{"id":"https://openalex.org/W2941811594","doi":"https://doi.org/10.1109/access.2019.2908630","title":"Foreground Feature Enhancement for Object Detection","display_name":"Foreground Feature Enhancement for Object Detection","publication_year":2019,"publication_date":"2019-01-01","ids":{"openalex":"https://openalex.org/W2941811594","doi":"https://doi.org/10.1109/access.2019.2908630","mag":"2941811594"},"language":"en","primary_location":{"id":"doi:10.1109/access.2019.2908630","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2019.2908630","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/8600701/08684952.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"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 Access","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://ieeexplore.ieee.org/ielx7/6287639/8600701/08684952.pdf","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5061737646","display_name":"Shenwang Jiang","orcid":"https://orcid.org/0000-0002-0914-4954"},"institutions":[{"id":"https://openalex.org/I125839683","display_name":"Beijing Institute of Technology","ror":"https://ror.org/01skt4w74","country_code":"CN","type":"education","lineage":["https://openalex.org/I125839683","https://openalex.org/I890469752"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shenwang Jiang","raw_affiliation_strings":["Beijing Institute of Technology, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0002-0914-4954","affiliations":[{"raw_affiliation_string":"Beijing Institute of Technology, Beijing, China","institution_ids":["https://openalex.org/I125839683"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5113849748","display_name":"Tingfa Xu","orcid":null},"institutions":[{"id":"https://openalex.org/I125839683","display_name":"Beijing Institute of Technology","ror":"https://ror.org/01skt4w74","country_code":"CN","type":"education","lineage":["https://openalex.org/I125839683","https://openalex.org/I890469752"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Tingfa Xu","raw_affiliation_strings":["Beijing Institute of Technology, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Beijing Institute of Technology, Beijing, China","institution_ids":["https://openalex.org/I125839683"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100448292","display_name":"Jianan Li","orcid":"https://orcid.org/0000-0002-6936-9485"},"institutions":[{"id":"https://openalex.org/I125839683","display_name":"Beijing Institute of Technology","ror":"https://ror.org/01skt4w74","country_code":"CN","type":"education","lineage":["https://openalex.org/I125839683","https://openalex.org/I890469752"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jianan Li","raw_affiliation_strings":["Beijing Institute of Technology, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Beijing Institute of Technology, Beijing, China","institution_ids":["https://openalex.org/I125839683"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5040995630","display_name":"Ziyi Shen","orcid":"https://orcid.org/0000-0001-6867-1909"},"institutions":[{"id":"https://openalex.org/I125839683","display_name":"Beijing Institute of Technology","ror":"https://ror.org/01skt4w74","country_code":"CN","type":"education","lineage":["https://openalex.org/I125839683","https://openalex.org/I890469752"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ziyi Shen","raw_affiliation_strings":["Beijing Institute of Technology, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Beijing Institute of Technology, Beijing, China","institution_ids":["https://openalex.org/I125839683"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100709302","display_name":"Jie Guo","orcid":"https://orcid.org/0000-0001-7164-8857"},"institutions":[{"id":"https://openalex.org/I125839683","display_name":"Beijing Institute of Technology","ror":"https://ror.org/01skt4w74","country_code":"CN","type":"education","lineage":["https://openalex.org/I125839683","https://openalex.org/I890469752"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jie Guo","raw_affiliation_strings":["Beijing Institute of Technology, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Beijing Institute of Technology, Beijing, China","institution_ids":["https://openalex.org/I125839683"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I125839683"],"apc_list":{"value":1850,"currency":"USD","value_usd":1850},"apc_paid":{"value":1850,"currency":"USD","value_usd":1850},"fwci":0.0993,"has_fulltext":true,"cited_by_count":2,"citation_normalized_percentile":{"value":0.40511103,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":"7","issue":null,"first_page":"49223","last_page":"49231"},"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/T10331","display_name":"Video