{"id":"https://openalex.org/W3016916515","doi":"https://doi.org/10.1109/tcsvt.2020.2987465","title":"High-Quality R-CNN Object Detection Using Multi-Path Detection Calibration Network","display_name":"High-Quality R-CNN Object Detection Using Multi-Path Detection Calibration Network","publication_year":2020,"publication_date":"2020-04-14","ids":{"openalex":"https://openalex.org/W3016916515","doi":"https://doi.org/10.1109/tcsvt.2020.2987465","mag":"3016916515"},"language":"en","primary_location":{"id":"doi:10.1109/tcsvt.2020.2987465","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tcsvt.2020.2987465","pdf_url":null,"source":{"id":"https://openalex.org/S115173108","display_name":"IEEE Transactions on Circuits and Systems for Video Technology","issn_l":"1051-8215","issn":["1051-8215","1558-2205"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Circuits and Systems for Video Technology","raw_type":"journal-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/A5100386491","display_name":"Xiaoyu Chen","orcid":"https://orcid.org/0000-0002-5398-4635"},"institutions":[{"id":"https://openalex.org/I150229711","display_name":"University of Electronic Science and Technology of China","ror":"https://ror.org/04qr3zq92","country_code":"CN","type":"education","lineage":["https://openalex.org/I150229711"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Xiaoyu Chen","raw_affiliation_strings":["School of Information and Communication Engineering, University of Electronic Science and Technology of China, Chengdu, China"],"affiliations":[{"raw_affiliation_string":"School of Information and Communication Engineering, University of Electronic Science and Technology of China, Chengdu, China","institution_ids":["https://openalex.org/I150229711"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5114378292","display_name":"Hongliang Li","orcid":"https://orcid.org/0000-0002-7481-095X"},"institutions":[{"id":"https://openalex.org/I150229711","display_name":"University of Electronic Science and Technology of China","ror":"https://ror.org/04qr3zq92","country_code":"CN","type":"education","lineage":["https://openalex.org/I150229711"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hongliang Li","raw_affiliation_strings":["School of Information and Communication Engineering, University of Electronic Science and Technology of China, Chengdu, China"],"affiliations":[{"raw_affiliation_string":"School of Information and Communication Engineering, University of Electronic Science and Technology of China, Chengdu, China","institution_ids":["https://openalex.org/I150229711"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5075737786","display_name":"Qingbo Wu","orcid":"https://orcid.org/0000-0003-2936-6340"},"institutions":[{"id":"https://openalex.org/I150229711","display_name":"University of Electronic Science and Technology of China","ror":"https://ror.org/04qr3zq92","country_code":"CN","type":"education","lineage":["https://openalex.org/I150229711"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qingbo Wu","raw_affiliation_strings":["School of Information and Communication Engineering, University of Electronic Science and Technology of China, Chengdu, China"],"affiliations":[{"raw_affiliation_string":"School of Information and Communication Engineering, University of Electronic Science and Technology of China, Chengdu, China","institution_ids":["https://openalex.org/I150229711"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5062332580","display_name":"King Ngi Ngan","orcid":"https://orcid.org/0000-0003-1946-3235"},"institutions":[{"id":"https://openalex.org/I150229711","display_name":"University of Electronic Science and Technology of China","ror":"https://ror.org/04qr3zq92","country_code":"CN","type":"education","lineage":["https://openalex.org/I150229711"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"King Ngi Ngan","raw_affiliation_strings":["School of Information and Communication Engineering, University of Electronic Science and Technology of China, Chengdu, China"],"affiliations":[{"raw_affiliation_string":"School of Information and Communication Engineering, University of Electronic Science and Technology of China, Chengdu, China","institution_ids":["https://openalex.org/I150229711"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5044954967","display_name":"Linfeng Xu","orcid":"https://orcid.org/0000-0002-9934-0958"},"institutions":[{"id":"https://openalex.org/I150229711","display_name":"University of Electronic Science and Technology of China","ror":"https://ror.org/04qr3zq92","country_code":"CN","type":"education","lineage":["https://openalex.org/I150229711"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Linfeng Xu","raw_affiliation_strings":["School of Information and Communication Engineering, University of Electronic Science and Technology of China, Chengdu, China"],"affiliations":[{"raw_affiliation_string":"School of Information and Communication Engineering, University of Electronic Science and