{"id":"https://openalex.org/W3089513971","doi":"https://doi.org/10.1109/ijcnn48605.2020.9207565","title":"Selective Feature Network for Object Detection","display_name":"Selective Feature Network for Object Detection","publication_year":2020,"publication_date":"2020-07-01","ids":{"openalex":"https://openalex.org/W3089513971","doi":"https://doi.org/10.1109/ijcnn48605.2020.9207565","mag":"3089513971"},"language":"en","primary_location":{"id":"doi:10.1109/ijcnn48605.2020.9207565","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn48605.2020.9207565","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 International Joint Conference on Neural Networks (IJCNN)","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/A5020286040","display_name":"Yuning Cui","orcid":"https://orcid.org/0000-0002-1279-5539"},"institutions":[{"id":"https://openalex.org/I170215575","display_name":"National University of Defense Technology","ror":"https://ror.org/05d2yfz11","country_code":"CN","type":"education","lineage":["https://openalex.org/I170215575"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Yuning Cui","raw_affiliation_strings":["College of Computer, National University of Defense Technology, Changsha, China"],"affiliations":[{"raw_affiliation_string":"College of Computer, National University of Defense Technology, Changsha, China","institution_ids":["https://openalex.org/I170215575"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5019758816","display_name":"Dianxi Shi","orcid":"https://orcid.org/0000-0002-8112-371X"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Dianxi Shi","raw_affiliation_strings":["Artificial Intelligence Research Center (AIRC), National Innovation Institute of Defense Technology (NIIDT), Beijing, China","Tianjin Artificial Intelligence Innovation Center (TAIIC), Tianjin, China"],"affiliations":[{"raw_affiliation_string":"Artificial Intelligence Research Center (AIRC), National Innovation Institute of Defense Technology (NIIDT), Beijing, China","institution_ids":[]},{"raw_affiliation_string":"Tianjin Artificial Intelligence Innovation Center (TAIIC), Tianjin, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100325607","display_name":"Yongjun Zhang","orcid":"https://orcid.org/0000-0002-7534-1219"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Yongjun Zhang","raw_affiliation_strings":["Artificial Intelligence Research Center (AIRC), National Innovation Institute of Defense Technology (NIIDT), Beijing, China"],"affiliations":[{"raw_affiliation_string":"Artificial Intelligence Research Center (AIRC), National Innovation Institute of Defense Technology (NIIDT), Beijing, China","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5083404835","display_name":"Qianchong Sun","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Qianchong Sun","raw_affiliation_strings":["Artificial Intelligence Research Center (AIRC), National Innovation Institute of Defense Technology (NIIDT), Beijing, China"],"affiliations":[{"raw_affiliation_string":"Artificial Intelligence Research Center (AIRC), National Innovation Institute of Defense Technology (NIIDT), Beijing, China","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5020286040"],"corresponding_institution_ids":["https://openalex.org/I170215575"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.10385158,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"8"},"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/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.9968000054359436,"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/T10689","display_name":"Remote-Sensing Image Classification","score":0.9929999709129333,"subfield":{"id":"https://openalex.org/subfields/2214","display_name":"Media Technology"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7892647981643677},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.7378681898117065},{"id":"https://openalex.org/keywords/semantic-feature","display_name":"Semantic feature","score":0.6101459264755249},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5659323334693909},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.5483747124671936},{"id":"https://openalex.org/keywords/object-detection","display_name":"Object detection","score":0.5441516637802124},{"id":"https://openalex.org/keywords/pascal","display_name":"Pascal (unit)","score":0.5437064170837402},{"id":"https://openalex.org/keywords/semantics","display_name":"Semantics (computer science)","score":0.5155894160270691},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5000836849212646},{"id":"https://openalex.org/keywords/pyramid","display_name":"Pyramid (geometry)","score":0.45965662598609924}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7892647981643677},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.7378681898117065},{"id":"https://openalex.org/C2781122975","wikidata":"https://www.wikidata.org/wiki/Q16928266","display_name":"Semantic feature","level":2,"score":0.6101459264755249},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5659323334693909},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.5483747124671936},{"id":"https://openalex.org/C2776151529","wikidata":"https://www.wikidata.org/wiki/Q3045304","display_name":"Object