{"id":"https://openalex.org/W4321019073","doi":"https://doi.org/10.1142/s0218126623502328","title":"Iterative Fusion and Dual Enhancement for Accurate and Efficient Object Detection","display_name":"Iterative Fusion and Dual Enhancement for Accurate and Efficient Object Detection","publication_year":2023,"publication_date":"2023-02-17","ids":{"openalex":"https://openalex.org/W4321019073","doi":"https://doi.org/10.1142/s0218126623502328"},"language":"en","primary_location":{"id":"doi:10.1142/s0218126623502328","is_oa":false,"landing_page_url":"https://doi.org/10.1142/s0218126623502328","pdf_url":null,"source":{"id":"https://openalex.org/S167602672","display_name":"Journal of Circuits Systems and Computers","issn_l":"0218-1266","issn":["0218-1266","1793-6454"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319815","host_organization_name":"World Scientific","host_organization_lineage":["https://openalex.org/P4310319815"],"host_organization_lineage_names":["World Scientific"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Circuits, Systems and Computers","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/A5052133375","display_name":"Zhipeng Duan","orcid":"https://orcid.org/0000-0003-3466-8036"},"institutions":[{"id":"https://openalex.org/I16365422","display_name":"Hefei University of Technology","ror":"https://ror.org/02czkny70","country_code":"CN","type":"education","lineage":["https://openalex.org/I16365422"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhipeng Duan","raw_affiliation_strings":["Key Laboratory of Knowledge Engineering with Big Data, Ministry of Education, School of Computer Science and Information, Engineering, Hefei University of Technology, Hefei 230000, P. R. China"],"raw_orcid":"https://orcid.org/0000-0003-3466-8036","affiliations":[{"raw_affiliation_string":"Key Laboratory of Knowledge Engineering with Big Data, Ministry of Education, School of Computer Science and Information, Engineering, Hefei University of Technology, Hefei 230000, P. R. China","institution_ids":["https://openalex.org/I16365422"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5019348755","display_name":"Zhiqiang Zhang","orcid":"https://orcid.org/0000-0002-2408-366X"},"institutions":[{"id":"https://openalex.org/I197869895","display_name":"Anhui Medical University","ror":"https://ror.org/03xb04968","country_code":"CN","type":"education","lineage":["https://openalex.org/I197869895"]},{"id":"https://openalex.org/I4210149412","display_name":"Second Affiliated Hospital of Anhui Medical University","ror":"https://ror.org/047aw1y82","country_code":"CN","type":"healthcare","lineage":["https://openalex.org/I4210149412"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhiqiang Zhang","raw_affiliation_strings":["The Second Hospital of Anhui Medical University, Hefei 230000, P. R. China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"The Second Hospital of Anhui Medical University, Hefei 230000, P. R. China","institution_ids":["https://openalex.org/I4210149412","https://openalex.org/I197869895"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101608680","display_name":"Xinzhi Liu","orcid":null},"institutions":[{"id":"https://openalex.org/I16365422","display_name":"Hefei University of Technology","ror":"https://ror.org/02czkny70","country_code":"CN","type":"education","lineage":["https://openalex.org/I16365422"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xinzhi Liu","raw_affiliation_strings":["Key Laboratory of Knowledge Engineering with Big Data, Ministry of Education, School of Computer Science and Information, Engineering, Hefei University of Technology, Hefei 230000, P. R. China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Key Laboratory of Knowledge Engineering with Big Data, Ministry of Education, School of Computer Science and Information, Engineering, Hefei University of Technology, Hefei 230000, P. R. China","institution_ids":["https://openalex.org/I16365422"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5083354669","display_name":"Guoan Cheng","orcid":"https://orcid.org/0000-0002-0652-2534"},"institutions":[{"id":"https://openalex.org/I16365422","display_name":"Hefei University of Technology","ror":"https://ror.org/02czkny70","country_code":"CN","type":"education","lineage":["https://openalex.org/I16365422"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Guoan Cheng","raw_affiliation_strings":["Key Laboratory of Knowledge Engineering with Big Data, Ministry of Education, School of Computer Science and Information, Engineering, Hefei University of Technology, Hefei 