{"id":"https://openalex.org/W4416677962","doi":"https://doi.org/10.1007/s40747-025-02131-0","title":"DSG-FSOD: a few-shot object detection method based on deformable convolutions and attention integration","display_name":"DSG-FSOD: a few-shot object detection method based on deformable convolutions and attention integration","publication_year":2025,"publication_date":"2025-11-25","ids":{"openalex":"https://openalex.org/W4416677962","doi":"https://doi.org/10.1007/s40747-025-02131-0"},"language":"en","primary_location":{"id":"doi:10.1007/s40747-025-02131-0","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s40747-025-02131-0","pdf_url":"https://link.springer.com/content/pdf/10.1007/s40747-025-02131-0.pdf","source":{"id":"https://openalex.org/S3035462843","display_name":"Complex & Intelligent Systems","issn_l":"2198-6053","issn":["2198-6053","2199-4536"],"is_oa":true,"is_in_doaj":true,"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-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Complex & Intelligent Systems","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://link.springer.com/content/pdf/10.1007/s40747-025-02131-0.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5031804796","display_name":"Xuanhong Wang","orcid":null},"institutions":[{"id":"https://openalex.org/I4210136859","display_name":"Xi\u2019an University of Posts and Telecommunications","ror":"https://ror.org/04jn0td46","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210136859"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xuanhong Wang","raw_affiliation_strings":["School of Telecommunication and Information Engineering, Xi\u2019an University of Posts and Telecommunications, Xi\u2019an, 710121, Shaanxi, China","School of Telecommunication and Information Engineering, Xi'an University of Posts and Telecommunications, Xi'an, 710121, Shaanxi, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Telecommunication and Information Engineering, Xi\u2019an University of Posts and Telecommunications, Xi\u2019an, 710121, Shaanxi, China","institution_ids":["https://openalex.org/I4210136859"]},{"raw_affiliation_string":"School of Telecommunication and Information Engineering, Xi'an University of Posts and Telecommunications, Xi'an, 710121, Shaanxi, China","institution_ids":["https://openalex.org/I4210136859"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5048916001","display_name":"Wang Xian","orcid":"https://orcid.org/0000-0002-2313-5309"},"institutions":[{"id":"https://openalex.org/I4210136859","display_name":"Xi\u2019an University of Posts and Telecommunications","ror":"https://ror.org/04jn0td46","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210136859"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xian Wang","raw_affiliation_strings":["School of Telecommunication and Information Engineering, Xi\u2019an University of Posts and Telecommunications, Xi\u2019an, 710121, Shaanxi, China","School of Telecommunication and Information Engineering, Xi'an University of Posts and Telecommunications, Xi'an, 710121, Shaanxi, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Telecommunication and Information Engineering, Xi\u2019an University of Posts and Telecommunications, Xi\u2019an, 710121, Shaanxi, China","institution_ids":["https://openalex.org/I4210136859"]},{"raw_affiliation_string":"School of Telecommunication and Information Engineering, Xi'an University of Posts and Telecommunications, Xi'an, 710121, Shaanxi, China","institution_ids":["https://openalex.org/I4210136859"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5014516371","display_name":"Jiazhen Li","orcid":null},"institutions":[{"id":"https://openalex.org/I4210136859","display_name":"Xi\u2019an University of Posts and Telecommunications","ror":"https://ror.org/04jn0td46","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210136859"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jiazhen Li","raw_affiliation_strings":["School of Telecommunication and Information Engineering, Xi\u2019an University of Posts and Telecommunications, Xi\u2019an, 710121, Shaanxi, China","School of Telecommunication and Information Engineering, Xi'an University of Posts and Telecommunications, Xi'an, 710121, Shaanxi, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Telecommunication and Information Engineering, Xi\u2019an University of Posts and Telecommunications, Xi\u2019an, 710121, Shaanxi, China","institution_ids":["https://openalex.org/I4210136859"]},{"raw_affiliation_string":"School of Telecommunication and Information Engineering, Xi'an University of Posts and Telecommunications, Xi'an, 