{"id":"https://openalex.org/W4406013702","doi":"https://doi.org/10.1109/access.2024.3525065","title":"TransDeep: Transformer-Integrated DeepLabV3+ for Image Semantic Segmentation","display_name":"TransDeep: Transformer-Integrated DeepLabV3+ for Image Semantic Segmentation","publication_year":2025,"publication_date":"2025-01-01","ids":{"openalex":"https://openalex.org/W4406013702","doi":"https://doi.org/10.1109/access.2024.3525065"},"language":"en","primary_location":{"id":"doi:10.1109/access.2024.3525065","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2024.3525065","pdf_url":null,"source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://doi.org/10.1109/access.2024.3525065","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5113324269","display_name":"Tengfei Chai","orcid":"https://orcid.org/0009-0007-6597-469X"},"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"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Tengfei Chai","raw_affiliation_strings":["School of Computer Science and Technology, Changchun University, Changchun, Jilin, China"],"raw_orcid":"https://orcid.org/0009-0007-6597-469X","affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology, Changchun University, Changchun, Jilin, China","institution_ids":["https://openalex.org/I106645853"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5086956464","display_name":"Zhiguo Xiao","orcid":"https://orcid.org/0000-0001-6719-0652"},"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/I125839683","display_name":"Beijing Institute of Technology","ror":"https://ror.org/01skt4w74","country_code":"CN","type":"education","lineage":["https://openalex.org/I125839683","https://openalex.org/I890469752"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhiguo Xiao","raw_affiliation_strings":["School of Computer Science and Technology, Changchun University, Changchun, Jilin, China","School of Computer Science Technology, Beijing Institute of Technology, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0001-6719-0652","affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology, Changchun University, Changchun, Jilin, China","institution_ids":["https://openalex.org/I106645853"]},{"raw_affiliation_string":"School of Computer Science Technology, Beijing Institute of Technology, Beijing, China","institution_ids":["https://openalex.org/I125839683"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5111283124","display_name":"XiangFeng Shen","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"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiangfeng Shen","raw_affiliation_strings":["School of Electronic Information Engineering, Changchun University of Science and Technology, Changchun, Jilin, China"],"raw_orcid":"https://orcid.org/0000-0002-2461-5419","affiliations":[{"raw_affiliation_string":"School of Electronic Information Engineering, Changchun University of Science and Technology, Changchun, Jilin, China","institution_ids":["https://openalex.org/I106645853"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5019324040","display_name":"Qian Liu","orcid":"https://orcid.org/0000-0002-8398-1021"},"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"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qian Liu","raw_affiliation_strings":["School of Computer Science and Technology, Changchun University, Changchun, Jilin, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology, Changchun University, Changchun, Jilin, China","institution_ids":["https://openalex.org/I106645853"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5087588095","display_name":"Nianfeng Li","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"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"NianFeng Li","raw_affiliation_strings":["School of Computer Science and Technology, Changchun University, Changchun, Jilin, China"],"raw_orcid":"https://orcid.org/0000-0003-2450-5217","affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology, Changchun University, Changchun, Jilin, China","institution_ids":["https://openalex.org/I106645853"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100713380","display_name":"Tong Guan","orcid":"https://orcid.org/0000-0001-8360-6339"},"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"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Tong Guan","raw_affiliation_strings":["School of Computer Science and Technology, Changchun University, Changchun, Jilin, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology, Changchun