Technology of China, Chengdu, China","institution_ids":["https://openalex.org/I150229711"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5100386491"],"corresponding_institution_ids":["https://openalex.org/I150229711"],"apc_list":null,"apc_paid":null,"fwci":4.4152,"has_fulltext":false,"cited_by_count":76,"citation_normalized_percentile":{"value":0.95656582,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":94,"max":100},"biblio":{"volume":"31","issue":"2","first_page":"715","last_page":"727"},"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/T11689","display_name":"Adversarial Robustness in Machine Learning","score":0.9970999956130981,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.9950000047683716,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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/pascal","display_name":"Pascal (unit)","score":0.8073809146881104},{"id":"https://openalex.org/keywords/bounding-overwatch","display_name":"Bounding overwatch","score":0.8045628070831299},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7622078657150269},{"id":"https://openalex.org/keywords/minimum-bounding-box","display_name":"Minimum bounding box","score":0.7515541315078735},{"id":"https://openalex.org/keywords/object-detection","display_name":"Object detection","score":0.742835283279419},{"id":"https://openalex.org/keywords/detector","display_name":"Detector","score":0.7075355648994446},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6247195601463318},{"id":"https://openalex.org/keywords/path","display_name":"Path (computing)","score":0.5098497271537781},{"id":"https://openalex.org/keywords/object","display_name":"Object (grammar)","score":0.5097500681877136},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.48487743735313416},{"id":"https://openalex.org/keywords/calibration","display_name":"Calibration","score":0.47142618894577026},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.44246286153793335},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.40186959505081177},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.2129252851009369},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.171662837266922},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.068911612033844}],"concepts":[{"id":"https://openalex.org/C75608658","wikidata":"https://www.wikidata.org/wiki/Q44395","display_name":"Pascal (unit)","level":2,"score":0.8073809146881104},{"id":"https://openalex.org/C63584917","wikidata":"https://www.wikidata.org/wiki/Q333286","display_name":"Bounding overwatch","level":2,"score":0.8045628070831299},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7622078657150269},{"id":"https://openalex.org/C147037132","wikidata":"https://www.wikidata.org/wiki/Q6865426","display_name":"Minimum bounding box","level":3,"score":0.7515541315078735},{"id":"https://openalex.org/C2776151529","wikidata":"https://www.wikidata.org/wiki/Q3045304","display_name":"Object detection","level":3,"score":0.742835283279419},{"id":"https://openalex.org/C94915269","wikidata":"https://www.wikidata.org/wiki/Q1834857","display_name":"Detector","level":2,"score":0.7075355648994446},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6247195601463318},{"id":"https://openalex.org/C2777735758","wikidata":"https://www.wikidata.org/wiki/Q817765","display_name":"Path (computing)","level":2,"score":0.5098497271537781},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.5097500681877136},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.48487743735313416},{"id":"https://openalex.org/C165838908","wikidata":"https://www.wikidata.org/wiki/Q736777","display_name":"Calibration","level":2,"score":0.47142618894577026},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.44246286153793335},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.40186959505081177},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.2129252851009369},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.171662837266922},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.068911612033844},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.0},{"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/tcsvt.2020.2987465","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tcsvt.2020.2987465","pdf_url":null,"source":{"id":"https://openalex.org/S115173108","display_name":"IEEE Transactions on Circuits and Systems for Video Technology","issn_l":"1051-8215","issn":["1051-8215","1558-2205"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Circuits and Systems for Video