{"id":"https://openalex.org/W4410694535","doi":"https://doi.org/10.2298/csis240713051t","title":"Image semantic segmentation based on multi-layer feature information fusion and dual convolutional attention mechanism","display_name":"Image semantic segmentation based on multi-layer feature information fusion and dual convolutional attention mechanism","publication_year":2025,"publication_date":"2025-01-01","ids":{"openalex":"https://openalex.org/W4410694535","doi":"https://doi.org/10.2298/csis240713051t"},"language":"en","primary_location":{"id":"doi:10.2298/csis240713051t","is_oa":true,"landing_page_url":"https://doi.org/10.2298/csis240713051t","pdf_url":"http://www.doiserbia.nb.rs/ft.aspx?id=1820-02142500051T","source":{"id":"https://openalex.org/S206939107","display_name":"Computer Science and Information Systems","issn_l":"1820-0214","issn":["1820-0214","2406-1018"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310321031","host_organization_name":"ComSIS Consortium","host_organization_lineage":["https://openalex.org/P4310321031"],"host_organization_lineage_names":["ComSIS Consortium"],"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":"Computer Science and Information Systems","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"diamond","oa_url":"http://www.doiserbia.nb.rs/ft.aspx?id=1820-02142500051T","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5010369192","display_name":"Lin Teng","orcid":"https://orcid.org/0000-0002-3437-2123"},"institutions":[{"id":"https://openalex.org/I151727225","display_name":"Harbin Engineering University","ror":"https://ror.org/03x80pn82","country_code":"CN","type":"education","lineage":["https://openalex.org/I151727225"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Lin Teng","raw_affiliation_strings":["School of Information and Communication Engineering, Harbin Engineering University, Nangang District, Harbin, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Information and Communication Engineering, Harbin Engineering University, Nangang District, Harbin, China","institution_ids":["https://openalex.org/I151727225"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102006882","display_name":"Yulong Qiao","orcid":"https://orcid.org/0000-0003-1329-6974"},"institutions":[{"id":"https://openalex.org/I151727225","display_name":"Harbin Engineering University","ror":"https://ror.org/03x80pn82","country_code":"CN","type":"education","lineage":["https://openalex.org/I151727225"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yulong Qiao","raw_affiliation_strings":["School of Information and Communication Engineering, Harbin Engineering University, Nangang District, Harbin, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Information and Communication Engineering, Harbin Engineering University, Nangang District, Harbin, China","institution_ids":["https://openalex.org/I151727225"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5115588235","display_name":"Jinfeng Wang","orcid":null},"institutions":[{"id":"https://openalex.org/I66883779","display_name":"Weifang University","ror":"https://ror.org/01frp7483","country_code":"CN","type":"education","lineage":["https://openalex.org/I66883779"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jinfeng Wang","raw_affiliation_strings":["Weifang Vocational College, Weifang, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Weifang Vocational College, Weifang, China","institution_ids":["https://openalex.org/I66883779"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5000856508","display_name":"Mirjana Ivanovi\u0107","orcid":"https://orcid.org/0000-0003-1946-0384"},"institutions":[{"id":"https://openalex.org/I170726198","display_name":"University of Novi Sad","ror":"https://ror.org/00xa57a59","country_code":"RS","type":"education","lineage":["https://openalex.org/I170726198"]}],"countries":["RS"],"is_corresponding":false,"raw_author_name":"Mirjana Ivanovic","raw_affiliation_strings":["Faculty of Sciences, University of Novi Sad, Serbia"],"raw_orcid":"https://orcid.org/0000-0003-1946-0384","affiliations":[{"raw_affiliation_string":"Faculty of Sciences, University of Novi Sad, Serbia","institution_ids":["https://openalex.org/I170726198"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5041576447","display_name":"Shoulin Yin","orcid":"https://orcid.org/0000-0002-5367-1372"},"institutions":[{"id":"https://openalex.org/I151727225","display_name":"Harbin Engineering University","ror":"https://ror.org/03x80pn82","country_code":"CN","type":"education","lineage":["https://openalex.org/I151727225"]},{"id":"https://openalex.org/I32399674","display_name":"Shenyang Normal University","ror":"https://ror.org/05cdfgm80","country_code":"CN","type":"education","lineage":["https://openalex.org/I32399674"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shoulin