{"id":"https://openalex.org/W4401646943","doi":"https://doi.org/10.3390/s24165305","title":"Semantic Segmentation Network Based on Adaptive Attention and Deep Fusion Utilizing a Multi-Scale Dilated Convolutional Pyramid","display_name":"Semantic Segmentation Network Based on Adaptive Attention and Deep Fusion Utilizing a Multi-Scale Dilated Convolutional Pyramid","publication_year":2024,"publication_date":"2024-08-16","ids":{"openalex":"https://openalex.org/W4401646943","doi":"https://doi.org/10.3390/s24165305","pmid":"https://pubmed.ncbi.nlm.nih.gov/39205000"},"language":"en","primary_location":{"id":"doi:10.3390/s24165305","is_oa":true,"landing_page_url":"https://doi.org/10.3390/s24165305","pdf_url":null,"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://doi.org/10.3390/s24165305","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":false,"raw_author_name":"Shan Zhao","raw_affiliation_strings":["School of Software, Henan Polytechnic University, Jiaozuo 454000, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Software, Henan Polytechnic University, Jiaozuo 454000, China","institution_ids":["https://openalex.org/I4210166499"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5115597551","display_name":"Zihao Wang","orcid":"https://orcid.org/0009-0005-1043-2215"},"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":"Zihao Wang","raw_affiliation_strings":["School of Software, Henan Polytechnic University, Jiaozuo 454000, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Software, Henan Polytechnic University, Jiaozuo 454000, China","institution_ids":["https://openalex.org/I4210166499"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5017764646","display_name":"Zhanqiang Huo","orcid":"https://orcid.org/0000-0001-9243-5009"},"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":"Zhanqiang Huo","raw_affiliation_strings":["School of Software, Henan Polytechnic University, Jiaozuo 454000, China"],"raw_orcid":"https://orcid.org/0000-0001-9243-5009","affiliations":[{"raw_affiliation_string":"School of Software, Henan Polytechnic University, 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, Jiaozuo 454000, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Software, Henan Polytechnic University, Jiaozuo 454000, China","institution_ids":["https://openalex.org/I4210166499"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5115597551"],"corresponding_institution_ids":["https://openalex.org/I4210166499"],"apc_list":{"value":2400,"currency":"CHF","value_usd":2673},"apc_paid":{"value":2400,"currency":"CHF","value_usd":2673},"fwci":0.4935,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.60232107,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":98,"max":99},"biblio":{"volume":"24","issue":"16","first_page":"5305","last_page":"5305"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10036","display_name":"Advanced Neural Network Applications","score":0.9994000196456909,"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":0.9994000196456909,"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":0.9894999861717224,"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/T10331","display_name":"Video Surveillance and Tracking Methods","score":0.9890000224113464,"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":0.7527648210525513},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7127268314361572},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.6309068202972412},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5858579874038696},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.5527763962745667},{"id":"https://openalex.org/keywords/scale","display_name":"Scale (ratio)","score":0.4963284134864807},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.4186505079269409},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.3585518002510071},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.33942294120788574},{"id":"https://openalex.org/keywords/cartography","display_name":"Cartography","score":0.07459315657615662}],"concepts":[{"id":"https://openalex.org/C142575187","wikidata":"https://www.wikidata.org/wiki/Q3358290","display_name":"Pyramid (geometry)","level":2,"score":0.7527648210525513},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7127268314361572},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.6309068202972412},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5858579874038696},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.5527763962745667},{"id":"https://openalex.org/C2778755073","wikidata":"https://www.wikidata.org/wiki/Q10858537","display_name":"Scale (ratio)","level":2,"score":0.4963284134864807},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.4186505079269409},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.3585518002510071},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.33942294120788574},{"id":"https://openalex.org/C58640448","wikidata":"https://www.wikidata.org/wiki/Q42515","display_name":"Cartography","level":1,"score":0.07459315657615662},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"score":0.0},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0}],"mesh":[],"locations_count":4,"locations":[{"id":"doi:10.3390/s24165305","is_oa":true,"landing_page_url":"https://doi.org/10.3390/s24165305","pdf_url":null,"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:39205000","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/39205000","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:11359814","is_oa":true,"landing_page_url":"https://www.ncbi.nlm.nih.gov/pmc/articles/11359814","pdf_url":null,"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:6e238a39e5e94eadb2790f42a42c7e04","is_oa":false,"landing_page_url":"https://doaj.org/article/6e238a39e5e94eadb2790f42a42c7e04","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":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Sensors, Vol 24, Iss 16, p 5305 (2024)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.3390/s24165305","is_oa":true,"landing_page_url":"https://doi.org/10.3390/s24165305","pdf_url":null,"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":[{"display_name":"No poverty","score":0.5799999833106995,"id":"https://metadata.un.org/sdg/1"}],"awards":[{"id":"https://openalex.org/G1185905565","display_name":null,"funder_award_id":"NSFRF240820","funder_id":"https://openalex.org/F4320323845","funder_display_name":"Natural Science Foundation of Henan Province"},{"id":"https://openalex.org/G1261958456","display_name":null,"funder_award_id":"NSFRF240820","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"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/G4158630035","display_name":null,"funder_award_id":"202102210167","funder_id":"https://openalex.org/F4320323845","funder_display_name":"Natural Science Foundation of Henan Province"},{"id":"https://openalex.org/G5099380602","display_name":null,"funder_award_id":"242300420284","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G6117598420","display_name":null,"funder_award_id":"62273292","funder_id":"https://openalex.org/F4320323845","funder_display_name":"Natural Science Foundation of Henan Province"},{"id":"https://openalex.org/G7218157673","display_name":null,"funder_award_id":"61602157","funder_id":"https://openalex.org/F4320323845","funder_display_name":"Natural Science Foundation of Henan Province"},{"id":"https://openalex.org/G8454719412","display_name":null,"funder_award_id":"62273292","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"},{"id":"https://openalex.org/G8774396262","display_name":null,"funder_award_id":"242300420284","funder_id":"https://openalex.org/F4320323845","funder_display_name":"Natural Science Foundation of Henan Province"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320323845","display_name":"Natural Science Foundation of Henan