University, Changchun, Jilin, China","institution_ids":["https://openalex.org/I106645853"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100565205","display_name":"Jia Tian","orcid":"https://orcid.org/0009-0002-7454-2518"},"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"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jia Tian","raw_affiliation_strings":["School of Computer Science and Technology, Changchun University, Changchun, Jilin, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology, Changchun University, Changchun, Jilin, China","institution_ids":["https://openalex.org/I106645853"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":{"value":1850,"currency":"USD","value_usd":1850},"apc_paid":{"value":1850,"currency":"USD","value_usd":1850},"fwci":3.0853,"has_fulltext":false,"cited_by_count":6,"citation_normalized_percentile":{"value":0.90732015,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":94,"max":98},"biblio":{"volume":"13","issue":null,"first_page":"6277","last_page":"6291"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12702","display_name":"Brain Tumor Detection and Classification","score":0.7940000295639038,"subfield":{"id":"https://openalex.org/subfields/2808","display_name":"Neurology"},"field":{"id":"https://openalex.org/fields/28","display_name":"Neuroscience"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},"topics":[{"id":"https://openalex.org/T12702","display_name":"Brain Tumor Detection and Classification","score":0.7940000295639038,"subfield":{"id":"https://openalex.org/subfields/2808","display_name":"Neurology"},"field":{"id":"https://openalex.org/fields/28","display_name":"Neuroscience"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},{"id":"https://openalex.org/T10036","display_name":"Advanced Neural Network Applications","score":0.7752000093460083,"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":0.7554000020027161,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6571648716926575},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5824309587478638},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5010087490081787},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.4843617379665375},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.41197487711906433}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6571648716926575},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5824309587478638},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5010087490081787},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.4843617379665375},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.41197487711906433}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/access.2024.3525065","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2024.3525065","pdf_url":null,"source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:3d82fda4d35648eca0319379d2ef4774","is_oa":true,"landing_page_url":"https://doaj.org/article/3d82fda4d35648eca0319379d2ef4774","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":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"IEEE Access, Vol 13, Pp 6277-6291 (2025)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1109/access.2024.3525065","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2024.3525065","pdf_url":null,"source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"sustainable_development_goals":[{"score":0.47999998927116394,"id":"https://metadata.un.org/sdg/9","display_name":"Industry, innovation and infrastructure"}],"awards":[{"id":"https://openalex.org/G4980618494","display_name":null,"funder_award_id":"20230401104YY","funder_id":"https://openalex.org/F4320323190","funder_display_name":"Fujian Provincial Department of Science and Technology"}],"funders":[{"id":"https://openalex.org/F4320323190","display_name":"Fujian Provincial Department of Science and Technology","ror":"https://ror.org/00rgzpv08"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":60,"referenced_works":["https://openalex.org/W1901129140","https://openalex.org/W2031489346","https://openalex.org/W2109255472","https://openalex.org/W2171943915","https://openalex.org/W2194775991","https://openalex.org/W2395611524","https://openalex.org/W2412782625","https://openalex.org/W2531409750","https://openalex.org/W2560023338","https://openalex.org/W2752782242","https://openalex.org/W2787091153","https://openalex.org/W2955058313","https://openalex.org/W2962850830","https://openalex.org/W2963881378","https://openalex.org/W2964217532","https://openalex.org/W3034681889","https://openalex.org/W3041449006","https://openalex.org/W3109301572