{"id":"https://openalex.org/W4388070219","doi":"https://doi.org/10.3390/s23218851","title":"Multi-Scene Mask Detection Based on Multi-Scale Residual and Complementary Attention Mechanism","display_name":"Multi-Scene Mask Detection Based on Multi-Scale Residual and Complementary Attention Mechanism","publication_year":2023,"publication_date":"2023-10-31","ids":{"openalex":"https://openalex.org/W4388070219","doi":"https://doi.org/10.3390/s23218851","pmid":"https://pubmed.ncbi.nlm.nih.gov/37960550"},"language":"en","primary_location":{"id":"doi:10.3390/s23218851","is_oa":true,"landing_page_url":"https://doi.org/10.3390/s23218851","pdf_url":"https://www.mdpi.com/1424-8220/23/21/8851/pdf?version=1698736954","source":{"id":"https://openalex.org/S101949793","display_name":"Sensors","issn_l":"1424-8220","issn":["1424-8220"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Sensors","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj","pubmed"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.mdpi.com/1424-8220/23/21/8851/pdf?version=1698736954","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5101564492","display_name":"Yuting Zhou","orcid":"https://orcid.org/0000-0003-2254-2815"},"institutions":[{"id":"https://openalex.org/I24185976","display_name":"Sichuan University","ror":"https://ror.org/011ashp19","country_code":"CN","type":"education","lineage":["https://openalex.org/I24185976"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yuting Zhou","raw_affiliation_strings":["College of Electronics and Information Engineering, Sichuan University, Chengdu 610065, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Electronics and Information Engineering, Sichuan University, Chengdu 610065, China","institution_ids":["https://openalex.org/I24185976"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5031341449","display_name":"Xin Lin","orcid":"https://orcid.org/0000-0003-2012-5903"},"institutions":[{"id":"https://openalex.org/I24185976","display_name":"Sichuan University","ror":"https://ror.org/011ashp19","country_code":"CN","type":"education","lineage":["https://openalex.org/I24185976"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xin Lin","raw_affiliation_strings":["College of Electronics and Information Engineering, Sichuan University, Chengdu 610065, China"],"raw_orcid":"https://orcid.org/0000-0003-2012-5903","affiliations":[{"raw_affiliation_string":"College of Electronics and Information Engineering, Sichuan University, Chengdu 610065, China","institution_ids":["https://openalex.org/I24185976"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5060171530","display_name":"Shi Luo","orcid":"https://orcid.org/0000-0001-5334-0453"},"institutions":[{"id":"https://openalex.org/I24185976","display_name":"Sichuan University","ror":"https://ror.org/011ashp19","country_code":"CN","type":"education","lineage":["https://openalex.org/I24185976"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shi Luo","raw_affiliation_strings":["College of Electronics and Information Engineering, Sichuan University, Chengdu 610065, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Electronics and Information Engineering, Sichuan University, Chengdu 610065, China","institution_ids":["https://openalex.org/I24185976"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5024243857","display_name":"Sixian Ding","orcid":null},"institutions":[{"id":"https://openalex.org/I24185976","display_name":"Sichuan University","ror":"https://ror.org/011ashp19","country_code":"CN","type":"education","lineage":["https://openalex.org/I24185976"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Sixian Ding","raw_affiliation_strings":["College of Electronics and Information Engineering, Sichuan University, Chengdu 610065, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Electronics and Information Engineering, Sichuan University, Chengdu 610065, China","institution_ids":["https://openalex.org/I24185976"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100596520","display_name":"Luyang Xiao","orcid":null},"institutions":[{"id":"https://openalex.org/I24185976","display_name":"Sichuan University","ror":"https://ror.org/011ashp19","country_code":"CN","type":"education","lineage":["https://openalex.org/I24185976"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Luyang