230000, P. R. China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Key Laboratory of Knowledge Engineering with Big Data, Ministry of Education, School of Computer Science and Information, Engineering, Hefei University of Technology, Hefei 230000, P. R. China","institution_ids":["https://openalex.org/I16365422"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100777699","display_name":"Liangfeng Xu","orcid":"https://orcid.org/0000-0002-9298-3635"},"institutions":[{"id":"https://openalex.org/I16365422","display_name":"Hefei University of Technology","ror":"https://ror.org/02czkny70","country_code":"CN","type":"education","lineage":["https://openalex.org/I16365422"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Liangfeng Xu","raw_affiliation_strings":["Key Laboratory of Knowledge Engineering with Big Data, Ministry of Education, School of Computer Science and Information, Engineering, Hefei University of Technology, Hefei 230000, P. R. China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Key Laboratory of Knowledge Engineering with Big Data, Ministry of Education, School of Computer Science and Information, Engineering, Hefei University of Technology, Hefei 230000, P. R. China","institution_ids":["https://openalex.org/I16365422"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5023946047","display_name":"Shu Zhan","orcid":"https://orcid.org/0000-0002-5568-0264"},"institutions":[{"id":"https://openalex.org/I16365422","display_name":"Hefei University of Technology","ror":"https://ror.org/02czkny70","country_code":"CN","type":"education","lineage":["https://openalex.org/I16365422"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Shu Zhan","raw_affiliation_strings":["Key Laboratory of Knowledge Engineering with Big Data, Ministry of Education, School of Computer Science and Information, Engineering, Hefei University of Technology, Hefei 230000, P. R. China"],"raw_orcid":"https://orcid.org/0000-0002-5568-0264","affiliations":[{"raw_affiliation_string":"Key Laboratory of Knowledge Engineering with Big Data, Ministry of Education, School of Computer Science and Information, Engineering, Hefei University of Technology, Hefei 230000, P. R. China","institution_ids":["https://openalex.org/I16365422"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5023946047"],"corresponding_institution_ids":["https://openalex.org/I16365422"],"apc_list":null,"apc_paid":null,"fwci":0.1177,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.35659471,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":95},"biblio":{"volume":"32","issue":"13","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":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/T11307","display_name":"Domain Adaptation and Few-Shot Learning","score":0.9991000294685364,"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/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.9983999729156494,"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/feature","display_name":"Feature (linguistics)","score":0.6977072954177856},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6731060743331909},{"id":"https://openalex.org/keywords/merge","display_name":"Merge (version control)","score":0.6481573581695557},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.610504686832428},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5719914436340332},{"id":"https://openalex.org/keywords/pyramid","display_name":"Pyramid (geometry)","score":0.54261714220047},{"id":"https://openalex.org/keywords/detector","display_name":"Detector","score":0.5219361782073975},{"id":"https://openalex.org/keywords/object-detection","display_name":"Object detection","score":0.44798001646995544},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.21742966771125793},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.08530077338218689}],"concepts":[{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.6977072954177856},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6731060743331909},{"id":"https://openalex.org/C197129107","wikidata":"https://www.wikidata.org/wiki/Q1921621","display_name":"Merge (version control)","level":2,"score":0.6481573581695557},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.610504686832428},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5719914436340332},{"id":"https://openalex.org/C142575187","wikidata":"https://www.wikidata.org/wiki/Q3358290","display_name":"Pyramid (geometry)","level":2,"score":0.54261714220047},{"id":"https://openalex.org/C94915269","wikidata":"https://www.wikidata.org/wiki/Q1834857","display_name":"Detector","level":2,"score":0.5219361782073975},{"id":"https://openalex.org/C2776151529","wikidata":"https://www.wikidata.org/wiki/Q3045304","display_name":"Object