","https://openalex.org/W3124539583","https://openalex.org/W3138516171","https://openalex.org/W3170841864","https://openalex.org/W3171516518","https://openalex.org/W3177768567","https://openalex.org/W3196904463","https://openalex.org/W4214893857","https://openalex.org/W4225639038","https://openalex.org/W4285144577","https://openalex.org/W4289752563","https://openalex.org/W4312294051","https://openalex.org/W4312349930","https://openalex.org/W4312509967","https://openalex.org/W4313192411","https://openalex.org/W4313530144","https://openalex.org/W4320481420","https://openalex.org/W4321232185","https://openalex.org/W4366004039","https://openalex.org/W4384822009","https://openalex.org/W4385245566","https://openalex.org/W4386066092","https://openalex.org/W4387142835","https://openalex.org/W4390873103","https://openalex.org/W4393115925","https://openalex.org/W4394566113","https://openalex.org/W4394888042","https://openalex.org/W4396732913","https://openalex.org/W4396885590","https://openalex.org/W4399769230","https://openalex.org/W4399800576","https://openalex.org/W4400270634","https://openalex.org/W4400846057","https://openalex.org/W4401504219","https://openalex.org/W6637373629","https://openalex.org/W6638480814","https://openalex.org/W6640295612","https://openalex.org/W6682082992","https://openalex.org/W6717372056","https://openalex.org/W6739696289","https://openalex.org/W6771626834","https://openalex.org/W6797399245","https://openalex.org/W6811322955"],"related_works":["https://openalex.org/W2772917594","https://openalex.org/W2036807459","https://openalex.org/W2058170566","https://openalex.org/W2755342338","https://openalex.org/W2166024367","https://openalex.org/W3116076068","https://openalex.org/W2229312674","https://openalex.org/W2951359407","https://openalex.org/W2079911747","https://openalex.org/W1969923398"],"abstract_inverted_index":{"In":[0,79],"recent":[1],"years,":[2],"image":[3,25,44,168],"semantic":[4],"segmentation":[5,45,196],"algorithms":[6,46],"have":[7],"made":[8],"significant":[9],"progress":[10],"driven":[11],"by":[12,231],"deep":[13],"learning":[14],"technology,":[15],"and":[16,32,56,67,74,86,94,145,191,213,233],"are":[17,88],"widely":[18],"used":[19,90],"in":[20,200],"fields":[21],"such":[22,38,142],"as":[23,39,143],"medical":[24],"analysis,":[26],"assistive":[27],"technology":[28],"for":[29,91],"the":[30,40,64,71,76,80,104,108,114,118,125,133,137,149,157,162,181,186,194,209,220,226],"blind,":[31],"autonomous":[33],"driving.":[34],"Aiming":[35],"at":[36],"problems":[37],"inability":[41],"of":[42,117,136,188,198,206,217],"many":[43],"to":[47,120,139,160,164],"fully":[48],"capture":[49],"global":[50],"context":[51,58],"information,":[52],"low":[53],"computational":[54],"efficiency,":[55],"insufficient":[57],"information":[59,141],"fusion.":[60],"This":[61],"article":[62],"integrates":[63],"Transformer":[65,109],"mechanism":[66,69,110,152],"CA":[68],"into":[70,113],"DeepLabV3+":[72],"network":[73,98,183],"proposes":[75],"TransDeep":[77,182],"network.":[78],"encoder,":[81],"two":[82],"different":[83],"backbones,":[84],"Xception":[85],"MobileNetV2,":[87],"first":[89],"feature":[92],"extraction,":[93],"a":[95,214],"better":[96],"backbone":[97,106,119,138],"is":[99,111,130,154],"selected.":[100],"Furthermore,":[101],"based":[102],"on":[103,166,208,219],"lightweight":[105],"network,":[107],"integrated":[112],"advanced":[115],"features":[116,135,169],"enhance":[121],"long-range":[122],"dependence.":[123],"Secondly,":[124],"Coord":[126,150],"Attention":[127,151],"module":[128,159],"(CA)":[129,153],"added":[131,155],"after":[132,156],"low-level":[134],"strengthen":[140],"edge":[144],"detail":[146],"features.":[147],"Finally,":[148],"ASPP":[158],"allow":[161],"model":[163],"focus":[165],"key":[167,189],"while":[170],"effectively":[171,192],"filtering":[172],"out":[173],"irrelevant":[174],"background":[175],"information.":[176],"Experimental":[177],"results":[178],"show":[179],"that":[180],"can":[184],"improve":[185,193],"accuracy":[187,197],"categories":[190],"network\u2019s":[195],"targets":[199],"images.":[201],"It":[202],"achieved":[203],"an":[204],"MIoU":[205],"73.5%":[207],"Pascal":[210],"test":[211,222],"set":[212],"good":[215],"performance":[216],"79.95%":[218],"CamVid":[221],"set.":[223],"Compared":[224],"with":[225],"baseline":[227],"model,":[228],"they":[229],"improved":[230],"2.10%":[232],"2.61%":[234],"respectively.":[235]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":5}],"updated_date":"2026-03-27T05:58:40.876381","created_date":"2025-10-10T00:00:00"}
