{"id":"https://openalex.org/W4392105619","doi":"https://doi.org/10.1007/s11063-024-11551-x","title":"Research on Event Target Recognition Based on DRUNet and Multi-scale Attention","display_name":"Research on Event Target Recognition Based on DRUNet and Multi-scale Attention","publication_year":2024,"publication_date":"2024-02-23","ids":{"openalex":"https://openalex.org/W4392105619","doi":"https://doi.org/10.1007/s11063-024-11551-x"},"language":"en","primary_location":{"id":"doi:10.1007/s11063-024-11551-x","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s11063-024-11551-x","pdf_url":"https://link.springer.com/content/pdf/10.1007/s11063-024-11551-x.pdf","source":{"id":"https://openalex.org/S140962798","display_name":"Neural Processing Letters","issn_l":"1370-4621","issn":["1370-4621","1573-773X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Neural Processing Letters","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"hybrid","oa_url":"https://link.springer.com/content/pdf/10.1007/s11063-024-11551-x.pdf","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5100629534","display_name":"Zilong Liu","orcid":"https://orcid.org/0000-0003-3637-1586"},"institutions":[{"id":"https://openalex.org/I148128674","display_name":"University of Shanghai for Science and Technology","ror":"https://ror.org/00ay9v204","country_code":"CN","type":"education","lineage":["https://openalex.org/I148128674"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Zi-Long Liu","raw_affiliation_strings":["School of Optical-Electrical and Computer Engineering, University of Shanghai for Science and Technology, Shanghai, 200093, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Optical-Electrical and Computer Engineering, University of Shanghai for Science and Technology, Shanghai, 200093, China","institution_ids":["https://openalex.org/I148128674"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5022499924","display_name":"Bing Tan","orcid":"https://orcid.org/0000-0003-1509-1809"},"institutions":[{"id":"https://openalex.org/I148128674","display_name":"University of Shanghai for Science and Technology","ror":"https://ror.org/00ay9v204","country_code":"CN","type":"education","lineage":["https://openalex.org/I148128674"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Bing Tan","raw_affiliation_strings":["School of Optical-Electrical and Computer Engineering, University of Shanghai for Science and Technology, Shanghai, 200093, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Optical-Electrical and Computer Engineering, University of Shanghai for Science and Technology, Shanghai, 200093, China","institution_ids":["https://openalex.org/I148128674"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5100629534"],"corresponding_institution_ids":["https://openalex.org/I148128674"],"apc_list":{"value":2990,"currency":"USD","value_usd":2990},"apc_paid":{"value":2990,"currency":"USD","value_usd":2990},"fwci":0.1643,"has_fulltext":true,"cited_by_count":1,"citation_normalized_percentile":{"value":0.37696454,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":97},"biblio":{"volume":"56","issue":"2","first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10036","display_name":"Advanced Neural Network Applications","score":0.9969000220298767,"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":0.9969000220298767,"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":0.9865999817848206,"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"}},{"id":"https://openalex.org/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.9861000180244446,"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/computational-intelligence","display_name":"Computational intelligence","score":0.6943542957305908},{"id":"https://openalex.org/keywords/event","display_name":"Event (particle physics)","score":0.5699257850646973},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.49472686648368835},{"id":"https://openalex.org/keywords/scale","display_name":"Scale (ratio)","score":0.4826977252960205},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3904474675655365},{"id":"https://openalex.org/keywords/data-science","display_name":"Data science","score":0.34219062328338623},{"id":"https://openalex.org/keywords/cognitive-science","display_name":"Cognitive science","score":0.33090856671333313},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.3250885605812073},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.11005207896232605},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.08790144324302673},{"id":"https://openalex.org/keywords/cartography","display_name":"Cartography","score":0.07676118612289429}],"concepts":[{"id":"https://openalex.org/C139502532","wikidata":"https://www.wikidata.org/wiki/Q1122090","display_name":"Computational intelligence","level":2,"score":0.6943542957305908},{"id":"https://openalex.org/C2779662365","wikidata":"https://www.wikidata.org/wiki/Q5416694","display_name":"Event (particle physics)","level":2,"score":0.5699257850646973},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.49472686648368835},{"id":"https://openalex.org/C2778755073","wikidata":"https://www.wikidata.org/wiki/Q10858537","display_name":"Scale (ratio)","level":2,"score":0.4826977252960205},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3904474675655365},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.34219062328338623},{"id":"https://openalex.org/C188147891","wikidata":"https://www.wikidata.org/wiki/Q147638","display_name":"Cognitive