Yin","raw_affiliation_strings":["School of Information and Communication Engineering, Harbin Engineering University, Nangang District, Harbin, China + Software College, Shenyang Normal University, Shenyang, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Information and Communication Engineering, Harbin Engineering University, Nangang District, Harbin, China + Software College, Shenyang Normal University, Shenyang, China","institution_ids":["https://openalex.org/I32399674","https://openalex.org/I151727225"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5010369192"],"corresponding_institution_ids":["https://openalex.org/I151727225"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":true,"cited_by_count":0,"citation_normalized_percentile":{"value":0.08408614,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":"00","first_page":"51","last_page":"51"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10036","display_name":"Advanced Neural Network Applications","score":0.9987999796867371,"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":0.9987999796867371,"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/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.9898999929428101,"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/T11605","display_name":"Visual Attention and Saliency Detection","score":0.9589999914169312,"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/computer-science","display_name":"Computer science","score":0.8426386117935181},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6598218083381653},{"id":"https://openalex.org/keywords/pyramid","display_name":"Pyramid (geometry)","score":0.6261377930641174},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.6194089651107788},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.5894032120704651},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.5448503494262695},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.5292009115219116},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.46840450167655945},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.4502685070037842},{"id":"https://openalex.org/keywords/fusion-mechanism","display_name":"Fusion mechanism","score":0.43056607246398926},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.41936811804771423},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.3568556606769562},{"id":"https://openalex.org/keywords/fusion","display_name":"Fusion","score":0.10807928442955017}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8426386117935181},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6598218083381653},{"id":"https://openalex.org/C142575187","wikidata":"https://www.wikidata.org/wiki/Q3358290","display_name":"Pyramid (geometry)","level":2,"score":0.6261377930641174},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.6194089651107788},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.5894032120704651},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.5448503494262695},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.5292009115219116},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.46840450167655945},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.4502685070037842},{"id":"https://openalex.org/C173414695","wikidata":"https://www.wikidata.org/wiki/Q5510276","display_name":"Fusion mechanism","level":4,"score":0.43056607246398926},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.41936811804771423},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.3568556606769562},{"id":"https://openalex.org/C158525013","wikidata":"https://www.wikidata.org/wiki/Q2593739","display_name":"Fusion","level":2,"score":0.10807928442955017},{"id":"https://openalex.org/C103038307","wikidata":"https://www.wikidata.org/wiki/Q6556360","display_name":"Lipid bilayer fusion","level":3,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","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},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"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/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.2298/csis240713051t","is_oa":true,"landing_page_url":"https://doi.org/10.2298/csis240713051t","pdf_url":"http://www.doiserbia.nb.rs/ft.aspx?id=1820-02142500051T","source":{"id":"https://openalex.org/S206939107","display_name":"Computer Science and Information Systems","issn_l":"1820-0214","issn":["1820-0214","2406-1018"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310321031","host_organization_name":"ComSIS Consortium","host_organization_lineage":["https://openalex.org/P4310321031"],"host_organization_lineage_names":["ComSIS Consortium"],"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":"Computer Science and Information