Xiao","raw_affiliation_strings":["College of Electronics and Information Engineering, Sichuan University, Chengdu 610065, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Electronics and Information Engineering, Sichuan University, Chengdu 610065, China","institution_ids":["https://openalex.org/I24185976"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5028800313","display_name":"Chao Ren","orcid":"https://orcid.org/0000-0002-5347-2728"},"institutions":[{"id":"https://openalex.org/I24185976","display_name":"Sichuan University","ror":"https://ror.org/011ashp19","country_code":"CN","type":"education","lineage":["https://openalex.org/I24185976"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Chao Ren","raw_affiliation_strings":["College of Electronics and Information Engineering, Sichuan University, Chengdu 610065, China"],"raw_orcid":"https://orcid.org/0000-0002-5347-2728","affiliations":[{"raw_affiliation_string":"College of Electronics and Information Engineering, Sichuan University, Chengdu 610065, China","institution_ids":["https://openalex.org/I24185976"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5028800313"],"corresponding_institution_ids":["https://openalex.org/I24185976"],"apc_list":{"value":2400,"currency":"CHF","value_usd":2673},"apc_paid":{"value":2400,"currency":"CHF","value_usd":2673},"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.10688469,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"23","issue":"21","first_page":"8851","last_page":"8851"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10036","display_name":"Advanced Neural Network Applications","score":0.9994999766349792,"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":0.9994999766349792,"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/T12111","display_name":"Industrial Vision Systems and Defect Detection","score":0.9980000257492065,"subfield":{"id":"https://openalex.org/subfields/2209","display_name":"Industrial and Manufacturing Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T12549","display_name":"Image and Object Detection Techniques","score":0.9957000017166138,"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/residual","display_name":"Residual","score":0.8436031341552734},{"id":"https://openalex.org/keywords/block","display_name":"Block (permutation group theory)","score":0.6851850748062134},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6634848117828369},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6352337002754211},{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.5704240798950195},{"id":"https://openalex.org/keywords/generalization","display_name":"Generalization","score":0.4539981484413147},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.4450153112411499},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.44334882497787476},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.430602103471756},{"id":"https://openalex.org/keywords/scale","display_name":"Scale (ratio)","score":0.4189383387565613},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.37220609188079834},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.2687968909740448},{"id":"https://openalex.org/keywords/cartography","display_name":"Cartography","score":0.19473153352737427},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.18613013625144958},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.18219009041786194}],"concepts":[{"id":"https://openalex.org/C155512373","wikidata":"https://www.wikidata.org/wiki/Q287450","display_name":"Residual","level":2,"score":0.8436031341552734},{"id":"https://openalex.org/C2777210771","wikidata":"https://www.wikidata.org/wiki/Q4927124","display_name":"Block (permutation group theory)","level":2,"score":0.6851850748062134},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6634848117828369},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6352337002754211},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.5704240798950195},{"id":"https://openalex.org/C177148314","wikidata":"https://www.wikidata.org/wiki/Q170084","display_name":"Generalization","level":2,"score":0.4539981484413147},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.4450153112411499},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.44334882497787476},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.430602103471756},{"id":"https://openalex.org/C2778755073","wikidata":"https://www.wikidata.org/wiki/Q10858537","display_name":"Scale (ratio)","level":2,"score":0.4189383387565613},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.37220609188079834},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.2687968909740448},{"id":"https://openalex.org/C58640448","wikidata":"https://www.wikidata.org/wiki/Q42515","display_name":"Cartography","level":1,"score":0.19473153352737427},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.18613013625144958},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.18219009041786194},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0}],"mesh":[],"locations_count":4,"locations":[{"id":"doi:10.3390/s23218851","is_oa":true,"landing_page_url":"https://doi.org/10.3390/s23218851","pdf_url":"https://www.mdpi.com/1424-8220/23/21/8851/pdf?version=1698736954","source":{"id":"https://openalex.org/S101949793","display_name":"Sensors","issn_l":"1424-8220","issn":["1424-8220"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Sensors","raw_type":"journal-article"},{"id":"pmid:37960550","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/37960550","pdf_url":null,"source":{"id":"https://openalex.org/S4306525036","display_name":"PubMed","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Sensors (Basel, Switzerland)","raw_type":null},{"id":"pmh:oai:pubmedcentral.nih.gov:10648039","is_oa":true,"landing_page_url":"https://www.ncbi.nlm.nih.gov/pmc/articles/10648039","pdf_url":"https://pmc.ncbi.nlm.nih.gov/articles/PMC10648039/pdf/sensors-23-08851.pdf","source":{"id":"https://openalex.org/S2764455111","display_name":"PubMed Central","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Sensors (Basel)","raw_type":"Text"},{"id":"pmh:oai:doaj.org/article:5dc1e6551cee4618b2a8f9ce1200b629","is_oa":true,"landing_page_url":"https://doaj.org/article/5dc1e6551cee4618b2a8f9ce1200b629","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":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Sensors, Vol 23, Iss 21, p 8851 (2023)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.3390/s23218851","is_oa":true,"landing_page_url":"https://doi.org/10.3390/s23218851","pdf_url":"https://www.mdpi.com/1424-8220/23/21/8851/pdf?version=1698736954","source":{"id":"https://openalex.org/S101949793","display_name":"Sensors","issn_l":"1424-8220","issn":["1424-8220"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Sensors","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G2575488011","display_name":null,"funder_award_id":"62171304","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G6945483923","display_name":null,"funder_award_id":"2022CDDZ-09","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":{"grobid_xml":false,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4388070219.pdf"},"referenced_works_count":73,"referenced_works":["https://openalex.org/W23474907","https://openalex.org/W639708223","https://openalex.org/W1536680647","https://openalex.org/W1836465849","https://openalex.org/W2048335335","https://openalex.org/W2097117768","https://openalex.org/W2102605133","https://openalex.org/W2109255472","https://openalex.org/W2162318273","https://openalex.org/W2183341477","https://openalex.org/W2193145675","https://openalex.org/W2194775991","https://openalex.org/W2288122362","https://openalex.org/W2302255633","https://openalex.org/W2323523193","https://openalex.org/W2511023170","https://openalex.org/W2545630289","https://openalex.org/W2570343428","https://openalex.org/W2604967609","https://openalex.org/W2618530766","https://openalex.org/W2739722733","https://openalex.org/W2884585870","https://openalex.org/W2896155169","https://openalex.org/W2914937742","https://openalex.org/W2941584439","https://openalex.org/W2946948417","https://openalex.org/W2963037989","https://openalex.org/W2963093690","https://openalex.org/W2963351448","https://openalex.org/W2963399478","https://openalex.org/W2963566548","https://openalex.org/W2997408160","https://openalex.org/W3009396058","https://openalex.org/W3012181357","https://openalex.org/W3014271510","https://openalex.org/W3024585647","https://openalex.org/W3034552680","https://openalex.org/W3034745255","https://openalex.org/W3070220677","https://openalex.org/W3096831136","https://openalex.org/W3106250896","https://openalex.org/W3109940015","https