{"id":"https://openalex.org/W4413496596","doi":"https://doi.org/10.1142/s0129065725500650","title":"A Compound-Eye-Inspired Multi-Scale Neural Architecture with Integrated Attention Mechanisms","display_name":"A Compound-Eye-Inspired Multi-Scale Neural Architecture with Integrated Attention Mechanisms","publication_year":2025,"publication_date":"2025-08-25","ids":{"openalex":"https://openalex.org/W4413496596","doi":"https://doi.org/10.1142/s0129065725500650","pmid":"https://pubmed.ncbi.nlm.nih.gov/40977126"},"language":"en","primary_location":{"id":"doi:10.1142/s0129065725500650","is_oa":false,"landing_page_url":"https://doi.org/10.1142/s0129065725500650","pdf_url":null,"source":{"id":"https://openalex.org/S197665576","display_name":"International Journal of Neural Systems","issn_l":"0129-0657","issn":["0129-0657","1793-6462"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319815","host_organization_name":"World Scientific","host_organization_lineage":["https://openalex.org/P4310319815"],"host_organization_lineage_names":["World Scientific"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Neural Systems","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","pubmed"],"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/A5063214931","display_name":"Ferrante Neri","orcid":"https://orcid.org/0000-0002-6100-6532"},"institutions":[{"id":"https://openalex.org/I200845125","display_name":"Nanjing University of Information Science and Technology","ror":"https://ror.org/02y0rxk19","country_code":"CN","type":"education","lineage":["https://openalex.org/I200845125"]},{"id":"https://openalex.org/I28290843","display_name":"University of Surrey","ror":"https://ror.org/00ks66431","country_code":"GB","type":"education","lineage":["https://openalex.org/I28290843"]}],"countries":["CN","GB"],"is_corresponding":true,"raw_author_name":"Ferrante Neri","raw_affiliation_strings":["Nanjing University of Information Science and Technology, Nanjing, Jiangsu 210044, P.\u00a0R.\u00a0China","School of Computer Science and Electronic Engineering, University of Surrey, Stag Hill, University Campus, Guildford, Surrey GU2 7XH, United Kingdom"],"raw_orcid":"https://orcid.org/0000-0002-6100-6532","affiliations":[{"raw_affiliation_string":"Nanjing University of Information Science and Technology, Nanjing, Jiangsu 210044, P.\u00a0R.\u00a0China","institution_ids":["https://openalex.org/I200845125"]},{"raw_affiliation_string":"School of Computer Science and Electronic Engineering, University of Surrey, Stag Hill, University Campus, Guildford, Surrey GU2 7XH, United Kingdom","institution_ids":["https://openalex.org/I28290843"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5019733702","display_name":"Mengchen Yang","orcid":null},"institutions":[{"id":"https://openalex.org/I200845125","display_name":"Nanjing University of Information Science and Technology","ror":"https://ror.org/02y0rxk19","country_code":"CN","type":"education","lineage":["https://openalex.org/I200845125"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Mengchen Yang","raw_affiliation_strings":["Nanjing University of Information Science and Technology, Nanjing, Jiangsu 210044, P.\u00a0R.\u00a0China"],"raw_orcid":"https://orcid.org/0009-0000-2708-6092","affiliations":[{"raw_affiliation_string":"Nanjing University of Information Science and Technology, Nanjing, Jiangsu 210044, P.\u00a0R.\u00a0China","institution_ids":["https://openalex.org/I200845125"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5012475436","display_name":"Yu Xue","orcid":"https://orcid.org/0000-0002-9069-7547"},"institutions":[{"id":"https://openalex.org/I200845125","display_name":"Nanjing University of Information Science and Technology","ror":"https://ror.org/02y0rxk19","country_code":"CN","type":"education","lineage":["https://openalex.org/I200845125"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yu Xue","raw_affiliation_strings":["Nanjing University of Information Science and Technology, Nanjing, Jiangsu 210044, P.\u00a0R.\u00a0China"],"raw_orcid":"https://orcid.org/0000-0002-9069-7547","affiliations":[{"raw_affiliation_string":"Nanjing University of Information Science and Technology, Nanjing, Jiangsu 210044, P.\u00a0R.