{"id":"https://openalex.org/W2902609671","doi":"https://doi.org/10.1109/icpr.2018.8545369","title":"Densely Connected Single-Shot Detector","display_name":"Densely Connected Single-Shot Detector","publication_year":2018,"publication_date":"2018-08-01","ids":{"openalex":"https://openalex.org/W2902609671","doi":"https://doi.org/10.1109/icpr.2018.8545369","mag":"2902609671"},"language":"en","primary_location":{"id":"doi:10.1109/icpr.2018.8545369","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icpr.2018.8545369","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 24th International Conference on Pattern Recognition (ICPR)","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/A5101814010","display_name":"Pei Xu","orcid":"https://orcid.org/0000-0002-1582-7831"},"institutions":[{"id":"https://openalex.org/I4210112150","display_name":"Institute of Automation","ror":"https://ror.org/022c3hy66","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210112150"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Pei Xu","raw_affiliation_strings":["CRIPAC & NLPR, CASIA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"CRIPAC & NLPR, CASIA","institution_ids":["https://openalex.org/I4210112150"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5003662421","display_name":"Xin Zhao","orcid":"https://orcid.org/0000-0002-7660-9897"},"institutions":[{"id":"https://openalex.org/I4210165038","display_name":"University of Chinese Academy of Sciences","ror":"https://ror.org/05qbk4x57","country_code":"CN","type":"education","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210165038"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xin Zhao","raw_affiliation_strings":["University of Chinese Academy of Sciences"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Chinese Academy of Sciences","institution_ids":["https://openalex.org/I4210165038"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5028693655","display_name":"Kaiqi Huang","orcid":"https://orcid.org/0000-0002-2677-9273"},"institutions":[{"id":"https://openalex.org/I4210165038","display_name":"University of Chinese Academy of Sciences","ror":"https://ror.org/05qbk4x57","country_code":"CN","type":"education","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210165038"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Kaiqi Huang","raw_affiliation_strings":["University of Chinese Academy of Sciences"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Chinese Academy of Sciences","institution_ids":["https://openalex.org/I4210165038"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.106,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.48114805,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"2178","last_page":"2183"},"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":0.9991000294685364,"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":0.9983999729156494,"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":0.8257334232330322},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7846877574920654},{"id":"https://openalex.org/keywords/object-detection","display_name":"Object detection","score":0.6361045837402344},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6336606740951538},{"id":"https://openalex.org/keywords/abstraction","display_name":"Abstraction","score":0.6131808757781982},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.6019516587257385},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5322560667991638},{"id":"https://openalex.org/keywords/detector","display_name":"Detector","score":0.527091383934021},{"id":"https://openalex.org/keywords/feature-learning","display_name":"Feature learning","score":0.4872523844242096},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.46742695569992065},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.46262598037719727},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.4164128303527832}],"concepts":[{"id":"https://openalex.org/C75608658","wikidata":"https://www.wikidata.org/wiki/Q44395","display_name":"Pascal (unit)","level":2,"score":0.8257334232330322},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7846877574920654},{"id":"https://openalex.org/C2776151529","wikidata":"https://www.wikidata.org/wiki/Q3045304","display_name":"Object detection","level":3,"score":0.6361045837402344},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6336606740951538},{"id":"https://openalex.org/C124304363","wikidata":"https://www.wikidata.org/wiki/Q673661","display_name":"Abstraction","level":2,"score":0.6131808757781982},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.6019516587257385},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5322560667991638},{"id":"https://openalex.org/C94915269","wikidata":"https://www.wikidata.org/wiki/Q1834857","display_name":"Detector","level":2,"score":0.527091383934021},{"id":"https://openalex.org/C59404180","wikidata":"https://www.wikidata.org/wiki/Q17013334","display_name":"Feature