Surveillance and Tracking Methods","score":0.9987999796867371,"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":0.9973999857902527,"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/pascal","display_name":"Pascal (unit)","score":0.8394365310668945},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8060990571975708},{"id":"https://openalex.org/keywords/object-detection","display_name":"Object detection","score":0.780318558216095},{"id":"https://openalex.org/keywords/minimum-bounding-box","display_name":"Minimum bounding box","score":0.7013306617736816},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.6982900500297546},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6890743970870972},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5491086840629578},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.5253540873527527},{"id":"https://openalex.org/keywords/bounding-overwatch","display_name":"Bounding overwatch","score":0.5127526521682739},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.48257604241371155},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.4511328637599945},{"id":"https://openalex.org/keywords/focus","display_name":"Focus (optics)","score":0.4454013705253601},{"id":"https://openalex.org/keywords/detector","display_name":"Detector","score":0.43948304653167725},{"id":"https://openalex.org/keywords/object","display_name":"Object (grammar)","score":0.41603440046310425},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.09879261255264282}],"concepts":[{"id":"https://openalex.org/C75608658","wikidata":"https://www.wikidata.org/wiki/Q44395","display_name":"Pascal (unit)","level":2,"score":0.8394365310668945},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8060990571975708},{"id":"https://openalex.org/C2776151529","wikidata":"https://www.wikidata.org/wiki/Q3045304","display_name":"Object detection","level":3,"score":0.780318558216095},{"id":"https://openalex.org/C147037132","wikidata":"https://www.wikidata.org/wiki/Q6865426","display_name":"Minimum bounding box","level":3,"score":0.7013306617736816},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.6982900500297546},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6890743970870972},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5491086840629578},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.5253540873527527},{"id":"https://openalex.org/C63584917","wikidata":"https://www.wikidata.org/wiki/Q333286","display_name":"Bounding overwatch","level":2,"score":0.5127526521682739},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.48257604241371155},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.4511328637599945},{"id":"https://openalex.org/C192209626","wikidata":"https://www.wikidata.org/wiki/Q190909","display_name":"Focus (optics)","level":2,"score":0.4454013705253601},{"id":"https://openalex.org/C94915269","wikidata":"https://www.wikidata.org/wiki/Q1834857","display_name":"Detector","level":2,"score":0.43948304653167725},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.41603440046310425},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.09879261255264282},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","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/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/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/access.2019.2908630","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2019.2908630","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/8600701/08684952.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"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 Access","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:9748855a6efc4e4295b8e77b6915aa00","is_oa":false,"landing_page_url":"https://doaj.org/article/9748855a6efc4e4295b8e77b6915aa00","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"IEEE Access, Vol 7, Pp 49223-49231 (2019)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1109/access.2019.2908630","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2019.2908630","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/8600701/08684952.