{"id":"https://openalex.org/W7147331635","doi":"https://doi.org/10.1109/cnml68938.2026.11452317","title":"Research on a Multi-Stage Multi-Attention Fusion Approach for Rice Pest Detection","display_name":"Research on a Multi-Stage Multi-Attention Fusion Approach for Rice Pest Detection","publication_year":2026,"publication_date":"2026-01-30","ids":{"openalex":"https://openalex.org/W7147331635","doi":"https://doi.org/10.1109/cnml68938.2026.11452317"},"language":null,"primary_location":{"id":"doi:10.1109/cnml68938.2026.11452317","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cnml68938.2026.11452317","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2026 International Conference on Communication Networks and Machine Learning (CNML)","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5132706002","display_name":"Yuxin Wang","orcid":null},"institutions":[{"id":"https://openalex.org/I106645853","display_name":"Changchun University of Science and Technology","ror":"https://ror.org/007mntk44","country_code":"CN","type":"education","lineage":["https://openalex.org/I106645853"]},{"id":"https://openalex.org/I4210087986","display_name":"Changchun Discovery Sciences (China)","ror":"https://ror.org/007e7b187","country_code":"CN","type":"company","lineage":["https://openalex.org/I4210087986"]},{"id":"https://openalex.org/I4210143016","display_name":"Changchun Institute of Technology","ror":"https://ror.org/03r6wam78","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210143016"]},{"id":"https://openalex.org/I49232843","display_name":"Changchun University","ror":"https://ror.org/02an57k10","country_code":"CN","type":"education","lineage":["https://openalex.org/I49232843"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Yuxin Wang","raw_affiliation_strings":["Electronic Information Engineering Institute Changchun University of Science and Technology,Changchun,China,130022","Jilin Branch China Tower Corporation Limited,Changchun,China,130028"],"affiliations":[{"raw_affiliation_string":"Electronic Information Engineering Institute Changchun University of Science and Technology,Changchun,China,130022","institution_ids":["https://openalex.org/I106645853","https://openalex.org/I49232843","https://openalex.org/I4210143016"]},{"raw_affiliation_string":"Jilin Branch China Tower Corporation Limited,Changchun,China,130028","institution_ids":["https://openalex.org/I4210087986"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5132584861","display_name":"Yuting Wang","orcid":null},"institutions":[{"id":"https://openalex.org/I106645853","display_name":"Changchun University of Science and Technology","ror":"https://ror.org/007mntk44","country_code":"CN","type":"education","lineage":["https://openalex.org/I106645853"]},{"id":"https://openalex.org/I4210087986","display_name":"Changchun Discovery Sciences (China)","ror":"https://ror.org/007e7b187","country_code":"CN","type":"company","lineage":["https://openalex.org/I4210087986"]},{"id":"https://openalex.org/I4210143016","display_name":"Changchun Institute of Technology","ror":"https://ror.org/03r6wam78","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210143016"]},{"id":"https://openalex.org/I49232843","display_name":"Changchun University","ror":"https://ror.org/02an57k10","country_code":"CN","type":"education","lineage":["https://openalex.org/I49232843"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yuting Wang","raw_affiliation_strings":["Electronic Information Engineering Institute Changchun University of Science and Technology,Changchun,China,130022","Jilin Branch China Tower Corporation Limited,Changchun,China,130028"],"affiliations":[{"raw_affiliation_string":"Electronic Information Engineering Institute Changchun University of Science and Technology,Changchun,China,130022","institution_ids":["https://openalex.org/I106645853","https://openalex.org/I49232843","https://openalex.org/I4210143016"]},{"raw_affiliation_string":"Jilin Branch China Tower Corporation Limited,Changchun,China,130028","institution_ids":["https://openalex.org/I4210087986"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5132544417","display_name":"Zhanfeng Zhang","orcid":null},"institutions":[{"id":"https://openalex.org/I4210087986","display_name":"Changchun Discovery Sciences (China)","ror":"https://ror.org/007e7b187","country_code":"CN","type":"company","lineage":["https://openalex.org/I4210087986"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhanfeng Zhang","raw_affiliation_strings":["Jilin Branch China Tower Corporation