learning","level":2,"score":0.4872523844242096},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.46742695569992065},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.46262598037719727},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.4164128303527832},{"id":"https://openalex.org/C94625758","wikidata":"https://www.wikidata.org/wiki/Q7163","display_name":"Politics","level":2,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"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/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","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},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"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/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icpr.2018.8545369","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icpr.2018.8545369","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 24th International Conference on Pattern Recognition (ICPR)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"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":29,"referenced_works":["https://openalex.org/W639708223","https://openalex.org/W1536680647","https://openalex.org/W1584689566","https://openalex.org/W1686810756","https://openalex.org/W2031489346","https://openalex.org/W2097117768","https://openalex.org/W2117539524","https://openalex.org/W2194775991","https://openalex.org/W2307770531","https://openalex.org/W2570343428","https://openalex.org/W2579985080","https://openalex.org/W2609144136","https://openalex.org/W2613718673","https://openalex.org/W2743706233","https://openalex.org/W2950800384","https://openalex.org/W2962747122","https://openalex.org/W2962917547","https://openalex.org/W2963037989","https://openalex.org/W2963058975","https://openalex.org/W2963351448","https://openalex.org/W2963516811","https://openalex.org/W2964166828","https://openalex.org/W3106250896","https://openalex.org/W6620707391","https://openalex.org/W6634866521","https://openalex.org/W6697925102","https://openalex.org/W6714138976","https://openalex.org/W6740164494","https://openalex.org/W6785652829"],"related_works":["https://openalex.org/W3177249605","https://openalex.org/W4376620596","https://openalex.org/W2534152068","https://openalex.org/W4299545679","https://openalex.org/W2951433694","https://openalex.org/W1972515067","https://openalex.org/W2549121492","https://openalex.org/W1689909837","https://openalex.org/W4293054914","https://openalex.org/W3138508047"],"abstract_inverted_index":{"One-stage":[0],"object":[1,110],"detection":[2,111],"approach":[3],"which":[4,26,76],"utilizes":[5],"multi-scale":[6],"feature":[7,24,45,52,88,104],"maps":[8,25,53],"to":[9,35,55,60,81,97],"predict":[10],"objects":[11,32,41],"is":[12,49],"currently":[13],"the":[14,22,43,61,78,83,94,99,115,130,138],"best":[15],"real-time":[16],"detector.":[17],"However,":[18],"in":[19],"this":[20,69],"approach,":[21],"high-resolution":[23,87,103],"are":[27,33],"responsible":[28],"for":[29],"detecting":[30],"small":[31],"harder":[34],"learn":[36],"a":[37,73],"proper":[38],"abstraction":[39],"of":[40,86,102,117],"than":[42],"low-resolution":[44],"maps.":[46,89,105],"The":[47],"problem":[48,85],"that":[50],"these":[51],"have":[54],"transform":[56],"sufficient":[57],"low-level":[58],"information":[59],"next":[62],"layer":[63],"while":[64],"learning":[65,84],"high-level":[66],"abstraction.":[67],"In":[68,90,120],"paper,":[70],"we":[71,92],"develop":[72],"transformation":[74],"module":[75,96],"adopts":[77],"dense":[79],"structure":[80],"simplify":[82],"addition,":[91],"utilize":[93],"inception":[95],"enrich":[98],"representation":[100],"power":[101],"Extensive":[106],"experiments":[107],"on":[108,122,137,145],"most":[109],"datasets":[112],"clearly":[113],"demonstrate":[114],"effectiveness":[116],"our":[118,126],"method.":[119],"particular,":[121],"PASCAL":[123],"VOC":[124],"2007/2012,":[125],"method":[127],"outperforms":[128],"all":[129],"existing":[131],"one-stage":[132],"methods.":[133],"Our":[134],"model":[135],"based":[136],"VGG-16":[139],"network":[140],"also":[141],"achieves":[142],"competitive":[143],"result":[144],"MS":[146],"COCO.":[147]},"counts_by_year":[{"year":2019,"cited_by_count":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