://openalex.org/W3120025205","https://openalex.org/W3131349494","https://openalex.org/W3133830781","https://openalex.org/W3157386596","https://openalex.org/W3165841525","https://openalex.org/W3179179579","https://openalex.org/W3193756932","https://openalex.org/W4200006813","https://openalex.org/W4200485991","https://openalex.org/W4205282290","https://openalex.org/W4221004518","https://openalex.org/W4225151176","https://openalex.org/W4243794359","https://openalex.org/W4280576422","https://openalex.org/W4287825176","https://openalex.org/W4293584584","https://openalex.org/W4306160372","https://openalex.org/W4307266403","https://openalex.org/W4309570031","https://openalex.org/W4319965846","https://openalex.org/W4360616069","https://openalex.org/W4382982421","https://openalex.org/W4385245566","https://openalex.org/W4386076325","https://openalex.org/W6620707391","https://openalex.org/W6739901393","https://openalex.org/W6761108903","https://openalex.org/W6796898648","https://openalex.org/W6851128704","https://openalex.org/W6853359028","https://openalex.org/W6931202655"],"related_works":["https://openalex.org/W2560215812","https://openalex.org/W2949601986","https://openalex.org/W2788972299","https://openalex.org/W4375867731","https://openalex.org/W2371138613","https://openalex.org/W2521347458","https://openalex.org/W2498789492","https://openalex.org/W2048963458","https://openalex.org/W43109613","https://openalex.org/W2359952343"],"abstract_inverted_index":{"Vast":[0],"amounts":[1],"of":[2,25,72,146,188,205,237,251],"monitoring":[3],"data":[4],"can":[5,59,67,246],"be":[6],"obtained":[7],"through":[8],"various":[9,170],"optical":[10],"sensors,":[11],"and":[12,42,48,64,99,108,135,148,154,174,254],"mask":[13,31,175],"detection":[14,32,53,70,195],"based":[15,80],"on":[16,81,178,223],"deep":[17],"learning":[18],"integrates":[19],"neural":[20],"science":[21],"into":[22],"a":[23,163,214],"variety":[24],"applications":[26],"in":[27,50,127],"everyday":[28],"life.":[29],"However,":[30],"poses":[33],"technical":[34],"challenges":[35],"such":[36],"as":[37,113],"small":[38,73],"targets,":[39,74],"complex":[40],"scenes,":[41,171],"occlusions,":[43],"which":[44,168],"necessitate":[45],"high":[46],"accuracy":[47],"robustness":[49],"multi-scene":[51],"target":[52],"networks.":[54,196],"Considering":[55,105],"that":[56,182,244],"multi-scale":[57,83,87,133],"features":[58,134],"increase":[60],"the":[61,69,77,82,106,114,119,128,142,151,179,199,202,224,234,238,249,252,261],"receptive":[62],"field":[63],"attention":[65,91,144],"mechanism":[66],"improve":[68,233,248],"effect":[71],"we":[75,110,122,161,212],"propose":[76,213],"YOLO-MSM":[78,183,206,222,255],"network":[79,253],"residual":[84,88,95,101,125,129],"(MSR)":[85],"block,":[86,93,98,121],"cascaded":[89],"channel-spatial":[90],"(MSR-CCSA)":[92],"enhanced":[94,100],"CCSA":[96,152],"(ER-CCSA)":[97],"PCSA":[102,155],"(ER-PCSA)":[103],"block.":[104],"performance":[107,192],"parameters,":[109],"use":[111],"YOLOv5":[112],"baseline":[115,200],"network.":[116,239],"Firstly,":[117],"for":[118],"MSR":[120],"construct":[123,162],"hierarchical":[124],"connections":[126],"blocks":[130],"to":[131,140,232],"extract":[132],"obtain":[136],"finer":[137],"features.":[138],"Secondly,":[139],"realize":[141],"joint":[143],"function":[145],"channel":[147],"space,":[149],"both":[150],"block":[153,156],"are":[157],"adopted.":[158],"In":[159],"addition,":[160],"new":[164],"dataset":[165,180,225],"named":[166],"Multi-Scene-Mask,":[167],"contains":[169],"crowd":[172],"densities,":[173],"types.":[176],"Experiments":[177],"show":[181],"achieves":[184],"an":[185],"average":[186],"precision":[187],"97.51%,":[189],"showing":[190],"better":[191],"than":[193,260],"other":[194],"Compared":[197],"with":[198,227],"network,":[201],"mAP":[203],"value":[204],"is":[207],"increased":[208],"by":[209,220],"3.46%.":[210],"Moreover,":[211],"module":[215],"generalization":[216,235,250,258],"improvement":[217],"strategy":[218],"(GIS)":[219],"training":[221],"augmented":[226],"white":[228],"Gaussian":[229],"addition":[230],"noise":[231],"ability":[236,259],"The":[240],"test":[241],"results":[242],"verify":[243],"GIS":[245],"greatly":[247],"has":[256],"stronger":[257],"baseline.":[262]},"counts_by_year":[],"updated_date":"2026-07-22T07:51:19.307946","created_date":"2025-10-10T00:00:00"}