detection","level":3,"score":0.44798001646995544},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.21742966771125793},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.08530077338218689},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.0},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1142/s0218126623502328","is_oa":false,"landing_page_url":"https://doi.org/10.1142/s0218126623502328","pdf_url":null,"source":{"id":"https://openalex.org/S167602672","display_name":"Journal of Circuits Systems and Computers","issn_l":"0218-1266","issn":["0218-1266","1793-6454"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319815","host_organization_name":"World Scientific","host_organization_lineage":["https://openalex.org/P4310319815"],"host_organization_lineage_names":["World Scientific"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Circuits, Systems and Computers","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G1737373097","display_name":null,"funder_award_id":"61371156","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":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":15,"referenced_works":["https://openalex.org/W1861492603","https://openalex.org/W2031489346","https://openalex.org/W2037227137","https://openalex.org/W2166761907","https://openalex.org/W2193145675","https://openalex.org/W2559655401","https://openalex.org/W2886753155","https://openalex.org/W2963420686","https://openalex.org/W2995464650","https://openalex.org/W3038103472","https://openalex.org/W3083652563","https://openalex.org/W3084133296","https://openalex.org/W3095864992","https://openalex.org/W3106250896","https://openalex.org/W3114980642"],"related_works":["https://openalex.org/W4234886518","https://openalex.org/W2389591058","https://openalex.org/W2486541857","https://openalex.org/W2382112581","https://openalex.org/W3124036233","https://openalex.org/W2108840191","https://openalex.org/W2759366996","https://openalex.org/W2366906938","https://openalex.org/W4206776094","https://openalex.org/W3121197456"],"abstract_inverted_index":{"Single":[0],"Shot":[1],"Multibox":[2],"Detector":[3],"(SSD)":[4],"uses":[5],"multi-scale":[6,47],"feature":[7,48,63,82,88,105,109,117,129],"maps":[8,64,118],"to":[9,28,37,123,146],"detect":[10],"and":[11,21,85,139,176,209],"recognize":[12],"objects,":[13],"which":[14,50,93],"considers":[15],"the":[16,39,43,46,70,97,100,104,108,128,132,137,143,161,170,188],"advantages":[17],"of":[18,45,57,69,99,207],"both":[19,205],"accuracy":[20,40,208],"speed,":[22],"but":[23],"it":[24],"is":[25,91,111],"still":[26],"limited":[27],"detecting":[29],"small-sized":[30],"objects.":[31],"Many":[32],"researchers":[33],"design":[34],"new":[35],"detectors":[36,203],"improve":[38,96,147],"by":[41],"changing":[42],"structure":[44],"pyramid":[49,110],"has":[51],"proved":[52],"very":[53],"useful.":[54],"But":[55],"most":[56],"them":[58],"only":[59],"simply":[60],"merge":[61],"several":[62],"without":[65],"making":[66],"full":[67],"use":[68],"close":[71],"connection":[72],"between":[73],"features":[74,133],"with":[75,119,187],"different":[76,120],"scales.":[77],"In":[78,103,127],"contrast,":[79],"a":[80],"novel":[81],"fusion":[83,106],"module":[84,90],"an":[86],"effective":[87],"enhancement":[89,130],"proposed,":[92],"can":[94,153],"significantly":[95],"performance":[98],"original":[101],"SSD.":[102],"module,":[107,131],"produced":[112],"through":[113],"iteratively":[114],"fusing":[115],"three":[116],"receptive":[121],"fields":[122],"obtain":[124],"contextual":[125],"information.":[126],"are":[134],"enhanced":[135],"along":[136],"channel":[138],"spatial":[140],"dimensions":[141],"at":[142],"same":[144],"time":[145],"their":[148],"expression":[149],"ability.":[150],"Our":[151],"network":[152],"achieve":[154],"82.5%":[155],"mean":[156],"Average":[157],"Precision":[158],"(mAP)":[159],"on":[160,169,179],"VOC":[162,171],"2007":[163],"[Formula:":[164,173,181,191],"see":[165,174,182,184,192],"text],":[166],"81.4%":[167],"mAP":[168,178],"2012":[172],"text]":[175],"34.8%":[177],"COCO":[180],"text]-[Formula:":[183],"text]2017,":[185],"respectively,":[186],"input":[189],"size":[190],"text].":[193],"Comparative":[194],"experiments":[195],"prove":[196],"that":[197],"our":[198],"method":[199],"outperforms":[200],"many":[201],"state-of-the-art":[202],"in":[204],"aspects":[206],"speed.":[210]},"counts_by_year":[{"year":2025,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
