{"id":"https://openalex.org/W3023523841","doi":"https://doi.org/10.1109/access.2020.2990477","title":"SSD Object Detection Model Based on Multi-Frequency Feature Theory","display_name":"SSD Object Detection Model Based on Multi-Frequency Feature Theory","publication_year":2020,"publication_date":"2020-01-01","ids":{"openalex":"https://openalex.org/W3023523841","doi":"https://doi.org/10.1109/access.2020.2990477","mag":"3023523841"},"language":"en","primary_location":{"is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2020.2990477","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/8948470/09078755.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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true},"type":"article","type_crossref":"journal-article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://ieeexplore.ieee.org/ielx7/6287639/8948470/09078755.pdf","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5100689994","display_name":"Jinling Li","orcid":"https://orcid.org/0000-0001-8914-3320"},"institutions":[{"id":"https://openalex.org/I94310126","display_name":"Shanxi Normal University","ror":"https://ror.org/03zd3ta61","country_code":"CN","type":"education","lineage":["https://openalex.org/I94310126"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jinling Li","raw_affiliation_strings":["School of Economics and Management, Shanxi Normal University, Linfen, China"],"affiliations":[{"raw_affiliation_string":"School of Economics and Management, Shanxi Normal University, Linfen, China","institution_ids":["https://openalex.org/I94310126"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5006758777","display_name":"Qingshan Hou","orcid":"https://orcid.org/0000-0002-3839-1399"},"institutions":[{"id":"https://openalex.org/I94310126","display_name":"Shanxi Normal University","ror":"https://ror.org/03zd3ta61","country_code":"CN","type":"education","lineage":["https://openalex.org/I94310126"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qingshan Hou","raw_affiliation_strings":["School of Mathematics and Computer Science, Shanxi Normal University, Linfen, China"],"affiliations":[{"raw_affiliation_string":"School of Mathematics and Computer Science, Shanxi Normal University, Linfen, China","institution_ids":["https://openalex.org/I94310126"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5040495434","display_name":"Jinsheng Xing","orcid":"https://orcid.org/0000-0002-8297-4970"},"institutions":[{"id":"https://openalex.org/I94310126","display_name":"Shanxi Normal University","ror":"https://ror.org/03zd3ta61","country_code":"CN","type":"education","lineage":["https://openalex.org/I94310126"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jinsheng Xing","raw_affiliation_strings":["School of Mathematics and Computer Science, Shanxi Normal University, Linfen, China"],"affiliations":[{"raw_affiliation_string":"School of Mathematics and Computer Science, Shanxi Normal University, Linfen, China","institution_ids":["https://openalex.org/I94310126"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5090359894","display_name":"Jianguo Ju","orcid":"https://orcid.org/0000-0002-9682-2679"},"institutions":[],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jianguo Ju","raw_affiliation_strings":["School of Information Science and Technology, Northwestern University, Xi\u2019an, China"],"affiliations":[{"raw_affiliation_string":"School of Information Science and Technology, Northwestern University, Xi\u2019an, China","institution_ids":[]}]}],"institution_assertions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":{"value":1850,"currency":"USD","value_usd":1850,"provenance":"doaj"},"apc_paid":{"value":1850,"currency":"USD","value_usd":1850,"provenance":"doaj"},"fwci":1.343,"has_fulltext":true,"fulltext_origin":"pdf","cited_by_count":14,"citation_normalized_percentile":{"value":0.770853,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":90},"biblio":{"volume":"8","issue":null,"first_page":"82294","last_page":"82305"},"is_retracted":false,"is_paratext":false,"primary_topic":{"id":"https://openalex.org/T10036","display_name":"Advanced Neural Network Applications","score":0.9984,"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":0.9984,"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":0.9675,"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/T12702","display_name":"Brain Tumor Detection and Classification","score":0.9658,"subfield":{"id":"https://openalex.org/subfields/2808","display_name":"Neurology"},"field":{"id":"https://openalex.org/fields/28","display_name":"Neuroscience"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/convolution","display_name":"Convolution (computer science)","score":0.5228905},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.42001313}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.78132766},{"id":"https://openalex.org/C2776151529","wikidata":"https://www.wikidata.org/wiki/Q3045304","display_name":"Object detection","level":3,"score":0.71358776},{"id":"https://openalex.org/C152124472","wikidata":"https://www.wikidata.org/wiki/Q1204361","display_name":"Redundancy (engineering)","level":2,"score":0.5644781},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5242258},{"id":"https://openalex.org/C45347329","wikidata":"https://www.wikidata.org/wiki/Q5166604","display_name":"Convolution (computer science)","level":3,"score":0.5228905},{"id":"https://openalex.org/C94915269","wikidata":"https://www.wikidata.org/wiki/Q1834857","display_name":"Detector","level":2,"score":0.45584482},{"id":"https://openalex.org/C64543145","wikidata":"https://www.wikidata.org/wiki/Q162942","display_name":"Intersection (aeronautics)","level":2,"score":0.45022932},{"id":"https://openalex.org/C2779960059","wikidata":"https://www.wikidata.org/wiki/Q7113681","display_name":"Overhead (engineering)","level":2,"score":0.44827226},{"id":"https://openalex.org/C2777303404","wikidata":"https://www.wikidata.org/wiki/Q759757","display_name":"Convergence (economics)","level":2,"score":0.43667388},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.42001313},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.40048486},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.32497513},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.10814643},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.0},{"id":"https://openalex.org/C50522688","wikidata":"https://www.wikidata.org/wiki/Q189833","display_name":"Economic growth","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/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.0},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C146978453","wikidata":"https://www.wikidata.org/wiki/Q3798668","display_name":"Aerospace engineering","level":1,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2020.2990477","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/8948470/09078755.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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true},{"is_oa":false,"landing_page_url":"https://doaj.org/article/4f266cc97aa64a57b8993f2ff9278e2b","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":true,"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":null,"is_accepted":false,"is_published":false}],"best_oa_location":{"is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2020.2990477","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/8948470/09078755.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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true},"sustainable_development_goals":[],"grants":[{"funder":"https://openalex.org/F4320322666","funder_display_name":"Natural Science Foundation of Shanxi Province","award_id":"2011041037-02"}],"datasets":[],"versions":[],"referenced_works_count":30,"referenced_works":["https://openalex.org/W1522301498","https://openalex.org/W1536680647","https://openalex.org/W1686810756","https://openalex.org/W1994616650","https://openalex.org/W2088049833","https://openalex.org/W2102605133","https://openalex.org/W2194775991","https://openalex.org/W2495059802","https://openalex.org/W2513639043","https://openalex.org/W2531409750","https://openalex.org/W2549139847","https://openalex.org/W2570343428","https://openalex.org/W2579985080","https://openalex.org/W2589646680","https://openalex.org/W2773495332","https://openalex.org/W2799197246","https://openalex.org/W2883111419","https://openalex.org/W2883534172","https://openalex.org/W2893184996","https://openalex.org/W2908875379","https://openalex.org/W2949935872","https://openalex.org/W2963037989","https://openalex.org/W2963058975","https://openalex.org/W2963150697","https://openalex.org/W2982064756","https://openalex.org/W2988396473","https://openalex.org/W3106250896","https://openalex.org/W3215352207","https://openalex.org/W4297775537","https://openalex.org/W639708223"],"related_works":["https://openalex.org/W4323256314","https://openalex.org/W4292672442","https://openalex.org/W2941610985","https://openalex.org/W2791431590","https://openalex.org/W2362101859","https://openalex.org/W2350688482","https://openalex.org/W2348909947","https://openalex.org/W2087777635","https://openalex.org/W2053575972","https://openalex.org/W1978900583"],"abstract_inverted_index":{"In":[0],"order":[1,68,101],"to":[2,69,102,120],"further":[3],"improve":[4],"the":[5,11,32,45,49,53,56,71,89,96,104,108,111,122,127,135,142],"accuracy":[6,43,156],"and":[7,41,92,113,153,157],"real-time":[8,158],"performance":[9],"of":[10,34,74,95,107,126],"traditional":[12,46,75,97],"Single":[13],"Shot":[14],"Multibox":[15],"Detector":[16],"(SSD)":[17],"object":[18,39],"detection":[19,25,147,151,155],"model,":[20,48,77,110],"an":[21],"improved":[22,50,109,128,143,154],"SSD":[23,47,76],"multi-object":[24],"model":[26,51,129,144],"is":[27,84,118,131],"proposed.":[28],"Firstly,":[29],"aiming":[30],"at":[31],"defect":[33],"weak":[35],"correlation":[36,54],"between":[37,55],"prediction":[38,63],"score":[40],"positioning":[42],"in":[44,67,100,134],"enhanced":[52],"two":[57],"by":[58],"adding":[59],"Intersection":[60],"Over":[61],"Union(IoU)":[62],"loss":[64],"branch.":[65],"Secondly,":[66],"reduce":[70],"spatial":[72],"redundancy":[73],"a":[78],"multi-frequency":[79],"feature":[80],"component":[81],"convolution":[82],"module":[83],"designed,":[85],"which":[86,130],"greatly":[87],"reduces":[88],"calculation":[90],"overhead":[91,94],"hardware":[93],"model.":[98],"Finally,":[99],"accelerate":[103],"convergence":[105],"speed":[106],"Adaptive":[112],"Momental":[114],"Bound":[115],"(AdaMod)":[116],"optimizer":[117],"introduced":[119],"modify":[121],"adaptive":[123],"learning":[124],"rate":[125],"too":[132],"large":[133],"training":[136],"process.":[137],"Experimental":[138],"results":[139],"show":[140],"that":[141],"has":[145],"stronger":[146],"capabilities,":[148],"better":[149],"overall":[150],"results,":[152],"detection.":[159]},"cited_by_api_url":"https://api.openalex.org/works?filter=cites:W3023523841","counts_by_year":[{"year":2023,"cited_by_count":4},{"year":2022,"cited_by_count":4},{"year":2021,"cited_by_count":5},{"year":2020,"cited_by_count":1}],"updated_date":"2025-01-07T18:43:37.114377","created_date":"2020-05-13"}