{"id":"https://openalex.org/W3099754550","doi":"https://doi.org/10.1109/crc51253.2020.9253492","title":"Real-Time Semantic Segmentation Network Based on Lite Reduced Atrous Spatial Pyramid Pooling Module Group","display_name":"Real-Time Semantic Segmentation Network Based on Lite Reduced Atrous Spatial Pyramid Pooling Module Group","publication_year":2020,"publication_date":"2020-10-16","ids":{"openalex":"https://openalex.org/W3099754550","doi":"https://doi.org/10.1109/crc51253.2020.9253492","mag":"3099754550"},"language":"en","primary_location":{"id":"doi:10.1109/crc51253.2020.9253492","is_oa":false,"landing_page_url":"https://doi.org/10.1109/crc51253.2020.9253492","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 5th International Conference on Control, Robotics and Cybernetics (CRC)","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/A5075678579","display_name":"Yangsheng Tian","orcid":null},"institutions":[{"id":"https://openalex.org/I91125648","display_name":"Wuhan Institute of Technology","ror":"https://ror.org/04jcykh16","country_code":"CN","type":"education","lineage":["https://openalex.org/I91125648"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Yangsheng Tian","raw_affiliation_strings":["School of Computer Science and Engineering, Wuhan Institute of Technology, Wuhan, China"],"affiliations":[{"raw_affiliation_string":"School of Computer Science and Engineering, Wuhan Institute of Technology, Wuhan, China","institution_ids":["https://openalex.org/I91125648"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100777572","display_name":"Fangyuan Chen","orcid":"https://orcid.org/0000-0003-4036-651X"},"institutions":[{"id":"https://openalex.org/I37461747","display_name":"Wuhan University","ror":"https://ror.org/033vjfk17","country_code":"CN","type":"education","lineage":["https://openalex.org/I37461747"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Fangyuan Chen","raw_affiliation_strings":["School of Resource and Environmental Sciences, Wuhan University, Wuhan, China"],"affiliations":[{"raw_affiliation_string":"School of Resource and Environmental Sciences, Wuhan University, Wuhan, China","institution_ids":["https://openalex.org/I37461747"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100628510","display_name":"Haihui Wang","orcid":null},"institutions":[{"id":"https://openalex.org/I91125648","display_name":"Wuhan Institute of Technology","ror":"https://ror.org/04jcykh16","country_code":"CN","type":"education","lineage":["https://openalex.org/I91125648"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Haihui Wang","raw_affiliation_strings":["School of Computer Science and Engineering, Wuhan Institute of Technology, Wuhan, China"],"affiliations":[{"raw_affiliation_string":"School of Computer Science and Engineering, Wuhan Institute of Technology, Wuhan, China","institution_ids":["https://openalex.org/I91125648"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5022949716","display_name":"Shuiping Zhang","orcid":"https://orcid.org/0000-0002-4299-7836"},"institutions":[{"id":"https://openalex.org/I91125648","display_name":"Wuhan Institute of Technology","ror":"https://ror.org/04jcykh16","country_code":"CN","type":"education","lineage":["https://openalex.org/I91125648"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shuiping Zhang","raw_affiliation_strings":["School of Computer Science and Engineering, Wuhan Institute of Technology, Wuhan, China"],"affiliations":[{"raw_affiliation_string":"School of Computer Science and Engineering, Wuhan Institute of Technology, Wuhan, China","institution_ids":["https://openalex.org/I91125648"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5075678579"],"corresponding_institution_ids":["https://openalex.org/I91125648"],"apc_list":null,"apc_paid":null,"fwci":0.7852,"has_fulltext":false,"cited_by_count":18,"citation_normalized_percentile":{"value":0.75055535,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"139","last_page":"143"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10036","display_name":"Advanced Neural Network Applications","score":0.9983999729156494,"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":0.9983999729156494,"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/T10331","display_name":"Video Surveillance and Tracking Methods","score":0.9896000027656555,"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":0.9853000044822693,"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":0.8126741647720337},{"id":"https://openalex.org/keywords/pooling","display_name":"Pooling","score":0.7682723999023438},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7622051239013672},{"id":"https://openalex.org/keywords/encoder","display_name":"Encoder","score":0.6741814017295837},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.6399993300437927},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6106688976287842},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.5337117314338684},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.4970133602619171},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.47629061341285706},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.47354286909103394},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.46931740641593933},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.11453139781951904}],"concepts":[{"id":"https://openalex.org/C142575187","wikidata":"https://www.wikidata.org/wiki/Q3358290","display_name":"Pyramid (geometry)","level":2,"score":0.8126741647720337},{"id":"https://openalex.org/C70437156","wikidata":"https://www.wikidata.org/wiki/Q7228652","display_name":"Pooling","level":2,"score":0.7682723999023438},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7622051239013672},{"id":"https://openalex.org/C118505674","wikidata":"https://www.wikidata.org/wiki/Q42586063","display_name":"Encoder","level":2,"score":0.6741814017295837},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.6399993300437927},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6106688976287842},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.5337117314338684},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.4970133602619171},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.47629061341285706},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.47354286909103394},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.46931740641593933},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.11453139781951904},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","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},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"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/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/crc51253.2020.9253492","is_oa":false,"landing_page_url":"https://doi.org/10.1109/crc51253.2020.9253492","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 5th International Conference on Control, Robotics and Cybernetics (CRC)","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":24,"referenced_works":["https://openalex.org/W1817277359","https://openalex.org/W1901129140","https://openalex.org/W1903029394","https://openalex.org/W2109255472","https://openalex.org/W2147800946","https://openalex.org/W2194775991","https://openalex.org/W2340897893","https://openalex.org/W2395611524","https://openalex.org/W2412782625","https://openalex.org/W2560023338","https://openalex.org/W2563705555","https://openalex.org/W2799166040","https://openalex.org/W2886934227","https://openalex.org/W2907965334","https://openalex.org/W2921681721","https://openalex.org/W2963163009","https://openalex.org/W2963516811","https://openalex.org/W2964217532","https://openalex.org/W6638480814","https://openalex.org/W6639824700","https://openalex.org/W6640054144","https://openalex.org/W6730342312","https://openalex.org/W6750751077","https://openalex.org/W6754123467"],"related_works":["https://openalex.org/W2953234277","https://openalex.org/W2022849497","https://openalex.org/W2407190427","https://openalex.org/W3081299480","https://openalex.org/W2919210741","https://openalex.org/W2907584218","https://openalex.org/W3002446410","https://openalex.org/W4390224712","https://openalex.org/W4322096758","https://openalex.org/W1522196789"],"abstract_inverted_index":{"Objective:":[0],"With":[1],"the":[2,20,23,28,33,41,44,50,56,90,102,105,117,123,127,130,143,148,152,172,176,194,226,241,254,266],"development":[3],"of":[4,22,32,43,55,134,151,158],"mobile":[5],"devices":[6],"and":[7,16,52,67,121,169,182,231],"robots,":[8],"semantic":[9,36,74,98,195],"segmentation":[10,37,75,99],"network":[11,76,87,202,227,242],"begins":[12],"to":[13,19,60,94,111,140,146],"pay":[14],"more":[15,17],"attention":[18],"efficiency":[21],"model.":[24,153],"To":[25],"speed":[26,66,230],"up":[27,198],"model":[29],"inference,":[30],"most":[31],"existing":[34],"real-time":[35,73],"methods":[38],"always":[39],"reduce":[40],"size":[42,261],"image":[45,106],"before":[46],"segmentation,":[47],"which":[48,263],"sacrifices":[49],"details":[51],"spatial":[53,162],"information":[54,145,174],"image.":[57],"In":[58,101,126],"order":[59],"achieve":[61],"a":[62,71,220],"good":[63],"balance":[64],"between":[65],"accuracy,":[68],"we":[69,192],"propose":[70],"efficient":[72],"based":[77],"on":[78,116,210],"lite":[79,159],"reduced":[80,160],"atrous":[81,161],"pyramid":[82,131,163],"pooling.":[83],"Method:":[84],"The":[85,154,201,236],"proposed":[86,203,244],"structure":[88,93,243],"uses":[89],"encoder":[91,103],"decoder":[92,128],"construct":[95],"an":[96],"end-to-end":[97],"network.":[100],"part,":[104,129],"is":[107,138,248,271],"quickly":[108,168],"sampled":[109],"underground":[110],"avoid":[112],"too":[113],"much":[114],"operation":[115],"large-resolution":[118],"feature":[119,183,189],"map":[120],"increase":[122],"calculation":[124],"amount.":[125],"pooling":[132,156,164],"module":[133,165,185],"light-weight":[135],"empty":[136],"space":[137],"used":[139],"further":[141],"obtain":[142],"context":[144,173],"expand":[147],"feeling":[149],"field":[150],"large-size":[155,177],"core":[157],"group":[166,256],"can":[167,186],"effectively":[170],"extract":[171],"from":[175],"input.":[178],"Then,":[179],"skip":[180],"connection":[181],"fusion":[184],"fuse":[187],"multi-scale":[188],"information.":[190],"Finally,":[191],"get":[193],"output":[196],"through":[197],"sampling.":[199],"Result:":[200],"in":[204,245,253,268],"this":[205,246,269],"paper":[206,247,270],"has":[207],"been":[208],"tested":[209],"Cityscape":[211],"data":[212],"set.":[213],"For":[214],"2048*1024":[215,260],"resolution":[216],"input":[217],"image,":[218],"using":[219],"NVIDIA":[221],"Tesla":[222],"V100":[223],"video":[224],"card,":[225],"achieves":[228],"88.4FPS":[229],"74.5%":[232],"Miou":[233],"accuracy.":[234],"Conclusion:":[235],"experimental":[237],"results":[238],"show":[239],"that":[240,265],"faster":[249],"than":[250],"other":[251],"networks":[252],"control":[255],"when":[257],"dealing":[258],"with":[259],"pictures,":[262],"shows":[264],"research":[267],"valuable.":[272]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":4},{"year":2024,"cited_by_count":4},{"year":2023,"cited_by_count":4},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":3}],"updated_date":"2026-04-14T08:04:32.555800","created_date":"2025-10-10T00:00:00"}