detection","level":3,"score":0.5441516637802124},{"id":"https://openalex.org/C75608658","wikidata":"https://www.wikidata.org/wiki/Q44395","display_name":"Pascal (unit)","level":2,"score":0.5437064170837402},{"id":"https://openalex.org/C184337299","wikidata":"https://www.wikidata.org/wiki/Q1437428","display_name":"Semantics (computer science)","level":2,"score":0.5155894160270691},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5000836849212646},{"id":"https://openalex.org/C142575187","wikidata":"https://www.wikidata.org/wiki/Q3358290","display_name":"Pyramid (geometry)","level":2,"score":0.45965662598609924},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/ijcnn48605.2020.9207565","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn48605.2020.9207565","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 International Joint Conference on Neural Networks (IJCNN)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Sustainable cities and communities","score":0.4300000071525574,"id":"https://metadata.un.org/sdg/11"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":59,"referenced_works":["https://openalex.org/W8437397","https://openalex.org/W639708223","https://openalex.org/W1536680647","https://openalex.org/W1677182931","https://openalex.org/W1836465849","https://openalex.org/W1861492603","https://openalex.org/W2031489346","https://openalex.org/W2088049833","https://openalex.org/W2102605133","https://openalex.org/W2109255472","https://openalex.org/W2194775991","https://openalex.org/W2288122362","https://openalex.org/W2412782625","https://openalex.org/W2565639579","https://openalex.org/W2579985080","https://openalex.org/W2604260814","https://openalex.org/W2612445135","https://openalex.org/W2613718673","https://openalex.org/W2752782242","https://openalex.org/W2773495332","https://openalex.org/W2798355657","https://openalex.org/W2884585870","https://openalex.org/W2888728082","https://openalex.org/W2894878591","https://openalex.org/W2899771611","https://openalex.org/W2922509574","https://openalex.org/W2949117887","https://openalex.org/W2950800384","https://openalex.org/W2962721361","https://openalex.org/W2962917547","https://openalex.org/W2963037989","https://openalex.org/W2963125010","https://openalex.org/W2963150697","https://openalex.org/W2963351448","https://openalex.org/W2963420686","https://openalex.org/W2963446712","https://openalex.org/W2963786238","https://openalex.org/W2963857746","https://openalex.org/W2963903399","https://openalex.org/W2964010755","https://openalex.org/W2982769033","https://openalex.org/W3103430557","https://openalex.org/W3106250896","https://openalex.org/W4297775537","https://openalex.org/W6600324250","https://openalex.org/W6631782140","https://openalex.org/W6638667902","https://openalex.org/W6639102338","https://openalex.org/W6714138976","https://openalex.org/W6732243160","https://openalex.org/W6737664043","https://openalex.org/W6746681575","https://openalex.org/W6746776673","https://openalex.org/W6753412334","https://openalex.org/W6753997096","https://openalex.org/W6755284672","https://openalex.org/W6756040250","https://openalex.org/W6785652829","https://openalex.org/W6785933756"],"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":{"Scale":[0],"variation":[1],"is":[2,46,115,132],"one":[3],"of":[4,26,85,100],"the":[5,19,23,35,54,60,65,98,136,164],"important":[6],"challenges":[7],"in":[8],"object":[9],"detection.":[10],"Many":[11],"state-of-the-art":[12],"objectors":[13],"tackle":[14],"this":[15,42,70],"problem":[16],"by":[17,58,125],"utilizing":[18],"feature":[20,28,50,57,92,113,131],"pyramids.":[21],"However,":[22],"current":[24],"methods":[25],"producing":[27],"pyramids":[29,102],"are":[30,141],"still":[31],"inefficient":[32],"to":[33,47,117],"integrate":[34],"semantic":[36],"information":[37],"from":[38],"other":[39],"layers.":[40],"In":[41,107],"work,":[43],"our":[44,158],"motivation":[45],"build":[48],"a":[49,74,86,90,104,111,154],"pyramid":[51],"efficiently":[52],"with":[53,109,153],"selected":[55],"contextual":[56,130],"integrating":[59],"informative":[61],"features":[62,119],"and":[63,89,123,146],"suppressing":[64],"useless":[66],"ones.":[67],"To":[68],"achieve":[69],"goal,":[71],"we":[72],"propose":[73],"novel":[75],"single-stage":[76],"detection":[77],"network":[78],"termed":[79],"Selective":[80],"Feature":[81],"Network(SFNet)":[82],"which":[83],"consists":[84],"semantic-enhanced":[87,95],"module":[88,96,114],"selective":[91,112],"module.":[93],"The":[94,128],"improves":[97],"semantics":[99],"basic":[101],"via":[103],"lightweight":[105],"architecture.":[106],"conjunction":[108],"that,":[110,152],"employed":[116],"combine":[118],"across":[120],"different":[121],"channels":[122],"scales":[124],"attention":[126],"mechanism.":[127],"resulting":[129],"then":[133],"injected":[134],"into":[135],"pyramidal":[137],"features.":[138],"Comprehensive":[139],"experiments":[140],"performed":[142],"on":[143],"PASCAL":[144],"VOC":[145],"MS":[147],"COCO":[148],"datasets.":[149],"Results":[150],"demonstrate":[151],"VGG16":[155],"based":[156],"SFNet,":[157],"approach":[159],"obtains":[160],"significant":[161],"improvements":[162],"over":[163],"competitors":[165],"without":[166],"losing":[167],"real-time":[168],"processing":[169],"speed.":[170]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}