{"id":"https://openalex.org/W4402592944","doi":"https://doi.org/10.1109/icce-taiwan62264.2024.10674232","title":"Light-Weight Semantic Segmentation Based on Vision Transformer and Self-Supervised Learning","display_name":"Light-Weight Semantic Segmentation Based on Vision Transformer and Self-Supervised Learning","publication_year":2024,"publication_date":"2024-07-09","ids":{"openalex":"https://openalex.org/W4402592944","doi":"https://doi.org/10.1109/icce-taiwan62264.2024.10674232"},"language":"en","primary_location":{"id":"doi:10.1109/icce-taiwan62264.2024.10674232","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icce-taiwan62264.2024.10674232","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 International Conference on Consumer Electronics - Taiwan (ICCE-Taiwan)","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"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/A5114228390","display_name":"H. Y. Lin","orcid":"https://orcid.org/0009-0004-6498-7921"},"institutions":[{"id":"https://openalex.org/I65446980","display_name":"National Chin-Yi University of Technology","ror":"https://ror.org/040bs6h16","country_code":"TW","type":"education","lineage":["https://openalex.org/I65446980"]}],"countries":["TW"],"is_corresponding":true,"raw_author_name":"Hsiu-Ming Lin","raw_affiliation_strings":["National Chin-Yi University of Technology,Taiwan"],"affiliations":[{"raw_affiliation_string":"National Chin-Yi University of Technology,Taiwan","institution_ids":["https://openalex.org/I65446980"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5058988129","display_name":"Guo-Shiang Lin","orcid":"https://orcid.org/0009-0001-2274-2465"},"institutions":[{"id":"https://openalex.org/I65446980","display_name":"National Chin-Yi University of Technology","ror":"https://ror.org/040bs6h16","country_code":"TW","type":"education","lineage":["https://openalex.org/I65446980"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Guo-Shiang Lin","raw_affiliation_strings":["National Chin-Yi University of Technology,Taiwan"],"affiliations":[{"raw_affiliation_string":"National Chin-Yi University of Technology,Taiwan","institution_ids":["https://openalex.org/I65446980"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5022962490","display_name":"Chuan-Wang Chang","orcid":"https://orcid.org/0000-0001-5010-2767"},"institutions":[{"id":"https://openalex.org/I65446980","display_name":"National Chin-Yi University of Technology","ror":"https://ror.org/040bs6h16","country_code":"TW","type":"education","lineage":["https://openalex.org/I65446980"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Chuan-Wang Chang","raw_affiliation_strings":["National Chin-Yi University of Technology,Taiwan"],"affiliations":[{"raw_affiliation_string":"National Chin-Yi University of Technology,Taiwan","institution_ids":["https://openalex.org/I65446980"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5081858917","display_name":"K. W. Chang","orcid":"https://orcid.org/0000-0002-2939-4133"},"institutions":[{"id":"https://openalex.org/I65446980","display_name":"National Chin-Yi University of Technology","ror":"https://ror.org/040bs6h16","country_code":"TW","type":"education","lineage":["https://openalex.org/I65446980"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Ku-Yaw Chang","raw_affiliation_strings":["National Chin-Yi University of Technology,Taiwan"],"affiliations":[{"raw_affiliation_string":"National Chin-Yi University of Technology,Taiwan","institution_ids":["https://openalex.org/I65446980"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5109716921","display_name":"Wei-Cheng Yeh","orcid":null},"institutions":[{"id":"https://openalex.org/I4210124028","display_name":"Chang Bing Show Chwan Memorial Hospital","ror":"https://ror.org/02ntc9t93","country_code":"TW","type":"healthcare","lineage":["https://openalex.org/I4210124028"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Wei-Cheng Yeh","raw_affiliation_strings":["Chang Bing Show Chwan Memorial Hospital,Taiwan"],"affiliations":[{"raw_affiliation_string":"Chang Bing Show Chwan Memorial Hospital,Taiwan","institution_ids":["https://openalex.org/I4210124028"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5114228390"],"corresponding_institution_ids":["https://openalex.org/I65446980"],"apc_list":null,"apc_paid":null,"fwci":1.0463,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.77314551,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":96,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"719","last_page":"720"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T14225","display_name":"Advanced Sensor and Control Systems","score":0.5188999772071838,"subfield":{"id":"https://openalex.org/subfields/2207","display_name":"Control and Systems Engineering"},"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/T14225","display_name":"Advanced Sensor and Control Systems","score":0.5188999772071838,"subfield":{"id":"https://openalex.org/subfields/2207","display_name":"Control and Systems 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/T13717","display_name":"Advanced Algorithms and Applications","score":0.503600001335144,"subfield":{"id":"https://openalex.org/subfields/2207","display_name":"Control and Systems 