Systems","raw_type":"journal-article"}],"best_oa_location":{"id":"doi:10.2298/csis240713051t","is_oa":true,"landing_page_url":"https://doi.org/10.2298/csis240713051t","pdf_url":"http://www.doiserbia.nb.rs/ft.aspx?id=1820-02142500051T","source":{"id":"https://openalex.org/S206939107","display_name":"Computer Science and Information Systems","issn_l":"1820-0214","issn":["1820-0214","2406-1018"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310321031","host_organization_name":"ComSIS Consortium","host_organization_lineage":["https://openalex.org/P4310321031"],"host_organization_lineage_names":["ComSIS Consortium"],"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":"Computer Science and Information Systems","raw_type":"journal-article"},"sustainable_development_goals":[{"display_name":"No poverty","score":0.6100000143051147,"id":"https://metadata.un.org/sdg/1"}],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4410694535.pdf","grobid_xml":"https://content.openalex.org/works/W4410694535.grobid-xml"},"referenced_works_count":31,"referenced_works":["https://openalex.org/W1903029394","https://openalex.org/W2531409750","https://openalex.org/W2546696630","https://openalex.org/W2752782242","https://openalex.org/W2886934227","https://openalex.org/W2895340641","https://openalex.org/W2947109354","https://openalex.org/W2963881378","https://openalex.org/W2963973518","https://openalex.org/W2964227007","https://openalex.org/W2981689412","https://openalex.org/W2982654872","https://openalex.org/W2987738648","https://openalex.org/W2993235622","https://openalex.org/W2994179000","https://openalex.org/W3006086117","https://openalex.org/W3083291461","https://openalex.org/W3091067756","https://openalex.org/W3092916389","https://openalex.org/W3098181075","https://openalex.org/W3131384866","https://openalex.org/W3197838298","https://openalex.org/W4206573688","https://openalex.org/W4213370913","https://openalex.org/W4312385544","https://openalex.org/W4320036918","https://openalex.org/W4321479797","https://openalex.org/W4378528421","https://openalex.org/W4390815958","https://openalex.org/W4392453944","https://openalex.org/W4396893710"],"related_works":["https://openalex.org/W4391621807","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/W4391621790","https://openalex.org/W4239306820","https://openalex.org/W4384009587"],"abstract_inverted_index":{"Traditional":[0],"semantic":[1,40,129,181],"segmentation":[2,30,41,200,225],"methods":[3],"have":[4],"problems":[5],"such":[6],"as":[7,62,107],"poor":[8],"multi-scale":[9,67],"feature":[10,17,33,78,93,115,136,161,191],"extraction":[11,18,79,112],"ability,":[12,19],"weak":[13],"lightweight":[14],"backbone":[15,64],"network":[16,59],"lack":[20],"of":[21,24,69,102,113,117,135,145,152,175,183],"effective":[22],"fusion":[23,47,127],"context":[25,173],"information,":[26],"resulting":[27],"in":[28,98,231],"edge":[29,154,230],"errors":[31],"and":[32,48,66,90,142,148,178,222],"discontinuity.":[34],"In":[35,55],"this":[36,56],"paper,":[37],"a":[38],"novel":[39],"model":[42],"based":[43],"on":[44,205,227],"multi-layer":[45],"information":[46,116,130,137,174],"dual":[49],"convolutional":[50,100,121],"attention":[51,122],"mechanism":[52],"is":[53,60,81,95,124,164],"proposed.":[54],"method,":[57],"SegFormer":[58],"used":[61,125],"the":[63,85,91,103,110,133,143,150,157,160,168,172,180,186,190,199,206,212,219,228,232],"network,":[65,105],"features":[68,187],"encoder":[70],"output":[71],"are":[72,195],"fused":[73],"with":[74],"overlapping":[75,169],"features.":[76,184],"The":[77,202],"subnetwork":[80],"optimized":[82],"by":[83,139,189],"constructing":[84],"object":[86,229],"region":[87],"enhancement":[88],"module,":[89],"intermediate":[92],"map":[94],"refined":[96],"adaptively":[97],"each":[99],"block":[101],"deep":[104],"so":[106],"to":[108,126,131,166,197],"strengthen":[109],"fine":[111],"multi-dimensional":[114],"complex":[118],"images.":[119],"Dual":[120],"module":[123,194],"high-level":[128],"avoid":[132],"loss":[134],"caused":[138],"up-sampling":[140],"operation":[141],"influence":[144],"introducing":[146],"noise,":[147],"refine":[149],"effect":[151,226],"target":[153],"segmentation.":[155],"At":[156],"same":[158],"time,":[159],"pyramid":[162,192],"grid":[163,193],"proposed":[165,213],"process":[167],"features,":[170],"obtain":[171],"different":[176],"scales,":[177],"enhance":[179],"expression":[182],"Finally,":[185],"processed":[188],"combined":[196],"improve":[198],"effect.":[201],"experimental":[203],"results":[204],"public":[207],"data":[208],"set":[209],"show":[210],"that":[211],"method":[214],"has":[215,223],"better":[216,224],"performance":[217],"than":[218],"existing":[220],"methods,":[221],"scene.":[233]},"counts_by_year":[],"updated_date":"2026-05-21T06:26:12.895304","created_date":"2025-10-10T00:00:00"}