Limited,Changchun,China,130028"],"affiliations":[{"raw_affiliation_string":"Jilin Branch China Tower Corporation Limited,Changchun,China,130028","institution_ids":["https://openalex.org/I4210087986"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5126921338","display_name":"Xiaofeng An","orcid":null},"institutions":[{"id":"https://openalex.org/I149240348","display_name":"Jilin Normal University","ror":"https://ror.org/00xtsag93","country_code":"CN","type":"education","lineage":["https://openalex.org/I149240348"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiaofeng An","raw_affiliation_strings":["Jilin Engineering Normal University,Education Quality Monitoring Center,130052"],"affiliations":[{"raw_affiliation_string":"Jilin Engineering Normal University,Education Quality Monitoring Center,130052","institution_ids":["https://openalex.org/I149240348"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5132706002"],"corresponding_institution_ids":["https://openalex.org/I106645853","https://openalex.org/I4210087986","https://openalex.org/I4210143016","https://openalex.org/I49232843"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.93180426,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"540","last_page":"543"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10616","display_name":"Smart Agriculture and AI","score":0.875,"subfield":{"id":"https://openalex.org/subfields/1110","display_name":"Plant Science"},"field":{"id":"https://openalex.org/fields/11","display_name":"Agricultural and Biological Sciences"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},"topics":[{"id":"https://openalex.org/T10616","display_name":"Smart Agriculture and AI","score":0.875,"subfield":{"id":"https://openalex.org/subfields/1110","display_name":"Plant Science"},"field":{"id":"https://openalex.org/fields/11","display_name":"Agricultural and Biological Sciences"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},{"id":"https://openalex.org/T10036","display_name":"Advanced Neural Network Applications","score":0.0658000037074089,"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/T13918","display_name":"Advanced Data and IoT Technologies","score":0.003599999938160181,"subfield":{"id":"https://openalex.org/subfields/2208","display_name":"Electrical and Electronic 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/context","display_name":"Context (archaeology)","score":0.6140999794006348},{"id":"https://openalex.org/keywords/residual","display_name":"Residual","score":0.5073999762535095},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.4968000054359436},{"id":"https://openalex.org/keywords/object-detection","display_name":"Object detection","score":0.49549999833106995},{"id":"https://openalex.org/keywords/field","display_name":"Field (mathematics)","score":0.47350001335144043},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.45719999074935913},{"id":"https://openalex.org/keywords/identification","display_name":"Identification (biology)","score":0.43799999356269836},{"id":"https://openalex.org/keywords/sensor-fusion","display_name":"Sensor fusion","score":0.3944000005722046}],"concepts":[{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.6140999794006348},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5651000142097473},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5184000134468079},{"id":"https://openalex.org/C155512373","wikidata":"https://www.wikidata.org/wiki/Q287450","display_name":"Residual","level":2,"score":0.5073999762535095},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.4968000054359436},{"id":"https://openalex.org/C2776151529","wikidata":"https://www.wikidata.org/wiki/Q3045304","display_name":"Object detection","level":3,"score":0.49549999833106995},{"id":"https://openalex.org/C9652623","wikidata":"https://www.wikidata.org/wiki/Q190109","display_name":"Field (mathematics)","level":2,"score":0.47350001335144043},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.45719999074935913},{"id":"https://openalex.org/C116834253","wikidata":"https://www.wikidata.org/wiki/Q2039217","display_name":"Identification (biology)","level":2,"score":0.43799999356269836},{"id":"https://openalex.org/C33954974","wikidata":"https://www.wikidata.org/wiki/Q486494","display_name":"Sensor fusion","level":2,"score":0.3944000005722046},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.3862999975681305},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3750999867916107},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3555000126361847},{"id":"https://openalex.org/C127162648","wikidata":"https://www.wikidata.org/wiki/Q16858953","display_name":"Channel (broadcasting)","level":2,"score":0.31150001287460327},{"id":"https://openalex.org/C158525013","wikidata":"https://www.wikidata.org/wiki/Q2593739","display_name":"Fusion","level":2,"score":0.30790001153945923},{"id":"https://openalex.org/C64876066","wikidata":"https://www.wikidata.org/wiki/Q5141226","display_name":"Cognitive neuroscience of visual object recognition","level":3,"score":0.2847000062465668},{"id":"https://openalex.org/C120217122","wikidata":"https://www.wikidata.org/wiki/Q740083","display_name":"Precision agriculture","level":3,"score":0.2809999883174896},{"id":"https://openalex.org/C22508944","wikidata":"https://www.wikidata.org/wiki/Q568174","display_name":"PEST analysis","level":2,"score":0.27900001406669617},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.26820001006126404},{"id":"https://openalex.org/C159620131","wikidata":"https://www.wikidata.org/wiki/Q1938983","display_name":"Spatial analysis","level":2,"score":0.2615000009536743},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.25760000944137573},{"id":"https://openalex.org/C69744172","wikidata":"https://www.wikidata.org/wiki/Q860822","display_name":"Image fusion","level":3,"score":0.251800000667572},{"id":"https://openalex.org/C83665646","wikidata":"https://www.wikidata.org/wiki/Q42139305","display_name":"Feature vector","level":2,"score":0.2502000033855438}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/cnml68938.2026.11452317","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cnml68938.2026.11452317","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2026 International Conference on Communication Networks and Machine Learning (CNML)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/2","display_name":"Zero hunger","score":0.7324960231781006}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":7,"referenced_works":["https://openalex.org/W4388297084","https://openalex.org/W4400211846","https://openalex.org/W4404134918","https://openalex.org/W4409473899","https://openalex.org/W4411346489","https://openalex.org/W4411467017","https://openalex.org/W4415494645"],"related_works":[],"abstract_inverted_index":{"Rapid":[0],"and":[1,58,66,73,81,102,142,160],"accurate":[2],"identification":[3,148],"of":[4,19,85,150],"rice":[5,25,123,151],"pests":[6,152],"is":[7,47,95],"crucial":[8],"for":[9,164],"ensuring":[10],"food":[11],"security.":[12],"Addressing":[13],"the":[14,40,79,122,128,133,147],"insufficient":[15],"feature":[16,71],"extraction":[17],"capability":[18],"traditional":[20],"YOLO":[21],"in":[22,97,136,153],"detecting":[23],"small":[24],"pests,":[26],"this":[27],"paper":[28],"proposes":[29],"a":[30],"staged":[31],"triple":[32,44,93],"attention":[33,45,94],"fusion":[34,65],"object":[35],"detection":[36],"method":[37],"based":[38,77],"on":[39,78,121],"YOLOv8":[41,135],"framework.":[42],"A":[43],"module":[46],"constructed":[48],"comprising":[49],"Efficient":[50],"Channel":[51],"Attention":[52,55],"(ECA),":[53],"Simultaneous":[54],"Modulation":[56],"(SimAM),":[57],"Global":[59],"Context":[60],"Blocks":[61],"(GC).":[62],"Adaptive":[63],"weight":[64],"learnable":[67],"residual":[68],"scaling":[69],"enhance":[70],"expression":[72],"training":[74],"stability.":[75],"Simultaneously,":[76],"semantic":[80],"spatial":[82],"distribution":[83],"characteristics":[84],"features":[86],"at":[87,99],"different":[88],"scales,":[89],"partial":[90],"or":[91],"complete":[92],"embedded":[96],"stages":[98],"shallow,":[100],"intermediate,":[101],"deep":[103],"layers.":[104],"This":[105],"approach":[106],"highlights":[107],"local":[108],"textures":[109],"while":[110,115],"capturing":[111],"global":[112],"context,":[113],"all":[114],"controlling":[116],"computational":[117],"overhead.":[118],"Experimental":[119],"results":[120],"pest":[124,167],"dataset":[125],"demonstrate":[126],"that":[127],"improved":[129],"model":[130],"significantly":[131],"outperforms":[132],"original":[134],"metrics":[137],"such":[138],"as":[139],"Precision,":[140],"Recall,":[141],"mAP.":[143],"It":[144],"effectively":[145],"enhances":[146],"accuracy":[149],"complex":[154],"field":[155],"scenarios,":[156],"providing":[157],"an":[158],"efficient":[159],"reliable":[161],"technical":[162],"solution":[163],"intelligent":[165],"agricultural":[166],"monitoring":[168],"systems.":[169]},"counts_by_year":[],"updated_date":"2026-04-02T13:53:19.096889","created_date":"2026-04-02T00:00:00"}