\u00a0China","institution_ids":["https://openalex.org/I200845125"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5063214931"],"corresponding_institution_ids":["https://openalex.org/I200845125","https://openalex.org/I28290843"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.31182658,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"35","issue":"13","first_page":"2550065","last_page":"2550065"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T13114","display_name":"Image Processing Techniques and Applications","score":0.8640000224113464,"subfield":{"id":"https://openalex.org/subfields/2214","display_name":"Media Technology"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T13114","display_name":"Image Processing Techniques and Applications","score":0.8640000224113464,"subfield":{"id":"https://openalex.org/subfields/2214","display_name":"Media Technology"},"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/T11707","display_name":"Gaze Tracking and Assistive Technology","score":0.8515999913215637,"subfield":{"id":"https://openalex.org/subfields/1709","display_name":"Human-Computer Interaction"},"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/T11992","display_name":"CCD and CMOS Imaging Sensors","score":0.8507000207901001,"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/computer-science","display_name":"Computer science","score":0.6227051615715027},{"id":"https://openalex.org/keywords/architecture","display_name":"Architecture","score":0.5819985866546631},{"id":"https://openalex.org/keywords/scale","display_name":"Scale (ratio)","score":0.5303885340690613},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4765784740447998},{"id":"https://openalex.org/keywords/computer-architecture","display_name":"Computer architecture","score":0.4218376576900482},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.06976202130317688},{"id":"https://openalex.org/keywords/cartography","display_name":"Cartography","score":0.06525900959968567}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6227051615715027},{"id":"https://openalex.org/C123657996","wikidata":"https://www.wikidata.org/wiki/Q12271","display_name":"Architecture","level":2,"score":0.5819985866546631},{"id":"https://openalex.org/C2778755073","wikidata":"https://www.wikidata.org/wiki/Q10858537","display_name":"Scale (ratio)","level":2,"score":0.5303885340690613},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4765784740447998},{"id":"https://openalex.org/C118524514","wikidata":"https://www.wikidata.org/wiki/Q173212","display_name":"Computer architecture","level":1,"score":0.4218376576900482},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.06976202130317688},{"id":"https://openalex.org/C58640448","wikidata":"https://www.wikidata.org/wiki/Q42515","display_name":"Cartography","level":1,"score":0.06525900959968567},{"id":"https://openalex.org/C166957645","wikidata":"https://www.wikidata.org/wiki/Q23498","display_name":"Archaeology","level":1,"score":0.0}],"mesh":[{"descriptor_ui":"D001288","descriptor_name":"Attention","qualifier_ui":"Q000502","qualifier_name":"physiology","is_major_topic":true},{"descriptor_ui":"D001288","descriptor_name":"Attention","qualifier_ui":"Q000502","qualifier_name":"physiology","is_major_topic":true},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D007091","descriptor_name":"Image Processing, Computer-Assisted","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":true},{"descriptor_ui":"D007091","descriptor_name":"Image Processing, Computer-Assisted","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":true},{"descriptor_ui":"D008959","descriptor_name":"Models, Neurological","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D008959","descriptor_name":"Models, Neurological","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D016571","descriptor_name":"Neural Networks, Computer","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D016571","descriptor_name":"Neural Networks, Computer","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true}],"locations_count":2,"locations":[{"id":"doi:10.1142/s0129065725500650","is_oa":false,"landing_page_url":"https://doi.org/10.1142/s0129065725500650","pdf_url":null,"source":{"id":"https://openalex.org/S197665576","display_name":"International Journal of Neural Systems","issn_l":"0129-0657","issn":["0129-0657","1793-6462"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319815","host_organization_name":"World Scientific","host_organization_lineage":["https://openalex.org/P4310319815"],"host_organization_lineage_names":["World Scientific"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Neural Systems","raw_type":"journal-article"},{"id":"pmid:40977126","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/40977126","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":"International journal of neural