{"id":"https://openalex.org/W3138038780","doi":"https://doi.org/10.1109/isas49493.2020.9378857","title":"A Real-Time Semantic Segmentation Algorithm Based on Improved Lightweight Network","display_name":"A Real-Time Semantic Segmentation Algorithm Based on Improved Lightweight Network","publication_year":2020,"publication_date":"2020-12-06","ids":{"openalex":"https://openalex.org/W3138038780","doi":"https://doi.org/10.1109/isas49493.2020.9378857","mag":"3138038780"},"language":"en","primary_location":{"id":"doi:10.1109/isas49493.2020.9378857","doi":"https://doi.org/10.1109/isas49493.2020.9378857","is_oa":false,"landing_page_url":"https://doi.org/10.1109/isas49493.2020.9378857","pdf_url":null,"source":{"id":"https://openalex.org/S4363607581","display_name":"International Symposium on Autonomous Systems (ISAS)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 International Symposium on Autonomous Systems (ISAS)","raw_type":"proceedings-article"},"volume":null,"type":"conference-paper","is_traditional":true,"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/A5101660672","display_name":"Cheng Liu","orcid":"https://orcid.org/0000-0002-7204-7030","observed_orcids":["https://orcid.org/0000-0002-7204-7030"]},"institutions":[{"id":"https://openalex.org/I4405270818","display_name":"Key Laboratory of Autonomous Systems and Network Control, Ministry of Education","ror":"https://ror.org/01c6wbc16","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4405270818"]},{"id":"https://openalex.org/I90610280","display_name":"South China University of Technology","ror":"https://ror.org/0530pts50","country_code":"CN","type":"education","lineage":["https://openalex.org/I90610280"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Cheng Liu","raw_affiliation_strings":["Automation Science and Engineering Deparment, Key Laboratory of Autonomous Systems and Networked Control Ministry of Education South China University of Technology, Guangzhou, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Automation Science and Engineering Deparment, Key Laboratory of Autonomous Systems and Networked Control Ministry of Education South China University of Technology, Guangzhou, China","institution_ids":["https://openalex.org/I4405270818","https://openalex.org/I90610280"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5070267591","display_name":"Hongxia Gao","orcid":"https://orcid.org/0000-0002-3147-1169","observed_orcids":["https://orcid.org/0000-0002-3147-1169"]},"institutions":[{"id":"https://openalex.org/I4405270818","display_name":"Key Laboratory of Autonomous Systems and Network Control, Ministry of Education","ror":"https://ror.org/01c6wbc16","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4405270818"]},{"id":"https://openalex.org/I90610280","display_name":"South China University of Technology","ror":"https://ror.org/0530pts50","country_code":"CN","type":"education","lineage":["https://openalex.org/I90610280"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hongxia Gao","raw_affiliation_strings":["Automation Science and Engineering Deparment, Key Laboratory of Autonomous Systems and Networked Control Ministry of Education South China University of Technology, Guangzhou, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Automation Science and Engineering Deparment, Key Laboratory of Autonomous Systems and Networked Control Ministry of Education South China University of Technology, Guangzhou, China","institution_ids":["https://openalex.org/I4405270818","https://openalex.org/I90610280"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100687048","display_name":"An Chen","orcid":"https://orcid.org/0000-0001-9448-7910","observed_orcids":["https://orcid.org/0000-0001-9448-7910"]},"institutions":[{"id":"https://openalex.org/I4405270818","display_name":"Key Laboratory of Autonomous Systems and Network Control, Ministry of Education","ror":"https://ror.org/01c6wbc16","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4405270818"]},{"id":"https://openalex.org/I90610280","display_name":"South China University of Technology","ror":"https://ror.org/0530pts50","country_code":"CN","type":"education","lineage":["https://openalex.org/I90610280"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"An Chen","raw_affiliation_strings":["Automation Science and Engineering Deparment, Key Laboratory of Autonomous Systems and Networked Control Ministry of Education South China University of Technology, Guangzhou, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Automation Science and Engineering Deparment, Key Laboratory of Autonomous Systems and Networked Control Ministry of Education South China University of Technology, Guangzhou, China","institution_ids":["https://openalex.org/I4405270818","https://openalex.org/I90610280"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.6659,"has_fulltext":false,"cited_by_count":15,"citation_normalized_percentile":{"value":0.78508881,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":93,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"249","last_page":"253"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10036","display_name":"Advanced Neural Network Applications","score":0.9994999766349792,"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":0.9994999766349792,"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":0.0005000000237487257,"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/T11606","display_name":"Infrastructure Maintenance and Monitoring","score":9.999999747378752e-05,"subfield":{"id":"https://openalex.org/subfields/2205","display_name":"Civil and Structural 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/semantic-segmentation","display_name":"semantic segmentation","score":0.9100000262260437},{"id":"https://openalex.org/keywords/real-time-segmentation","display_name":"real-time segmentation","score":0.8339999914169312},{"id":"https://openalex.org/keywords/lightweight-neural-networks","display_name":"lightweight