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"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 Access","raw_type":"journal-article"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/10","score":0.5400000214576721,"display_name":"Reduced inequalities"},{"id":"https://metadata.un.org/sdg/16","score":0.46000000834465027,"display_name":"Peace, Justice and strong institutions"}],"awards":[{"id":"https://openalex.org/G2828580652","display_name":null,"funder_award_id":"61527802","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G3496216929","display_name":"\u66f2\u9762\u5149\u5b66\u591a\u5b54\u5f84\u6210\u50cf\u53ca\u8d85\u5206\u8fa8\u91cd\u5efa\u7406\u8bba\u548c\u6280\u672f\u7814\u7a76","funder_award_id":"61471043","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G6109479118","display_name":"\u4eba\u7c7b\u611f\u77e5\u8ba4\u77e5\u7684\u9ad8\u52a8\u6001\u8303\u56f4\u5f71\u50cf\u518d\u73b0\u7406\u8bba\u548c\u6280\u672f\u7814\u7a76","funder_award_id":"61371132","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":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2941811594.pdf","grobid_xml":"https://content.openalex.org/works/W2941811594.grobid-xml"},"referenced_works_count":47,"referenced_works":["https://openalex.org/W7746136","https://openalex.org/W639708223","https://openalex.org/W1536680647","https://openalex.org/W1686810756","https://openalex.org/W1861492603","https://openalex.org/W2031489346","https://openalex.org/W2088049833","https://openalex.org/W2097117768","https://openalex.org/W2109255472","https://openalex.org/W2112796928","https://openalex.org/W2117539524","https://openalex.org/W2163605009","https://openalex.org/W2194775991","https://openalex.org/W2549139847","https://openalex.org/W2565639579","https://openalex.org/W2570343428","https://openalex.org/W2579985080","https://openalex.org/W2606833507","https://openalex.org/W2750432752","https://openalex.org/W2890472910","https://openalex.org/W2950800384","https://openalex.org/W2951638509","https://openalex.org/W2963037989","https://openalex.org/W2963093690","https://openalex.org/W2963150697","https://openalex.org/W2963287324","https://openalex.org/W2963351448","https://openalex.org/W2963446712","https://openalex.org/W2963542991","https://openalex.org/W2963743395","https://openalex.org/W2963813458","https://openalex.org/W2964080601","https://openalex.org/W3091905774","https://openalex.org/W3106250896","https://openalex.org/W4293584584","https://openalex.org/W4378710638","https://openalex.org/W6600313631","https://openalex.org/W6628973269","https://openalex.org/W6639102338","https://openalex.org/W6674914833","https://openalex.org/W6675026286","https://openalex.org/W6676338569","https://openalex.org/W6684191040","https://openalex.org/W6714138976","https://openalex.org/W6746975906","https://openalex.org/W6783596713","https://openalex.org/W6785652829"],"related_works":["https://openalex.org/W4237171675","https://openalex.org/W3036286480","https://openalex.org/W4287027631","https://openalex.org/W3192357901","https://openalex.org/W2387360586","https://openalex.org/W2952736415","https://openalex.org/W3209723314","https://openalex.org/W1689909837","https://openalex.org/W2953362004","https://openalex.org/W4298525700"],"abstract_inverted_index":{"Deep":[0],"convolutional":[1],"neural":[2],"networks":[3],"have":[4],"shown":[5],"great":[6],"success":[7],"in":[8,48,91],"object":[9,12,30],"detection.":[10],"Most":[11],"detection":[13,126],"methods":[14],"focus":[15],"on":[16,109],"improving":[17],"network":[18,54],"architecture":[19],"and":[20,115],"introducing":[21],"additional":[22],"objective":[23],"functions":[24],"to":[25,66,74,102],"improve":[26,125],"the":[27,33,37,49,53,76,120],"discrimination":[28],"of":[29,36,52,70,79],"detectors,":[31],"while":[32],"informative":[34],"annotations":[35,73],"training":[38],"data":[39],"obtained":[40],"from":[41],"enormous":[42],"human":[43],"effort":[44],"are":[45],"mainly":[46],"used":[47],"last":[50],"stage":[51],"for":[55],"producing":[56],"supervisions,":[57],"thus":[58,132],"being":[59],"under-explored.":[60],"In":[61],"this":[62],"paper,":[63],"we":[64],"propose":[65],"take":[67],"further":[68,100],"advantage":[69],"bounding":[71],"box":[72],"highlight":[75],"feature":[77],"map":[78],"foreground":[80],"objects":[81],"by":[82],"erasing":[83],"background":[84],"noise":[85],"with":[86,129],"a":[87],"novel":[88],"Mask":[89],"loss,":[90],"which":[92],"process":[93],"L":[94],"<sub":[95],"xmlns:mml=\"http://www.w3.org/1998/Math/MathML\"":[96],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">2</sub>":[97],"norm":[98],"is":[99],"incorporated":[101],"avoid":[103],"degenerated":[104],"features.":[105],"The":[106],"extensive":[107],"experiments":[108],"PASCAL":[110],"VOC":[111,113],"2007,":[112],"2012,":[114],"COCO":[116],"2017":[117],"will":[118],"demonstrate":[119],"proposed":[121],"method":[122],"can":[123],"greatly":[124],"performance":[127],"compared":[128],"baseline":[130],"models,":[131],"achieving":[133],"competitive":[134],"results.":[135]},"counts_by_year":[{"year":2023,"cited_by_count":1},{"year":2020,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}