Province","ror":null}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":47,"referenced_works":["https://openalex.org/W1901129140","https://openalex.org/W2006982476","https://openalex.org/W2017745767","https://openalex.org/W2114563034","https://openalex.org/W2116510815","https://openalex.org/W2133059825","https://openalex.org/W2145023731","https://openalex.org/W2163605009","https://openalex.org/W2194775991","https://openalex.org/W2884585870","https://openalex.org/W2886934227","https://openalex.org/W2899411857","https://openalex.org/W2922509574","https://openalex.org/W2955058313","https://openalex.org/W2963163009","https://openalex.org/W2963881378","https://openalex.org/W2964309882","https://openalex.org/W2968614659","https://openalex.org/W3025800305","https://openalex.org/W3034552520","https://openalex.org/W3109301572","https://openalex.org/W3138136606","https://openalex.org/W3138516171","https://openalex.org/W3141920857","https://openalex.org/W3157528469","https://openalex.org/W3170841864","https://openalex.org/W3176172082","https://openalex.org/W3196904463","https://openalex.org/W3211490618","https://openalex.org/W4296544717","https://openalex.org/W4306248832","https://openalex.org/W4312349930","https://openalex.org/W4321232185","https://openalex.org/W4322747009","https://openalex.org/W4387757656","https://openalex.org/W4388639954","https://openalex.org/W4390776943","https://openalex.org/W4390882217","https://openalex.org/W4392944624","https://openalex.org/W6676449312","https://openalex.org/W6676884333","https://openalex.org/W6680096826","https://openalex.org/W6684191040","https://openalex.org/W6772565011","https://openalex.org/W6794345597","https://openalex.org/W6797399245","https://openalex.org/W6842806116"],"related_works":["https://openalex.org/W4293226380","https://openalex.org/W4249847449","https://openalex.org/W44395729","https://openalex.org/W4321487865","https://openalex.org/W2765338038","https://openalex.org/W1496225612","https://openalex.org/W4313906399","https://openalex.org/W4391266461","https://openalex.org/W1523500768","https://openalex.org/W2590798552"],"abstract_inverted_index":{"Deep":[0,95],"learning":[1],"has":[2],"recently":[3],"made":[4],"significant":[5,138,197],"progress":[6],"in":[7,54,65,120,177,184,199],"semantic":[8,31,121,158,175],"segmentation.":[9,122],"However,":[10],"the":[11,43,98,105,135,149,174,181,212],"current":[12],"methods":[13],"face":[14],"critical":[15],"challenges.":[16],"The":[17,187],"segmentation":[18,59,161],"process":[19,50],"often":[20],"lacks":[21],"sufficient":[22],"contextual":[23,118],"information":[24,119],"and":[25,33,49,71,94,144,156,160,180,207],"attention":[26],"mechanisms,":[27],"low-level":[28,178],"features":[29,35,139,179],"lack":[30],"richness,":[32],"high-level":[34,185],"suffer":[36],"from":[37],"poor":[38,72],"resolution.":[39],"These":[40],"limitations":[41],"reduce":[42],"model's":[44,150],"ability":[45],"to":[46,58,116,133,172,211],"accurately":[47],"understand":[48],"scene":[51],"details,":[52],"particularly":[53],"complex":[55],"scenarios,":[56],"leading":[57],"outputs":[60],"that":[61],"may":[62],"have":[63],"inaccuracies":[64],"boundary":[66],"delineation,":[67],"misclassification":[68],"of":[69,74,137,189],"regions,":[70],"handling":[73],"small":[75],"or":[76],"overlapping":[77],"objects.":[78],"To":[79],"address":[80,173],"these":[81],"challenges,":[82],"this":[83],"paper":[84],"proposes":[85],"a":[86,124,164],"Semantic":[87,125,165],"Segmentation":[88],"Network":[89],"Based":[90],"on":[91,193],"Adaptive":[92],"Attention":[93],"Fusion":[96,167],"with":[97],"Multi-Scale":[99],"Dilated":[100,106],"Convolutional":[101,107],"Pyramid":[102,110],"(SDAMNet).":[103],"Specifically,":[104],"Atrous":[108],"Spatial":[109],"Pooling":[111],"(DCASPP)":[112],"module":[113],"is":[114,131,170,191],"developed":[115],"enhance":[117],"Additionally,":[123],"Channel":[126],"Space":[127],"Details":[128],"Module":[129,168],"(SCSDM)":[130],"devised":[132],"improve":[134],"extraction":[136],"through":[140],"multi-scale":[141],"feature":[142,146],"fusion":[143],"adaptive":[145],"selection,":[147],"enhancing":[148],"perceptual":[151],"capability":[152],"for":[153],"key":[154],"regions":[155],"optimizing":[157],"understanding":[159],"performance.":[162],"Furthermore,":[163],"Features":[166],"(SFFM)":[169],"constructed":[171],"deficiency":[176],"low":[182],"resolution":[183],"features.":[186],"effectiveness":[188],"SDAMNet":[190],"demonstrated":[192],"two":[194],"datasets,":[195],"revealing":[196],"improvements":[198],"Mean":[200],"Intersection":[201],"over":[202],"Union":[203],"(MIOU)":[204],"by":[205],"2.89%":[206],"2.13%,":[208],"respectively,":[209],"compared":[210],"Deeplabv3+":[213],"network.":[214]},"counts_by_year":[{"year":2026,"cited_by_count":3}],"updated_date":"2026-07-22T07:51:19.307946","created_date":"2025-10-10T00:00:00"}