{"id":"https://openalex.org/W4394888042","doi":"https://doi.org/10.1007/s40747-024-01428-w","title":"MAFNet: dual-branch fusion network with multiscale atrous pyramid pooling aggregate contextual features for real-time semantic segmentation","display_name":"MAFNet: dual-branch fusion network with multiscale atrous pyramid pooling aggregate contextual features for real-time semantic segmentation","publication_year":2024,"publication_date":"2024-04-17","ids":{"openalex":"https://openalex.org/W4394888042","doi":"https://doi.org/10.1007/s40747-024-01428-w"},"language":"en","primary_location":{"id":"doi:10.1007/s40747-024-01428-w","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s40747-024-01428-w","pdf_url":"https://link.springer.com/content/pdf/10.1007/s40747-024-01428-w.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","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Complex &amp; 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/s40747-024-01428-w.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5008698127","display_name":"Shan Zhao","orcid":"https://orcid.org/0000-0002-3376-6649"},"institutions":[{"id":"https://openalex.org/I4210166499","display_name":"Henan Polytechnic University","ror":"https://ror.org/05vr1c885","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210166499"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Shan Zhao","raw_affiliation_strings":["School of Software, Henan Polytechnic University, 2001 Century Avenue, Jiaozuo, 454000, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Software, Henan Polytechnic University, 2001 Century Avenue, Jiaozuo, 454000, China","institution_ids":["https://openalex.org/I4210166499"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5004290242","display_name":"Yunlei Wang","orcid":"https://orcid.org/0009-0007-1819-5212"},"institutions":[{"id":"https://openalex.org/I4210166499","display_name":"Henan Polytechnic University","ror":"https://ror.org/05vr1c885","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210166499"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yunlei Wang","raw_affiliation_strings":["School of Software, Henan Polytechnic University, 2001 Century Avenue, Jiaozuo, 454000, China"],"raw_orcid":"https://orcid.org/0009-0007-1819-5212","affiliations":[{"raw_affiliation_string":"School of Software, Henan Polytechnic University, 2001 Century Avenue, Jiaozuo, 454000, China","institution_ids":["https://openalex.org/I4210166499"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5072620654","display_name":"Xuan Wu","orcid":"https://orcid.org/0000-0002-1640-6043"},"institutions":[{"id":"https://openalex.org/I4210166499","display_name":"Henan Polytechnic University","ror":"https://ror.org/05vr1c885","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210166499"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xuan Wu","raw_affiliation_strings":["School of Software, Henan Polytechnic University, 2001 Century Avenue, Jiaozuo, 454000, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Software, Henan Polytechnic University, 2001 Century Avenue, Jiaozuo, 454000, China","institution_ids":["https://openalex.org/I4210166499"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5062946377","display_name":"Fukai Zhang","orcid":"https://orcid.org/0000-0002-7378-3478"},"institutions":[{"id":"https://openalex.org/I4210166499","display_name":"Henan Polytechnic University","ror":"https://ror.org/05vr1c885","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210166499"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Fukai Zhang","raw_affiliation_strings":["School of Software, Henan Polytechnic University, 2001 Century Avenue, Jiaozuo, 454000, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Software, Henan Polytechnic University, 2001 Century Avenue, Jiaozuo, 454000, China","institution_ids":["https://openalex.org/I4210166499"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5008698127"],"corresponding_institution_ids":["https://openalex.org/I4210166499"],"apc_list":{"value":1320,"currency":"GBP","value_usd":1619},"apc_paid":{"value":1320,"currency":"GBP","value_usd":1619},"fwci":1.6665,"has_fulltext":true,"cited_by_count":7,"citation_normalized_percentile":{"value":0.84515381,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":98},"biblio":{"volume":"10","issue":"4","first_page":"5107","last_page":"5126"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10036","display_name":"Advanced