{"id":"https://openalex.org/W3010207074","doi":"https://doi.org/10.1145/3374587.3374601","title":"Q-DFN","display_name":"Q-DFN","publication_year":2019,"publication_date":"2019-12-06","ids":{"openalex":"https://openalex.org/W3010207074","doi":"https://doi.org/10.1145/3374587.3374601","mag":"3010207074"},"language":"en","primary_location":{"id":"doi:10.1145/3374587.3374601","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3374587.3374601","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2019 3rd International Conference on Computer Science and Artificial Intelligence","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/A5016525205","display_name":"Kai Ren","orcid":"https://orcid.org/0000-0003-4704-5743"},"institutions":[{"id":"https://openalex.org/I59028903","display_name":"Ocean University of China","ror":"https://ror.org/04rdtx186","country_code":"CN","type":"education","lineage":["https://openalex.org/I59028903"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Ren Kai","raw_affiliation_strings":["Ocean University of China"],"affiliations":[{"raw_affiliation_string":"Ocean University of China","institution_ids":["https://openalex.org/I59028903"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101054255","display_name":"Yaguang Yin","orcid":null},"institutions":[{"id":"https://openalex.org/I4210111085","display_name":"Academy of Broadcasting Science","ror":"https://ror.org/01z4nez64","country_code":"CN","type":"government","lineage":["https://openalex.org/I4210111085"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yin Yaguang","raw_affiliation_strings":["Academy of broadcasting science, beijing china"],"affiliations":[{"raw_affiliation_string":"Academy of broadcasting science, beijing china","institution_ids":["https://openalex.org/I4210111085"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5105988310","display_name":"Mu Yi","orcid":null},"institutions":[{"id":"https://openalex.org/I59028903","display_name":"Ocean University of China","ror":"https://ror.org/04rdtx186","country_code":"CN","type":"education","lineage":["https://openalex.org/I59028903"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Mu Yi","raw_affiliation_strings":["Ocean University of China"],"affiliations":[{"raw_affiliation_string":"Ocean University of China","institution_ids":["https://openalex.org/I59028903"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5016525205"],"corresponding_institution_ids":["https://openalex.org/I59028903"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.18754393,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"39","issue":null,"first_page":"88","last_page":"92"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10036","display_name":"Advanced Neural Network Applications","score":0.9821000099182129,"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":0.9821000099182129,"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/T10052","display_name":"Medical Image Segmentation Techniques","score":0.9771000146865845,"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/T10775","display_name":"Generative Adversarial Networks and Image Synthesis","score":0.9729999899864197,"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":0.4710542857646942}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4710542857646942}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3374587.3374601","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3374587.3374601","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2019 3rd International Conference on Computer Science and Artificial Intelligence","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.4099999964237213,"display_name":"Peace, Justice and strong institutions","id":"https://metadata.un.org/sdg/16"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":54,"referenced_works":["https://openalex.org/W639708223","https://openalex.org/W1483870316","https://openalex.org/W1487583988","https://openalex.org/W1536680647","https://openalex.org/W1594098193","https://openalex.org/W1757796397","https://openalex.org/W1799366690","https://openalex.org/W1817277359","https://openalex.org/W1903029394","https://openalex.org/W1923115158","https://openalex.org/W1923697677","https://openalex.org/W2088049833","https://openalex.org/W2097117768","https://openalex.org/W2109255472","https://openalex.org/W2117287331","https://openalex.org/W2117539524","https://openalex.org/W2121863487","https://openalex.org/W2147800946","https://openalex.org/W2163605009","https://openalex.org/W2194775991","https://openalex.org/W2274287116","https://openalex.org/W2288122362","https://openalex.org/W2395611524","https://openalex.org/W2407521645","https://openalex.org/W2549139847","https://openalex.org/W2557728737","https://openalex.org/W2565639579","https://openalex.org/W2579985080","https://openalex.org/W2796347433","https://openalex.org/W2884561390","https://openalex.org/W2950800384","https://openalex.org/W2963037989","https://openalex.org/W2963542991","https://openalex.org/W2963690996","https://openalex.org/W2963996492","https://openalex.org/W2964121718","https://openalex.org/W2964350391","https://openalex.org/W3106250896","https://openalex.org/W4293584584","https://openalex.org/W4308909683","https://openalex.org/W6631782140","https://openalex.org/W6635419406","https://openalex.org/W6637967152","https://openalex.org/W6638444622","https://openalex.org/W6638480814","https://openalex.org/W6639927594","https://openalex.org/W6674914833","https://openalex.org/W6687483927","https://openalex.org/W6730903564","https://openalex.org/W6732243160","https://openalex.org/W6742348326","https://openalex.org/W6742650655","https://openalex.org/W6750227808","https://openalex.org/W6785652829"],"related_works":["https://openalex.org/W2748952813","https://openalex.org/W2390279801","https://openalex.org/W2358668433","https://openalex.org/W2376932109","https://openalex.org/W2001405890","https://openalex.org/W2382290278","https://openalex.org/W2478288626","https://openalex.org/W4391913857","https://openalex.org/W2350741829","https://openalex.org/W2530322880"],"abstract_inverted_index":{"Traditional":[0],"approaches":[1,20],"to":[2,26,148],"each":[3],"image":[4],"simply":[5],"depend":[6],"on":[7],"detectors":[8],"of":[9,44,122,156,160],"the":[10,14,28,39,42,50,55,58,78,81,84,87,94,103,107,112,120,123,129,133,139,145,150,158],"classification":[11,121],"network":[12,73,79],"and":[13,111,137],"bounding":[15,104],"box":[16,105],"regression":[17,109],"network.":[18],"These":[19],"are,":[21],"although":[22],"working":[23],"well,":[24],"fail":[25],"exploit":[27],"satisfied":[29],"accuracy":[30,40],"for":[31,41,49,74,102,119],"specific":[32],"object":[33,75,134],"detection":[34,135],"or":[35],"many":[36],"methods":[37],"sacrifice":[38],"speed":[43],"real-time":[45],"detection.":[46,76],"The":[47,125,165],"reason":[48],"unsatisfied":[51],"results":[52],"is":[53,61,100,117,170],"that":[54],"relationship":[56,141],"between":[57,142],"various":[59],"objects":[60,143],"not":[62],"effectively":[63],"considered.":[64],"In":[65],"this":[66],"paper,":[67],"we":[68],"propose":[69],"a":[70,154],"decisive":[71],"fusion":[72,126],"After":[77],"extracts":[80],"features":[82],"from":[83],"backbone":[85],"first,":[86],"last":[88],"five":[89],"layers":[90],"are":[91,162],"treated":[92],"as":[93],"feature":[95],"pyramid":[96],"structure.":[97],"Each":[98],"layer":[99],"responsible":[101,118],"by":[106],"border":[108],"algorithm,":[110],"Deep":[113],"Q-Learning":[114],"(DQN)":[115],"algorithm":[116,131,147],"target.":[124],"function":[127],"connects":[128],"DQN":[130,146,161],"with":[132],"network,":[136],"considers":[138],"selection":[140],"through":[144],"improve":[149],"overall":[151],"accuracy.":[152],"Through":[153],"lot":[155],"experiments,":[157],"parameters":[159],"better":[163,171],"adjusted.":[164],"experiments":[166],"show":[167],"our":[168],"method":[169],"than":[172],"tradition":[173],"approaches.":[174]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2020-03-13T00:00:00"}