systems","raw_type":null}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G1272197209","display_name":null,"funder_award_id":"61403206","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G2383022881","display_name":null,"funder_award_id":"61876089","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G2502571905","display_name":null,"funder_award_id":"62376127","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G4580289827","display_name":null,"funder_award_id":"61876185","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G7800967748","display_name":null,"funder_award_id":"61902281","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":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":48,"referenced_works":["https://openalex.org/W1903029394","https://openalex.org/W2412782625","https://openalex.org/W2563705555","https://openalex.org/W2565639579","https://openalex.org/W2752782242","https://openalex.org/W2884436604","https://openalex.org/W2884585870","https://openalex.org/W2955058313","https://openalex.org/W2963037989","https://openalex.org/W2963857746","https://openalex.org/W2963881378","https://openalex.org/W2964444661","https://openalex.org/W2992989584","https://openalex.org/W3007268491","https://openalex.org/W3015788359","https://openalex.org/W3034552520","https://openalex.org/W3082062168","https://openalex.org/W3088257970","https://openalex.org/W3103298250","https://openalex.org/W3126335003","https://openalex.org/W3138516171","https://openalex.org/W3177052299","https://openalex.org/W4291189470","https://openalex.org/W4308073689","https://openalex.org/W4311506911","https://openalex.org/W4313007769","https://openalex.org/W4313134080","https://openalex.org/W4313431595","https://openalex.org/W4317742775","https://openalex.org/W4319878658","https://openalex.org/W4323266311","https://openalex.org/W4323306127","https://openalex.org/W4362472185","https://openalex.org/W4378549196","https://openalex.org/W4379382445","https://openalex.org/W4386051124","https://openalex.org/W4387618979","https://openalex.org/W4387731036","https://openalex.org/W4388639954","https://openalex.org/W4390874575","https://openalex.org/W4391107516","https://openalex.org/W4396885590","https://openalex.org/W4399393690","https://openalex.org/W4405733523","https://openalex.org/W4405733540","https://openalex.org/W4405922265","https://openalex.org/W4407818063","https://openalex.org/W4408245732"],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2899084033","https://openalex.org/W2748952813","https://openalex.org/W2390279801","https://openalex.org/W4391913857","https://openalex.org/W2358668433","https://openalex.org/W4396701345","https://openalex.org/W2376932109","https://openalex.org/W2001405890","https://openalex.org/W2038503502"],"abstract_inverted_index":{"In":[0],"the":[1,12,42,49,131,144,150,163,170,185,188,199],"context":[2],"of":[3,15,46,51,152,157,187,193,203],"neural":[4,34,207,210],"system":[5,211],"structure":[6],"modeling":[7,44,212],"and":[8,18,72,87,98,113,130,178,196,213],"complex":[9],"visual":[10],"tasks,":[11],"effective":[13],"integration":[14],"multi-scale":[16,95],"features":[17],"contextual":[19],"information":[20,96],"is":[21,102],"critical":[22],"for":[23],"enhancing":[24],"model":[25,69,146],"performance.":[26,118],"This":[27],"paper":[28],"proposes":[29],"a":[30],"biologically":[31],"inspired":[32],"hybrid":[33,206],"network":[35,61,81],"architecture":[36,190],"-":[37,39],"CompEyeNet":[38,101,134,148],"which":[40],"combines":[41],"global":[43],"capacity":[45],"transformers":[47],"with":[48,138],"efficiency":[50,195],"lightweight":[52],"convolutional":[53],"structures.":[54],"The":[55,75],"backbone":[56,60],"network,":[57,77],"multi-attention":[58],"transformer":[59],"(MATBN),":[62],"integrates":[63],"multiple":[64],"attention":[65,89],"mechanisms":[66],"to":[67,92,124,143],"collaboratively":[68],"local":[70],"details":[71],"long-range":[73],"dependencies.":[74],"neck":[76,80],"compound":[78],"eye":[79],"(CENN),":[82],"introduces":[83],"high-resolution":[84],"feature":[85],"layers":[86],"efficient":[88],"fusion":[90],"modules":[91],"significantly":[93],"enhance":[94],"representation":[97],"reconstruction":[99],"capability.":[100],"evaluated":[103],"on":[104],"three":[105],"authoritative":[106],"medical":[107],"image":[108,214],"segmentation":[109],"datasets:":[110],"MICCAI-CVC-ClinicDB,":[111],"ISIC2018,":[112],"MICCAI-tooth-segmentation,":[114],"demonstrating":[115],"its":[116],"superior":[117],"Experimental":[119],"results":[120],"show":[121],"that":[122],"compared":[123,142],"models":[125],"such":[126],"as":[127],"Deeplab,":[128],"Unet,":[129],"YOLO":[132],"series,":[133],"achieves":[135],"better":[136],"performance":[137,161],"fewer":[139],"parameters.":[140],"Specifically,":[141],"baseline":[145],"YOLOv11,":[147],"reduces":[149],"number":[151],"parameters":[153],"by":[154,168,173,176,180],"an":[155],"average":[156,164],"38.31%.":[158],"On":[159],"key":[160],"metrics,":[162],"Dice":[165],"coefficient":[166],"improves":[167],"0.87%,":[169],"Jaccard":[171],"index":[172],"1.53%,":[174],"Precision":[175],"0.58%,":[177],"Recall":[179],"1.11%.":[181],"These":[182],"findings":[183],"verify":[184],"advantages":[186],"proposed":[189],"in":[191,209],"terms":[192],"parameter":[194],"accuracy,":[197],"highlighting":[198],"broad":[200],"application":[201],"potential":[202],"bio-inspired":[204],"attention-fusion":[205],"networks":[208],"analysis.":[215]},"counts_by_year":[],"updated_date":"2025-12-17T22:08:43.090829","created_date":"2025-10-10T00:00:00"}