Neural Network Applications","score":0.9998999834060669,"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":0.9998999834060669,"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":0.996999979019165,"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/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.9940000176429749,"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/pyramid","display_name":"Pyramid (geometry)","score":0.8239527344703674},{"id":"https://openalex.org/keywords/pooling","display_name":"Pooling","score":0.8072154521942139},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6978832483291626},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6590642929077148},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.594104528427124},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5818712115287781},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.5183221101760864},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.49849724769592285},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.19183620810508728}],"concepts":[{"id":"https://openalex.org/C142575187","wikidata":"https://www.wikidata.org/wiki/Q3358290","display_name":"Pyramid (geometry)","level":2,"score":0.8239527344703674},{"id":"https://openalex.org/C70437156","wikidata":"https://www.wikidata.org/wiki/Q7228652","display_name":"Pooling","level":2,"score":0.8072154521942139},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6978832483291626},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6590642929077148},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.594104528427124},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5818712115287781},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.5183221101760864},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.49849724769592285},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.19183620810508728},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1007/s40747-024-01428-w","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s40747-024-01428-w","pdf_url":"https://link.springer.com/content/pdf/10.1007/s40747-024-01428-w.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","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Complex &amp; Intelligent Systems","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:ff1a76ea65a1463cba554ef023f127aa","is_oa":true,"landing_page_url":"https://doaj.org/article/ff1a76ea65a1463cba554ef023f127aa","pdf_url":null,"source":{"id":"https://openalex.org/S112646816","display_name":"SHILAP Revista de lepidopterolog\u00eda","issn_l":"0300-5267","issn":["0300-5267","2340-4078"],"is_oa":true,"is_in_doaj":true,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Complex & Intelligent Systems, Vol 10, Iss 4, Pp 5107-5126 (2024)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1007/s40747-024-01428-w","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s40747-024-01428-w","pdf_url":"https://link.springer.com/content/pdf/10.1007/s40747-024-01428-w.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","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Complex &amp; Intelligent Systems","raw_type":"journal-article"},"sustainable_development_goals":[{"display_name":"Sustainable cities and communities","id":"https://metadata.un.org/sdg/11","score":0.44999998807907104}],"awards":[{"id":"https://openalex.org/G1522100992","display_name":null,"funder_award_id":"61602157","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G8642817995","display_name":null,"funder_award_id":"202102210167","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/W4394888042.pdf"},"referenced_works_count":40,"referenced_works":["https://openalex.org/W1901129140","https://openalex.org/W1903029394","https://openalex.org/W1913356549","https://openalex.org/W2117539524","https://openalex.org/W2194775991","https://openalex.org/W2340897893","https://openalex.org/W2412782625","https://openalex.org/W2560023338","https://openalex.org/W2762439315","https://openalex.org/W2884436604","https://openalex.org/W2886934227","https://openalex.org/W2928165649","https://openalex.org/W2962858109","https://openalex.org/W2963176324","https