{"id":"https://openalex.org/W3100179319","doi":"https://doi.org/10.1109/tcsvt.2020.3038649","title":"Efficient Selective Context Network for Accurate Object Detection","display_name":"Efficient Selective Context Network for Accurate Object Detection","publication_year":2020,"publication_date":"2020-11-17","ids":{"openalex":"https://openalex.org/W3100179319","doi":"https://doi.org/10.1109/tcsvt.2020.3038649","mag":"3100179319"},"language":"en","primary_location":{"id":"doi:10.1109/tcsvt.2020.3038649","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tcsvt.2020.3038649","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/A5101876317","display_name":"Jing Nie","orcid":"https://orcid.org/0000-0001-9872-9286"},"institutions":[{"id":"https://openalex.org/I162868743","display_name":"Tianjin University","ror":"https://ror.org/012tb2g32","country_code":"CN","type":"education","lineage":["https://openalex.org/I162868743"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jing Nie","raw_affiliation_strings":["Tianjin Key Laboratory of Brain-Inspired Intelligence Technology, School of Electrical and Information Engineering, Tianjin University, Tianjin, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Tianjin Key Laboratory of Brain-Inspired Intelligence Technology, School of Electrical and Information Engineering, Tianjin University, Tianjin, China","institution_ids":["https://openalex.org/I162868743"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5086887025","display_name":"Yanwei Pang","orcid":"https://orcid.org/0000-0001-6670-3727"},"institutions":[{"id":"https://openalex.org/I162868743","display_name":"Tianjin University","ror":"https://ror.org/012tb2g32","country_code":"CN","type":"education","lineage":["https://openalex.org/I162868743"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yanwei Pang","raw_affiliation_strings":["Tianjin Key Laboratory of Brain-Inspired Intelligence Technology, School of Electrical and Information Engineering, Tianjin University, Tianjin, China"],"raw_orcid":"https://orcid.org/0000-0001-6670-3727","affiliations":[{"raw_affiliation_string":"Tianjin Key Laboratory of Brain-Inspired Intelligence Technology, School of Electrical and Information Engineering, Tianjin University, Tianjin, China","institution_ids":["https://openalex.org/I162868743"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5035948567","display_name":"Shengjie Zhao","orcid":"https://orcid.org/0000-0002-6109-2522"},"institutions":[{"id":"https://openalex.org/I116953780","display_name":"Tongji University","ror":"https://ror.org/03rc6as71","country_code":"CN","type":"education","lineage":["https://openalex.org/I116953780"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shengjie Zhao","raw_affiliation_strings":["Key Laboratory of Embedded System and Service Computing, Tongji University, Shanghai, China","School of Software Engineering, Tongji University, Shanghai, China"],"raw_orcid":"https://orcid.org/0000-0002-6109-2522","affiliations":[{"raw_affiliation_string":"Key Laboratory of Embedded System and Service Computing, Tongji University, Shanghai, China","institution_ids":["https://openalex.org/I116953780"]},{"raw_affiliation_string":"School of Software Engineering, Tongji University, Shanghai, China","institution_ids":["https://openalex.org/I116953780"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5046605531","display_name":"Jungong Han","orcid":"https://orcid.org/0000-0003-4361-956X"},"institutions":[{"id":"https://openalex.org/I39555362","display_name":"University of Warwick","ror":"https://ror.org/01a77tt86","country_code":"GB","type":"education","lineage":["https://openalex.org/I39555362"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Jungong Han","raw_affiliation_strings":["Data Science Group, University of Warwick, Coventry, U.K"],"raw_orcid":"https://orcid.org/0000-0003-4361-956X","affiliations":[{"raw_affiliation_string":"Data Science Group, University of Warwick, Coventry, U.K","institution_ids":["https://openalex.org/I39555362"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5106943753","display_name":"Xuelong Li","orcid":"https://orcid.org/0000-0003-2924-946X"},"institutions":[{"id":"https://openalex.org/I17145004","display_name":"Northwestern Polytechnical University","ror":"https://ror.org/01y0j0j86","country_code":"CN","type":"education","lineage":["https://openalex.org/I17145004"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xuelong Li","raw_affiliation_strings":["School of Computer Science and Center for OPTical IMagery Analysis and Learning (OPTIMAL), Northwestern Polytechnical University, Xi\u2019an, China","School of Computer Science and Center for OPTical IMagery Analysis and Learning (OPTIMAL), Northwestern Polytechnical University, Xi'an, China"],"raw_orcid":"https://orcid.org/0000-0003-2924-946X","affiliations":[{"raw_affiliation_string":"School of Computer Science and Center for OPTical IMagery Analysis and Learning (OPTIMAL), Northwestern Polytechnical University, Xi\u2019an, China","institution_ids":["https://openalex.org/I17145004"]},{"raw_affiliation_string":"School of Computer Science and Center for OPTical IMagery Analysis and Learning (OPTIMAL), Northwestern Polytechnical University, Xi'an, China","institution_ids":["https://openalex.org/I17145004"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":2.6833,"has_fulltext":false,"cited_by_count":61,"citation_normalized_percentile":{"value":0.91969968,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":100},"biblio":{"volume":"31","issue":"9","first_page":"3456","last_page":"3468"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10036","display_name":"Advanced Neural Network Applications","score":0.9998000264167786,"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":0.9998000264167786,"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":0.9986000061035156,"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/T11605","display_name":"Visual Attention and Saliency Detection","score":0.9958999752998352,"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":0.7927530407905579},{"id":"https://openalex.org/keywords/object-detection","display_name":"Object detection","score":0.7357406616210938},{"id":"https://openalex.org/keywords/pascal","display_name":"Pascal (unit)","score":0.6948573589324951},{"id":"https://openalex.org/keywords/detector","display_name":"Detector","score":0.6177335381507874},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.5286766886711121},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.46641337871551514},{"id":"https://openalex.org/keywords/test-set","display_name":"Test set","score":0.4413049817085266},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.37056902050971985},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3475821018218994}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7927530407905579},{"id":"https://openalex.org/C2776151529","wikidata":"https://www.wikidata.org/wiki/Q3045304","display_name":"Object detection","level":3,"score":0.7357406616210938},{"id":"https://openalex.org/C75608658","wikidata":"https://www.wikidata.org/wiki/Q44395","display_name":"Pascal (unit)","level":2,"score":0.6948573589324951},{"id":"https://openalex.org/C94915269","wikidata":"https://www.wikidata.org/wiki/Q1834857","display_name":"Detector","level":2,"score":0.6177335381507874},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.5286766886711121},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.46641337871551514},{"id":"https://openalex.org/C169903167","wikidata":"https://www.wikidata.org/wiki/Q3985153","display_name":"Test set","level":2,"score":0.4413049817085266},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.37056902050971985},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3475821018218994},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","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/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tcsvt.2020.3038649","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tcsvt.2020.3038649","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/G11847706","display_name":null,"funder_award_id":"61632018","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G7564541889","display_name":null,"funder_award_id":"2018AAA0102802","funder_id":"https://openalex.org/F4320335777","funder_display_name":"National Key Research and Development Program of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320335777","display_name":"National Key Research and Development Program of China","ror":null}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":60,"referenced_works":["https://openalex.org/W639708223","https://openalex.org/W1536680647","https://openalex.org/W1677182931","https://openalex.org/W1861492603","https://openalex.org/W2031489346","https://openalex.org/W2102605133","https://openalex.org/W2117539524","https://openalex.org/W2194775991","https://openalex.org/W2490270993","https://openalex.org/W2565639579","https://openalex.org/W2579985080","https://openalex.org/W2598666589","https://openalex.org/W2613718673","https://openalex.org/W2751206209","https://openalex.org/W2752782242","https://openalex.org/W2796347433","https://openalex.org/W2798355657","https://openalex.org/W2804488433","https://openalex.org/W2808989867","https://openalex.org/W2884585870","https://openalex.org/W2886209409","https://openalex.org/W2888728082","https://openalex.org