710121, Shaanxi, China","institution_ids":["https://openalex.org/I4210136859"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5089257569","display_name":"Mingchen Wang","orcid":null},"institutions":[{"id":"https://openalex.org/I4210136859","display_name":"Xi\u2019an University of Posts and Telecommunications","ror":"https://ror.org/04jn0td46","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210136859"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Mingchen Wang","raw_affiliation_strings":["School of Telecommunication and Information Engineering, Xi\u2019an University of Posts and Telecommunications, Xi\u2019an, 710121, Shaanxi, China","School of Telecommunication and Information Engineering, Xi'an University of Posts and Telecommunications, Xi'an, 710121, Shaanxi, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Telecommunication and Information Engineering, Xi\u2019an University of Posts and Telecommunications, Xi\u2019an, 710121, Shaanxi, China","institution_ids":["https://openalex.org/I4210136859"]},{"raw_affiliation_string":"School of Telecommunication and Information Engineering, Xi'an University of Posts and Telecommunications, Xi'an, 710121, Shaanxi, China","institution_ids":["https://openalex.org/I4210136859"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101111364","display_name":"Hongyu Guo","orcid":"https://orcid.org/0009-0000-5175-7239"},"institutions":[{"id":"https://openalex.org/I4210136859","display_name":"Xi\u2019an University of Posts and Telecommunications","ror":"https://ror.org/04jn0td46","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210136859"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hongyu Guo","raw_affiliation_strings":["School of Telecommunication and Information Engineering, Xi\u2019an University of Posts and Telecommunications, Xi\u2019an, 710121, Shaanxi, China","School of Telecommunication and Information Engineering, Xi'an University of Posts and Telecommunications, Xi'an, 710121, Shaanxi, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Telecommunication and Information Engineering, Xi\u2019an University of Posts and Telecommunications, Xi\u2019an, 710121, Shaanxi, China","institution_ids":["https://openalex.org/I4210136859"]},{"raw_affiliation_string":"School of Telecommunication and Information Engineering, Xi'an University of Posts and Telecommunications, Xi'an, 710121, Shaanxi, China","institution_ids":["https://openalex.org/I4210136859"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100376291","display_name":"Yijun Zhang","orcid":"https://orcid.org/0000-0001-7971-2200"},"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":"Yijun Zhang","raw_affiliation_strings":["Test Center, National University of Defense Technology, Xi\u2019an, 710106, China","Test Center, National University of Defense Technology, Xi'an, 710106, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Test Center, National University of Defense Technology, Xi\u2019an, 710106, China","institution_ids":["https://openalex.org/I170215575"]},{"raw_affiliation_string":"Test Center, National University of Defense Technology, Xi'an, 710106, China","institution_ids":["https://openalex.org/I170215575"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5100376291"],"corresponding_institution_ids":["https://openalex.org/I170215575"],"apc_list":{"value":2190,"currency":"USD","value_usd":2190},"apc_paid":{"value":2190,"currency":"USD","value_usd":2190},"fwci":0.5458,"has_fulltext":true,"cited_by_count":1,"citation_normalized_percentile":{"value":0.70312991,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":97},"biblio":{"volume":"12","issue":"1","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":0.8223000168800354,"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":0.8223000168800354,"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/T11307","display_name":"Domain Adaptation and Few-Shot Learning","score":0.05040000006556511,"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"}},{"id":"https://openalex.org/T11606","display_name":"Infrastructure Maintenance and Monitoring","score":0.03370000049471855,"subfield":{"id":"https://openalex.org/subfields/2205","display_name":"Civil and Structural Engineering"},"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/convolution","display_name":"Convolution (computer science)","score":0.7099000215530396},{"id":"https://openalex.org/keywords/object-detection","display_name":"Object detection","score":0.7001000046730042},{"id":"https://openalex.org/keywords/flexibility","display_name":"Flexibility (engineering)","score":0.5774000287055969},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.5727999806404114},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.5511999726295471},{"id":"https://openalex.org/keywords/generalization","display_name":"Generalization","score":0.5333999991416931},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.5234000086784363},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4968000054359436}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.728600025177002},{"id":"https://openalex.org/C45347329","wikidata":"https://www.wikidata.org/wiki/Q5166604","display_name":"Convolution (computer science)","level":3,"score":0.7099000215530396},{"id":"https://openalex.org/C2776151529","wikidata":"https://www.wikidata.org/wiki/Q3045304","display_name":"Object detection","level":3,"score":0.7001000046730042},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6398000121116638},{"id":"https://openalex.org/C2780598303","wikidata":"https://www.wikidata.org/wiki/Q65921492","display_name":"Flexibility (engineering)","level":2,"score":0.5774000287055969},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.5727999806404114},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.5511999726295471},{"id":"https://openalex.org/C177148314","wikidata":"https://www.wikidata.org/wiki/Q170084","display_name":"Generalization","level":2,"score":0.5333999991416931},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.5234000086784363},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4968000054359436},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.460999995470047},{"id":"https://openalex.org/C139502532","wikidata":"https://www.wikidata.org/wiki/Q1122090","display_name":"Computational intelligence","level":2,"score":0.43790000677108765},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.42179998755455017},{"id":"https://openalex.org/C198082294","wikidata":"https://www.wikidata.org/wiki/Q3399648","display_name":"Position (finance)","level":2,"score":0.41110000014305115},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.32820001244544983},{"id":"https://openalex.org/C12725497","wikidata":"https://www.wikidata.org/wiki/Q810247","display_name":"Baseline (sea)","level":2,"score":0.3165000081062317},{"id":"https://openalex.org/C182365436","wikidata":"https://www.wikidata.org/wiki/Q50701","display_name":"Variable (mathematics)","level":2,"score":0.3100999891757965},{"id":"https://openalex.org/C203595873","wikidata":"https://www.wikidata.org/wiki/Q25389927","display_name":"Change detection","level":2,"score":0.2989000082015991},{"id":"https://openalex.org/C16345878","wikidata":"https://www.wikidata.org/wiki/Q107472979","display_name":"Orientation (vector space)","level":2,"score":0.28450000286102295},{"id":"https://openalex.org/C204241405","wikidata":"https://www.wikidata.org/wiki/Q461499","display_name":"Transformation (genetics)","level":3,"score":0.27230000495910645},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.2680000066757202},{"id":"https://openalex.org/C19768560","wikidata":"https://www.wikidata.org/wiki/Q320727","display_name":"Dependency (UML)","level":2,"score":0.267300009727478},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.257099986076355},{"id":"https://openalex.org/C4641261","wikidata":"https://www.wikidata.org/wiki/Q11681085","display_name":"Face detection","level":4,"score":0.25380000472068787}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1007/s40747-025-02131-0","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s40747-025-02131-0","pdf_url":"https://link.springer.com/content/pdf/10.1007/s40747-025-02131-0.pdf","source":{"id":"https://openalex.org/S3035462843","display_name":"Complex & Intelligent Systems","issn_l":"2198-6053","issn":["2198-6053","2199-4536"],"is_oa":true,"is_in_doaj":true,"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-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Complex & Intelligent Systems","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:ee4624cb326c43e688b6b9a8023fa077","is_oa":true,"landing_page_url":"https://doaj.org/article/ee4624cb326c43e688b6b9a8023fa077","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":"Complex & Intelligent Systems, Vol 12, Iss 1, Pp 1-14 (2025)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1007/s40747-025-02131-0","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s40747-025-02131-0","pdf_url":"https://link.springer.com/content/pdf/10.1007/s40747-025-02131-0.pdf","source":{"id":"https://openalex.org/S3035462843","display_name":"Complex & Intelligent Systems","issn_l":"2198-6053","issn":["2198-6053","2199-4536"],"is_oa":true,"is_in_doaj":true,"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-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Complex & Intelligent