Technology","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G3490299980","display_name":null,"funder_award_id":"61971095","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5032532683","display_name":null,"funder_award_id":"61831005","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5034034827","display_name":null,"funder_award_id":"61871078","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G7098893365","display_name":null,"funder_award_id":"61525102","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":61,"referenced_works":["https://openalex.org/W639708223","https://openalex.org/W845365781","https://openalex.org/W1536680647","https://openalex.org/W1832500336","https://openalex.org/W1861492603","https://openalex.org/W1901129140","https://openalex.org/W1932624639","https://openalex.org/W1934410531","https://openalex.org/W1958328135","https://openalex.org/W1986534430","https://openalex.org/W2031489346","https://openalex.org/W2088049833","https://openalex.org/W2102605133","https://openalex.org/W2108598243","https://openalex.org/W2109255472","https://openalex.org/W2117287331","https://openalex.org/W2163605009","https://openalex.org/W2194775991","https://openalex.org/W2288122362","https://openalex.org/W2474389331","https://openalex.org/W2526273376","https://openalex.org/W2541674938","https://openalex.org/W2549858646","https://openalex.org/W2557728737","https://openalex.org/W2565639579","https://openalex.org/W2579985080","https://openalex.org/W2601564443","https://openalex.org/W2613718673","https://openalex.org/W2779991293","https://openalex.org/W2810862788","https://openalex.org/W2886904239","https://openalex.org/W2893046710","https://openalex.org/W2897770249","https://openalex.org/W2897870704","https://openalex.org/W2912955895","https://openalex.org/W2949858991","https://openalex.org/W2950800384","https://openalex.org/W2962731685","https://openalex.org/W2962917547","https://openalex.org/W2963037989","https://openalex.org/W2963068995","https://openalex.org/W2963150697","https://openalex.org/W2963351448","https://openalex.org/W2963410064","https://openalex.org/W2963786238","https://openalex.org/W2964241181","https://openalex.org/W3012573144","https://openalex.org/W3097096317","https://openalex.org/W3106250896","https://openalex.org/W4288628038","https://openalex.org/W6620707391","https://openalex.org/W6639102338","https://openalex.org/W6639824700","https://openalex.org/W6684191040","https://openalex.org/W6714138976","https://openalex.org/W6729059855","https://openalex.org/W6732243160","https://openalex.org/W6752745451","https://openalex.org/W6755404872","https://openalex.org/W6758453640","https://openalex.org/W6785652829"],"related_works":["https://openalex.org/W3192357901","https://openalex.org/W3036286480","https://openalex.org/W2387360586","https://openalex.org/W4287027631","https://openalex.org/W4237171675","https://openalex.org/W3209723314","https://openalex.org/W2952736415","https://openalex.org/W1689909837","https://openalex.org/W2953362004","https://openalex.org/W4298525700"],"abstract_inverted_index":{"Object":[0],"proposals":[1,45,64,70,112,145],"are":[2,25],"used":[3],"in":[4,125,132],"two-stage":[5],"detectors,":[6],"such":[7],"as":[8],"R-CNN,":[9],"to":[10,27,90,186],"generate":[11],"detection":[12,56,101,130,141,166],"results,":[13],"including":[14],"category":[15,74],"predictions":[16],"and":[17,46,65,113,146,173,180],"refined":[18,28,47,114,158],"bounding-boxes.":[19,48,115,159],"As":[20],"a":[21,81],"result,":[22],"classification":[23],"scores":[24],"assigned":[26],"bounding-boxes":[29],"rather":[30],"than":[31],"object":[32,44,63,111,144],"proposals.":[33],"However,":[34],"this":[35,51,77,92],"procedure":[36],"ignores":[37],"the":[38,55,59,73,84,107,128,134,154],"discrepancy":[39,52,109],"of":[40],"data":[41],"distribution":[42],"between":[43,110],"We":[49],"consider":[50],"could":[53,71,170],"limit":[54],"accuracy.":[57],"Specifically,":[58],"foreground/background":[60],"imbalance":[61],"on":[62,119,177],"inaccurate":[66],"information":[67],"from":[68,103,143,153],"low-IoU":[69],"hinder":[72],"prediction.":[75],"In":[76],"paper,":[78],"we":[79],"propose":[80],"detector":[82,136,156],"called":[83],"Multi-Path":[85],"Detection":[86],"Calibration":[87],"Network":[88],"(PDC-Net)":[89],"address":[91],"problem.":[93],"The":[94,122],"key":[95],"idea":[96],"behind":[97],"PDC-Net":[98,116,126,163],"is":[99,117,127,184],"calibrating":[100],"results":[102,142],"R-CNN":[104],"by":[105],"considering":[106],"statistical":[108],"built":[118],"Faster":[120,138],"R-CNN.":[121],"core":[123],"component":[124],"multi-path":[129],"head,":[131],"which":[133,183],"base":[135,155],"(from":[137],"R-CNN)":[139],"generates":[140],"multiple":[147],"calibration":[148],"detectors":[149],"fix":[150],"incorrect":[151],"outputs":[152],"using":[157],"Experiments":[160],"reveal":[161],"that":[162],"can":[164],"boost":[165],"results.":[167],"Our":[168],"method":[169],"reach":[171],"83.1%":[172],"43.3%":[174],"mAP":[175],"respectively":[176],"PASCAL":[178],"VOC":[179],"MSCOCO":[181],"benchmarks,":[182],"comparable":[185],"several":[187],"state-of-the-art":[188],"methods.":[189]},"counts_by_year":[{"year":2025,"cited_by_count":12},{"year":2024,"cited_by_count":19},{"year":2023,"cited_by_count":27},{"year":2022,"cited_by_count":10},{"year":2021,"cited_by_count":6},{"year":2020,"cited_by_count":2}],"updated_date":"2026-03-27T05:58:40.876381","created_date":"2025-10-10T00:00:00"}