neural networks","score":0.7879999876022339},{"id":"https://openalex.org/keywords/mobilenetv2","display_name":"MobileNetV2","score":0.9150000214576721},{"id":"https://openalex.org/keywords/dilated-convolution","display_name":"dilated convolution","score":0.9940000176429749},{"id":"https://openalex.org/keywords/attention-modules","display_name":"attention modules","score":0.8370000123977661},{"id":"https://openalex.org/keywords/aspp","display_name":"ASPP","score":0.8690000176429749},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"feature extraction","score":0.6729999780654907}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8467713594436646},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.8345239162445068},{"id":"https://openalex.org/C70437156","wikidata":"https://www.wikidata.org/wiki/Q7228652","display_name":"Pooling","level":2,"score":0.7704175710678101},{"id":"https://openalex.org/C142575187","wikidata":"https://www.wikidata.org/wiki/Q3358290","display_name":"Pyramid (geometry)","level":2,"score":0.7198856472969055},{"id":"https://openalex.org/C45347329","wikidata":"https://www.wikidata.org/wiki/Q5166604","display_name":"Convolution (computer science)","level":3,"score":0.6446175575256348},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6403734683990479},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.5084458589553833},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.5069079995155334},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.49715474247932434},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.4954327344894409},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.49258214235305786},{"id":"https://openalex.org/C12426560","wikidata":"https://www.wikidata.org/wiki/Q189569","display_name":"Basis (linear algebra)","level":2,"score":0.4873448312282562},{"id":"https://openalex.org/C184337299","wikidata":"https://www.wikidata.org/wiki/Q1437428","display_name":"Semantics (computer science)","level":2,"score":0.48501846194267273},{"id":"https://openalex.org/C65885262","wikidata":"https://www.wikidata.org/wiki/Q7429708","display_name":"Scale-space segmentation","level":4,"score":0.4759261906147003},{"id":"https://openalex.org/C66746571","wikidata":"https://www.wikidata.org/wiki/Q1134833","display_name":"ENCODE","level":3,"score":0.4751929044723511},{"id":"https://openalex.org/C90312973","wikidata":"https://www.wikidata.org/wiki/Q7449052","display_name":"Semantic data model","level":2,"score":0.47208520770072937},{"id":"https://openalex.org/C25694479","wikidata":"https://www.wikidata.org/wiki/Q7446278","display_name":"Segmentation-based object categorization","level":5,"score":0.4126022756099701},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.1649777591228485},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","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/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"score":0.0},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","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},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/isas49493.2020.9378857","doi":"https://doi.org/10.1109/isas49493.2020.9378857","is_oa":false,"landing_page_url":"https://doi.org/10.1109/isas49493.2020.9378857","pdf_url":null,"source":{"id":"https://openalex.org/S4363607581","display_name":"International Symposium on Autonomous Systems (ISAS)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 International Symposium on Autonomous Systems (ISAS)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/9","score":0.4943999946117401,"display_name":"Industry, innovation and infrastructure"}],"study_designs":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":10,"referenced_works":["https://openalex.org/W1903029394","https://openalex.org/W1910657905","https://openalex.org/W2612445135","https://openalex.org/W2735039185","https://openalex.org/W2883780447","https://openalex.org/W2886934227","https://openalex.org/W2963125010","https://openalex.org/W2963890956","https://openalex.org/W2964217532","https://openalex.org/W2971198903"],"related_works":["https://openalex.org/W3175463808","https://openalex.org/W4313019124","https://openalex.org/W3194455886","https://openalex.org/W4296156531","https://openalex.org/W4379791563","https://openalex.org/W7124589858","https://openalex.org/W4384202158","https://openalex.org/W4385322478","https://openalex.org/W3122445164","https://openalex.org/W4399599038"],"abstract_inverted_index":{"This":[0],"paper":[1,26],"mainly":[2],"studies":[3],"the":[4,13,17,40,43,59,74,103,121],"semantic":[5,18,30,90],"segmentation":[6,19,31,91,107],"algorithm":[7,20],"for":[8,62],"smart":[9,22],"car":[10,23],"scenes.":[11],"Considering":[12],"real-time":[14,29],"nature":[15],"of":[16,42,68,109,115],"in":[21],"scenes,":[24],"this":[25,86],"proposes":[27],"a":[28,48,88,98,106,113],"model":[32,92,104],"based":[33],"on":[34,73,97,120],"an":[35],"improved":[36],"lightweight":[37,44,89],"network.":[38],"On":[39,85],"basis":[41],"network":[45,49,61],"MobileNet":[46],"v2,":[47],"with":[50],"dilated":[51,75],"convolution":[52],"and":[53,65],"attention":[54],"modules":[55],"is":[56],"constructed":[57],"as":[58],"backbone":[60],"feature":[63],"extraction,":[64],"pooling":[66,77],"operations":[67],"different":[69],"sizes":[70],"are":[71],"used":[72],"pyramid":[76],"module":[78],"ASPP":[79],"to":[80],"encode":[81],"surrounding":[82],"Semantic":[83],"information.":[84],"basis,":[87],"LightSeg":[93],"was":[94],"constructed.":[95],"Tested":[96],"single":[99],"RTX":[100],"2080Ti":[101],"GPU,":[102],"achieves":[105],"accuracy":[108],"73.8%":[110],"mIoU":[111],"at":[112],"speed":[114],"49.5":[116],"frames":[117],"per":[118],"second":[119],"Cityscapes":[122],"dataset.":[123]},"counts_by_year":[{"year":2025,"cited_by_count":4},{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":7},{"year":2022,"cited_by_count":2}],"updated_date":"2026-10-16T09:59:22.235173","created_date":"2021-03-29T00:00:00"}
