":[120],"these":[122],"observations,":[123],"propose":[125,185],"kinds":[127],"fusion":[129,142,174],"paradigms":[130,222],"combine":[132],"One":[139],"direct":[141,173],"adopting":[152],"non-maximal":[153],"suppression":[154],"(NMS)":[155],"voting":[157,189],"operation":[158,190],"full":[161],"use":[162],"generated":[166],"addition,":[171],"considering":[172],"may":[175],"compromise":[176],"original":[178,204],"detections,":[182],"also":[184],"another":[186],"method,":[187],"modifies":[188],"just":[192],"refines":[193],"box":[195],"coordinate":[196],"without":[197],"having":[198],"any":[199],"other":[200],"impact":[201],"detections":[205],"boosts":[208],"an":[212],"adding":[213],"operation.":[214],"Extensive":[215],"experiments":[216],"show":[217],"our":[219],"ensemble":[221],"both":[223],"boost":[224],"Pascal":[229],"VOC":[230],"dataset.":[231]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":1},{"year":2019,"cited_by_count":3}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}