://openalex.org/W2963418739","https://openalex.org/W2963419596","https://openalex.org/W2963516811","https://openalex.org/W2963604034","https://openalex.org/W2963890956","https://openalex.org/W2964217532","https://openalex.org/W2964309882","https://openalex.org/W3011933327","https://openalex.org/W3035531015","https://openalex.org/W3035682985","https://openalex.org/W3110440461","https://openalex.org/W3169865585","https://openalex.org/W3172265425","https://openalex.org/W3196904463","https://openalex.org/W4382051552","https://openalex.org/W4383101221","https://openalex.org/W4385494090","https://openalex.org/W4386076267","https://openalex.org/W4388031272","https://openalex.org/W4388415779","https://openalex.org/W4389236291","https://openalex.org/W6600075759","https://openalex.org/W6601283680","https://openalex.org/W6601946118","https://openalex.org/W6602411596","https://openalex.org/W6813786336"],"related_works":["https://openalex.org/W2022849497","https://openalex.org/W3081299480","https://openalex.org/W2407190427","https://openalex.org/W2907584218","https://openalex.org/W2919210741","https://openalex.org/W3002446410","https://openalex.org/W4390224712","https://openalex.org/W4322096758","https://openalex.org/W4206776094","https://openalex.org/W3121197456"],"abstract_inverted_index":{"Abstract":[0],"Currently,":[1],"many":[2],"real-time":[3,58],"semantic":[4,59],"segmentation":[5,60],"networks":[6],"aim":[7],"for":[8,57,90],"heightened":[9],"accuracy,":[10],"inevitably":[11],"leading":[12],"to":[13,167],"increased":[14],"computational":[15],"complexity":[16],"and":[17,27,78,93,216,240],"reduced":[18],"inference":[19],"speed.":[20,241],"Therefore,":[21],"striking":[22],"a":[23,32,45,149,194,200,236],"balance":[24,168,237],"between":[25,172,238],"accuracy":[26,239],"speed":[28],"has":[29],"emerged":[30],"as":[31],"crucial":[33],"concern":[34],"in":[35],"this":[36,42],"domain.":[37],"To":[38,137,182],"address":[39],"these":[40],"challenges,":[41],"study":[43],"proposes":[44],"dual-branch":[46,166],"fusion":[47,141,151],"network":[48],"with":[49,112],"multiscale":[50,100],"atrous":[51,101],"pyramid":[52,102,114],"pooling":[53,103,115],"aggregate":[54],"contextual":[55,133],"features":[56],"(MAFNet).":[61],"The":[62,96,227],"first":[63],"key":[64],"component,":[65,98],"the":[66,99,126,140,147,165,169,173,184,187,212,223],"semantics":[67],"guide":[68],"spatial-details":[69],"module":[70,104,152,157],"(SGSDM)":[71],"not":[72,123],"only":[73,124],"facilitates":[74],"precise":[75],"boundary":[76],"extraction":[77],"fine-grained":[79],"classification,":[80],"but":[81,129],"also":[82,130],"provides":[83],"semantic-based":[84],"feature":[85,113,143,179],"representation,":[86],"thereby":[87,176],"enhancing":[88],"support":[89],"spatial":[91],"analysis":[92],"decision":[94],"boundaries.":[95],"second":[97],"(MSAPPM),":[105],"is":[106,154],"designed":[107],"by":[108,146,160,164],"combining":[109],"dilation":[110,119],"convolution":[111],"operations":[116],"at":[117,208,219],"various":[118],"rates.":[120],"This":[121,156],"design":[122],"expands":[125],"receptive":[127],"field,":[128],"aggregates":[131],"rich":[132],"information":[134,144,180],"more":[135],"effectively.":[136],"further":[138],"improve":[139],"of":[142,186,206],"generated":[145,163],"dual-branch,":[148],"bilateral":[150],"(BFM)":[153],"introduced.":[155],"employs":[158],"cross-fusion":[159],"calculating":[161],"weights":[162],"weight":[170],"relationship":[171],"dual":[174],"branches,":[175],"achieving":[177],"effective":[178],"fusion.":[181],"validate":[183],"effectiveness":[185],"proposed":[188],"network,":[189],"experiments":[190],"are":[191],"conducted":[192],"on":[193,211,222],"single":[195],"A100":[196],"GPU.":[197],"MAFNet":[198,233],"achieves":[199],"mean":[201],"intersection":[202],"over":[203],"union":[204],"(mIoU)":[205],"77.4%":[207],"70.9":[209],"FPS":[210,221],"Cityscapes":[213],"test":[214,225],"dataset":[215],"77.6%":[217],"mIoU":[218],"192.5":[220],"CamVid":[224],"dataset.":[226],"experimental":[228],"results":[229],"conclusively":[230],"demonstrated":[231],"that":[232],"effectively":[234],"strikes":[235]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":4},{"year":2024,"cited_by_count":2}],"updated_date":"2025-12-19T19:40:27.379048","created_date":"2025-10-10T00:00:00"}