Systems","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4416677962.pdf","grobid_xml":"https://content.openalex.org/works/W4416677962.grobid-xml"},"referenced_works_count":33,"referenced_works":["https://openalex.org/W639708223","https://openalex.org/W2193145675","https://openalex.org/W2194775991","https://openalex.org/W2601564443","https://openalex.org/W2963420686","https://openalex.org/W2964105864","https://openalex.org/W2982220924","https://openalex.org/W2983156430","https://openalex.org/W2996583130","https://openalex.org/W3034942609","https://openalex.org/W3034974675","https://openalex.org/W3137333070","https://openalex.org/W3153037112","https://openalex.org/W3169708801","https://openalex.org/W3174396556","https://openalex.org/W3180725527","https://openalex.org/W3191799143","https://openalex.org/W3211980987","https://openalex.org/W4214724741","https://openalex.org/W4381936735","https://openalex.org/W4387664436","https://openalex.org/W4390658962","https://openalex.org/W4393029126","https://openalex.org/W4393195438","https://openalex.org/W4399618797","https://openalex.org/W4399665752","https://openalex.org/W4402661165","https://openalex.org/W4402754181","https://openalex.org/W4406028248","https://openalex.org/W4406739626","https://openalex.org/W4407735435","https://openalex.org/W4407748921","https://openalex.org/W4409777651"],"related_works":[],"abstract_inverted_index":{"In":[0],"industrial":[1],"settings,":[2],"few-shot":[3,31],"steel":[4,195,250],"plate":[5],"surface":[6],"defect":[7,19,196,251],"detection":[8,33,148,181,223,252],"poses":[9],"a":[10,23,63,72,153,228],"challenging":[11],"task.":[12],"The":[13,201],"goal":[14],"is":[15],"to":[16,126,140,164,239],"identify":[17],"new":[18],"categories":[20],"with":[21,38,215],"only":[22],"limited":[24],"number":[25],"of":[26,89,97,187],"samples":[27],"available.":[28],"However,":[29],"existing":[30],"object":[32],"(FSOD)":[34],"methods":[35,209],"often":[36],"struggle":[37],"complex":[39,101],"and":[40,53,87,100,108,145,177,199,233,245],"variable":[41],"defects,":[42],"particularly":[43],"those":[44],"characterized":[45],"by":[46],"large-scale":[47],"geometric":[48,102],"deformations,":[49],"high":[50],"intra-class":[51],"similarity,":[52],"strong":[54],"background":[55],"interference.":[56],"To":[57,183],"address":[58],"these":[59],"issues,":[60],"we":[61,70,111,151,189],"propose":[62],"novel":[64,73],"FSOD":[65],"method":[66],"called":[67],"DSG-FSOD.":[68],"First,":[69],"design":[71],"backbone":[74],"network,":[75,161],"DCN-ResNet101.":[76],"By":[77],"introducing":[78],"deformable":[79],"convolutions,":[80],"this":[81],"network":[82,125],"dynamically":[83],"adjusts":[84],"the":[85,105,113,118,124,159,172,185],"position":[86],"shape":[88],"convolution":[90],"kernels.":[91],"This":[92,121,137,169],"enables":[93,123],"more":[94,141],"effective":[95],"capture":[96,165],"large-deformation":[98],"defects":[99],"structures,":[103],"enhancing":[104],"model\u2019s":[106,173],"flexibility":[107],"accuracy.":[109,224],"Second,":[110],"integrate":[112],"Squeeze-and-Excitation":[114],"(SE)":[115],"module":[116,157],"into":[117,158],"DCN-ResNet101":[119,160],"architecture.":[120],"integration":[122],"place":[127],"greater":[128],"emphasis":[129],"on":[130,193],"valuable":[131],"features":[132],"while":[133],"suppressing":[134],"irrelevant":[135],"responses.":[136],"improvement":[138,230,235],"leads":[139],"reliable":[142],"feature":[143],"representation":[144],"boosts":[146],"overall":[147],"performance.":[149],"Third,":[150],"embed":[152],"Global":[154],"Context":[155],"(GC)":[156],"enabling":[162],"it":[163,226],"comprehensive":[166],"contextual":[167],"information.":[168],"enhancement":[170],"improves":[171],"category":[174],"discrimination":[175],"capability":[176,247],"effectively":[178],"reduces":[179],"false":[180],"rates.":[182],"validate":[184],"effectiveness":[186,244],"DSG-FSOD,":[188],"conduct":[190],"extensive":[191],"experiments":[192],"two":[194],"datasets,":[197],"NEU-DET":[198],"X-SDD.":[200],"experimental":[202],"results":[203],"demonstrate":[204],"that":[205],"DSG-FSOD":[206,218],"outperforms":[207],"state-of-the-art":[208],"under":[210],"both":[211],"evaluation":[212],"protocols.":[213],"Compared":[214],"baseline":[216,240],"models,":[217,241],"achieves":[219,227],"substantial":[220],"improvements":[221],"in":[222,248],"Specifically,":[225],"6.4%":[229],"at":[231,236],"2-shot":[232],"5.5%":[234],"10-shot":[237],"compared":[238],"demonstrating":[242],"its":[243],"generalization":[246],"practical":[249],"scenarios.":[253]},"counts_by_year":[{"year":2026,"cited_by_count":1}],"updated_date":"2026-07-23T08:03:31.855105","created_date":"2025-11-25T00:00:00"}