science","level":1,"score":0.33090856671333313},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.3250885605812073},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.11005207896232605},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.08790144324302673},{"id":"https://openalex.org/C58640448","wikidata":"https://www.wikidata.org/wiki/Q42515","display_name":"Cartography","level":1,"score":0.07676118612289429},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1007/s11063-024-11551-x","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s11063-024-11551-x","pdf_url":"https://link.springer.com/content/pdf/10.1007/s11063-024-11551-x.pdf","source":{"id":"https://openalex.org/S140962798","display_name":"Neural Processing Letters","issn_l":"1370-4621","issn":["1370-4621","1573-773X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Neural Processing Letters","raw_type":"journal-article"}],"best_oa_location":{"id":"doi:10.1007/s11063-024-11551-x","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s11063-024-11551-x","pdf_url":"https://link.springer.com/content/pdf/10.1007/s11063-024-11551-x.pdf","source":{"id":"https://openalex.org/S140962798","display_name":"Neural Processing Letters","issn_l":"1370-4621","issn":["1370-4621","1573-773X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Neural Processing Letters","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":false},"content_urls":{"pdf":"https://content.openalex.org/works/W4392105619.pdf"},"referenced_works_count":32,"referenced_works":["https://openalex.org/W1522458522","https://openalex.org/W1901129140","https://openalex.org/W2183341477","https://openalex.org/W2194775991","https://openalex.org/W2469278928","https://openalex.org/W2513853720","https://openalex.org/W2752782242","https://openalex.org/W2796402180","https://openalex.org/W2904275768","https://openalex.org/W2917819557","https://openalex.org/W2962804204","https://openalex.org/W2963163009","https://openalex.org/W2963510238","https://openalex.org/W2971854498","https://openalex.org/W3010268791","https://openalex.org/W3034552520","https://openalex.org/W3034856145","https://openalex.org/W3035137671","https://openalex.org/W3040838455","https://openalex.org/W3097883549","https://openalex.org/W3102178346","https://openalex.org/W3110053799","https://openalex.org/W3110386488","https://openalex.org/W3167568784","https://openalex.org/W3173799069","https://openalex.org/W3178187403","https://openalex.org/W4205122681","https://openalex.org/W4205677187","https://openalex.org/W4253803843","https://openalex.org/W4283741465","https://openalex.org/W4310082948","https://openalex.org/W4323979480"],"related_works":["https://openalex.org/W2736674626","https://openalex.org/W2973875853","https://openalex.org/W1987895166","https://openalex.org/W4295529468","https://openalex.org/W4225150523","https://openalex.org/W4242735564","https://openalex.org/W2043727559","https://openalex.org/W2107939344","https://openalex.org/W1995864976","https://openalex.org/W2967761318"],"abstract_inverted_index":{"Abstract":[0],"Aiming":[1],"at":[2,69],"the":[3,39,43,46,82,86,91,98,101,114,120,127,141,148,153,163,171,176,180],"problem":[4],"of":[5,45,60,81,93,100,123,179],"noise":[6,41],"and":[7,27,72,112,135,145,167,173,189],"insufficient":[8],"feature":[9,67,133],"extraction":[10],"in":[11,85],"event":[12,20,40,47,50],"camera-based":[13],"target":[14,21],"recognition":[15,22,137,177],"task,":[16],"we":[17],"proposes":[18],"an":[19],"method":[23],"based":[24,151],"on":[25,108,152],"DRUNet":[26,31],"multi-scale":[28,54,104],"attention.":[29],"Firstly,":[30],"is":[32,57,76,129,157,182,199],"added":[33],"as":[34],"a":[35,53,61,73],"filter":[36],"to":[37,65,78,89,118,131,161],"reduce":[38,90,132],"during":[42],"conversion":[44],"stream":[48],"into":[49],"tensor;":[51],"secondly,":[52],"convolutional":[55,63],"layer":[56,64],"used":[58,158],"instead":[59],"single":[62],"extract":[66],"information":[68,143],"different":[70,109],"scales,":[71],"depth-separable":[74],"convolution":[75,84],"utilized":[77],"replace":[79],"part":[80],"standard":[83],"network":[87,94],"structure":[88],"number":[92],"parameters":[95],"without":[96],"losing":[97],"performance":[99],"network;":[102],"thirdly,":[103],"features":[105],"are":[106],"performed":[107],"channel":[110,115],"fusion":[111],"connecting":[113],"attention":[116],"module":[117],"enhance":[119],"network\u2019s":[121,164],"representation":[122],"effective":[124],"features;":[125],"then":[126],"classifier":[128],"redesigned":[130],"loss":[134],"improve":[136,162],"accuracy":[138,178],"by":[139],"compressing":[140],"semantic":[142],"layer-by-layer":[144],"step-by-step;":[146],"finally,":[147],"Adam":[149],"optimizer":[150],"gradient":[154],"centered":[155],"algorithm":[156],"for":[159],"training":[160,168],"generalization":[165],"ability":[166],"speed.":[169],"On":[170],"N-Caltech101":[172],"N-Cars":[174],"datasets,":[175],"model":[181],"87.2":[183],"$$\\%$$":[184,191],"<mml:math":[185,192],"xmlns:mml=\"http://www.w3.org/1998/Math/MathML\">":[186,193],"<mml:mo>%</mml:mo>":[187,194],"</mml:math>":[188,195],"96.3":[190],",":[196],"respectively,":[197],"which":[198],"significantly":[200],"higher":[201],"than":[202],"other":[203],"algorithms.":[204]},"counts_by_year":[{"year":2026,"cited_by_count":1}],"updated_date":"2026-07-23T08:03:31.855105","created_date":"2025-10-10T00:00:00"}