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/T13890","display_name":"Remote Sensing and Land Use","score":0.47780001163482666,"subfield":{"id":"https://openalex.org/subfields/1902","display_name":"Atmospheric Science"},"field":{"id":"https://openalex.org/fields/19","display_name":"Earth and Planetary Sciences"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7207947373390198},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.6796373724937439},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6758772134780884},{"id":"https://openalex.org/keywords/transformer","display_name":"Transformer","score":0.5513128042221069},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.4918348789215088},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.47080907225608826},{"id":"https://openalex.org/keywords/scale-space-segmentation","display_name":"Scale-space segmentation","score":0.4104204773902893},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.39089810848236084},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.36267930269241333},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3543715476989746},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.0925748348236084}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7207947373390198},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.6796373724937439},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6758772134780884},{"id":"https://openalex.org/C66322947","wikidata":"https://www.wikidata.org/wiki/Q11658","display_name":"Transformer","level":3,"score":0.5513128042221069},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.4918348789215088},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.47080907225608826},{"id":"https://openalex.org/C65885262","wikidata":"https://www.wikidata.org/wiki/Q7429708","display_name":"Scale-space segmentation","level":4,"score":0.4104204773902893},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.39089810848236084},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.36267930269241333},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3543715476989746},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.0925748348236084},{"id":"https://openalex.org/C165801399","wikidata":"https://www.wikidata.org/wiki/Q25428","display_name":"Voltage","level":2,"score":0.0},{"id":"https://openalex.org/C119599485","wikidata":"https://www.wikidata.org/wiki/Q43035","display_name":"Electrical engineering","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icce-taiwan62264.2024.10674232","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icce-taiwan62264.2024.10674232","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 International Conference on Consumer Electronics - Taiwan (ICCE-Taiwan)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":14,"referenced_works":["https://openalex.org/W1901129140","https://openalex.org/W1903029394","https://openalex.org/W2787091153","https://openalex.org/W3035725276","https://openalex.org/W3120430728","https://openalex.org/W3175515048","https://openalex.org/W4292641319","https://openalex.org/W4312851514","https://openalex.org/W4312950730","https://openalex.org/W4360985148","https://openalex.org/W6723686200","https://openalex.org/W6784333009","https://openalex.org/W6797399245","https://openalex.org/W6838697126"],"related_works":["https://openalex.org/W1986655823","https://openalex.org/W2185902295","https://openalex.org/W2103507220","https://openalex.org/W3144569342","https://openalex.org/W3011384228","https://openalex.org/W2945274617","https://openalex.org/W3199300986","https://openalex.org/W4313052709","https://openalex.org/W4298131179","https://openalex.org/W2375430703"],"abstract_inverted_index":{"In":[0],"this":[1],"paper,":[2],"a":[3,35,60,74],"light-weight":[4,36,128],"vision-transformer-based":[5],"(ViT)":[6],"semantic":[7,68,133],"segmentation":[8,69,134],"method":[9,21,83,106,116,130],"with":[10],"self-supervised":[11],"learning":[12],"(SSL)":[13],"was":[14],"developed":[15,41,64],"for":[16,136],"medical":[17,78,94,137],"images.":[18,138],"The":[19,32],"proposed":[20,81,105,115,127],"is":[22,34,51,63],"composed":[23],"of":[24,77,103],"three":[25],"parts:":[26],"encoder,":[27],"decoder,":[28],"and":[29,45,59,101,110],"prediction":[30,61],"head.":[31],"encoder":[33],"ViT":[37],"called":[38],"M-":[39],"iFormer":[40,44],"based":[42,87],"on":[43,88],"the":[46,55,67,80,104,114,126],"split-and-merge":[47],"strategy.":[48],"A":[49],"decoder":[50],"designed":[52],"to":[53,65,73],"fuse":[54],"multi-scale":[56],"feature":[57],"maps":[58],"head":[62],"predict":[66],"map.":[70],"Furthermore,":[71],"due":[72],"small":[75],"size":[76],"images,":[79],"ViT-based":[82,129],"can":[84,131],"be":[85],"trained":[86],"SSL.":[89],"For":[90],"performance":[91],"evaluation,":[92],"some":[93],"images":[95],"are":[96,107],"selected.":[97],"F1-score,":[98],"pixel":[99],"accuracy,":[100],"mIoU":[102],"89.37%,":[108],"99.06%,":[109],"82.6%,":[111],"respectively.":[112],"Moreover,":[113],"outperforms":[117],"an":[118],"existing":[119],"method.":[120],"These":[121],"experimental":[122],"results":[123],"demonstrate":[124],"that":[125],"achieve":[132],"well":[135]},"counts_by_year":[{"year":2025,"cited_by_count":3}],"updated_date":"2025-12-27T23:08:20.325037","created_date":"2025-10-10T00:00:00"}