/W2896991173","https://openalex.org/W2906580494","https://openalex.org/W2917092108","https://openalex.org/W2921869645","https://openalex.org/W2934198733","https://openalex.org/W2950800384","https://openalex.org/W2962849972","https://openalex.org/W2962917547","https://openalex.org/W2963037989","https://openalex.org/W2963150697","https://openalex.org/W2963299996","https://openalex.org/W2963351448","https://openalex.org/W2963420686","https://openalex.org/W2963495494","https://openalex.org/W2963604034","https://openalex.org/W2963786238","https://openalex.org/W2963927307","https://openalex.org/W2964010755","https://openalex.org/W2964241181","https://openalex.org/W2979332630","https://openalex.org/W2982770724","https://openalex.org/W2984009799","https://openalex.org/W2993592664","https://openalex.org/W2997225633","https://openalex.org/W3012573144","https://openalex.org/W3036401722","https://openalex.org/W3102701618","https://openalex.org/W3106250896","https://openalex.org/W4293584584","https://openalex.org/W6620707391","https://openalex.org/W6714138976","https://openalex.org/W6722946945","https://openalex.org/W6732243160","https://openalex.org/W6750227808","https://openalex.org/W6751733626","https://openalex.org/W6753412334","https://openalex.org/W6760886313","https://openalex.org/W6785652829"],"related_works":["https://openalex.org/W4376620596","https://openalex.org/W3177249605","https://openalex.org/W2534152068","https://openalex.org/W3138508047","https://openalex.org/W1972515067","https://openalex.org/W1689909837","https://openalex.org/W4293054914","https://openalex.org/W4298525700","https://openalex.org/W2953362004","https://openalex.org/W2549121492"],"abstract_inverted_index":{"Single-stage":[0],"detectors":[1,20],"have":[2],"gained":[3],"great":[4],"attention":[5,87,118],"due":[6],"to":[7,39,58,96,129,140],"their":[8],"high":[9],"detection":[10,41],"accuracy":[11,42,147,235],"and":[12,84,100,111,124,142,163,215,236],"real-time":[13],"speed.":[14,237],"To":[15,50,104],"detect":[16],"multi-scale":[17,61],"objects,":[18],"single-stage":[19],"make":[21,105],"scale-aware":[22],"predictions":[23],"based":[24],"on":[25,158,178,221],"multiple":[26],"pyramid":[27,36],"layers.":[28],"However,":[29],"the":[30,40,116,146,179,186,196],"insufficient":[31],"context":[32,62,72,82,91,110,133],"exploration":[33],"in":[34,185,210],"shallow":[35],"layers":[37],"leads":[38],"of":[43,94,108,148,153,188,212],"small":[44],"objects":[45],"being":[46],"far":[47],"from":[48],"satisfactory.":[49],"tackle":[51],"this":[52,109],"problem,":[53],"we":[54,67],"propose":[55,68],"a":[56,85,167,222,227,231],"scheme":[57],"selectively":[59],"extract":[60,97],"with":[63,172,203],"attention-adaptive":[64],"weights.":[65],"Specifically,":[66],"an":[69,80],"efficient":[70],"selective":[71,132],"network":[73],"for":[74],"accurate":[75],"object":[76,149],"detection.":[77,150],"It":[78],"incorporates":[79],"enhanced":[81,90],"module":[83,92],"triple":[86,117],"module.":[88],"The":[89,135,151],"consists":[93],"multi-branches":[95],"original-scale,":[98],"small-scale,":[99],"large-scale":[101],"contextual":[102],"information.":[103],"full":[106],"use":[107],"filter":[112],"out":[113,131],"noisy":[114],"information,":[115],"module,":[119],"which":[120],"contains":[121],"global-level,":[122],"channel-level,":[123],"spatial-level":[125],"attentions,":[126],"is":[127,156,218],"introduced":[128],"carry":[130],"fusion.":[134],"two":[136,159],"modules":[137],"are":[138],"easy":[139],"implement":[141],"can":[143],"efficiently":[144],"boost":[145],"performance":[152,214],"our":[154,170,201],"method":[155],"validated":[157],"benchmarks:":[160],"PASCAL":[161],"VOC":[162,181],"MS":[164,192,197],"COCO.":[165],"For":[166],"512\u00d7512":[168],"input,":[169],"detector":[171,202],"VGG16":[173],"achieves":[174,230],"competitive":[175],"results":[176],"(80.9":[177],"Pascal":[180],"2012":[182],"test":[183],"set":[184],"case":[187],"single-scale":[189],"inference":[190],"without":[191],"COCO":[193,198],"pre-training).":[194],"On":[195],"test-dev":[199],"set,":[200],"ResNet101":[204],"outperforms":[205],"RetinaNet500":[206],"by":[207],"2.5%":[208],"AP":[209],"terms":[211],"overall":[213],"its":[216],"speed":[217],"48":[219],"milliseconds":[220],"Titan":[223],"XP":[224],"GPU.":[225],"As":[226],"result,":[228],"ESCNet":[229],"better":[232],"trade-off":[233],"between":[234]},"counts_by_year":[{"year":2026,"cited_by_count":3},{"year":2025,"cited_by_count":15},{"year":2024,"cited_by_count":15},{"year":2023,"cited_by_count":12},{"year":2022,"cited_by_count":8},{"year":2021,"cited_by_count":7},{"year":2020,"cited_by_count":1}],"updated_date":"2026-03-27T05:58:40.876381","created_date":"2025-10-10T00:00:00"}
