{"id":"https://openalex.org/W4387967987","doi":"https://doi.org/10.1145/3581783.3611848","title":"Efficient Parallel Multi-Scale Detail and Semantic Encoding Network for Lightweight Semantic Segmentation","display_name":"Efficient Parallel Multi-Scale Detail and Semantic Encoding Network for Lightweight Semantic Segmentation","publication_year":2023,"publication_date":"2023-10-26","ids":{"openalex":"https://openalex.org/W4387967987","doi":"https://doi.org/10.1145/3581783.3611848"},"language":"en","primary_location":{"id":"doi:10.1145/3581783.3611848","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3581783.3611848","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 31st ACM International Conference on Multimedia","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/A5102727787","display_name":"Xiao Liu","orcid":"https://orcid.org/0009-0006-7399-3754"},"institutions":[{"id":"https://openalex.org/I24185976","display_name":"Sichuan University","ror":"https://ror.org/011ashp19","country_code":"CN","type":"education","lineage":["https://openalex.org/I24185976"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Xiao Liu","raw_affiliation_strings":["Sichuan University, Chengdu, China"],"affiliations":[{"raw_affiliation_string":"Sichuan University, Chengdu, China","institution_ids":["https://openalex.org/I24185976"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5034398262","display_name":"Xiuya Shi","orcid":null},"institutions":[{"id":"https://openalex.org/I24185976","display_name":"Sichuan University","ror":"https://ror.org/011ashp19","country_code":"CN","type":"education","lineage":["https://openalex.org/I24185976"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiuya Shi","raw_affiliation_strings":["Sichuan University, Chengdu, China"],"affiliations":[{"raw_affiliation_string":"Sichuan University, Chengdu, China","institution_ids":["https://openalex.org/I24185976"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5068585322","display_name":"Lufei Chen","orcid":"https://orcid.org/0009-0001-8548-6569"},"institutions":[{"id":"https://openalex.org/I24185976","display_name":"Sichuan University","ror":"https://ror.org/011ashp19","country_code":"CN","type":"education","lineage":["https://openalex.org/I24185976"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Lufei Chen","raw_affiliation_strings":["Sichuan University, Chengdu, China"],"affiliations":[{"raw_affiliation_string":"Sichuan University, Chengdu, China","institution_ids":["https://openalex.org/I24185976"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5059067107","display_name":"Linbo Qing","orcid":"https://orcid.org/0000-0003-3555-0005"},"institutions":[{"id":"https://openalex.org/I24185976","display_name":"Sichuan University","ror":"https://ror.org/011ashp19","country_code":"CN","type":"education","lineage":["https://openalex.org/I24185976"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Linbo Qing","raw_affiliation_strings":["Sichuan University, Chengdu, China"],"affiliations":[{"raw_affiliation_string":"Sichuan University, Chengdu, China","institution_ids":["https://openalex.org/I24185976"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5028800313","display_name":"Chao Ren","orcid":"https://orcid.org/0000-0002-5347-2728"},"institutions":[{"id":"https://openalex.org/I24185976","display_name":"Sichuan University","ror":"https://ror.org/011ashp19","country_code":"CN","type":"education","lineage":["https://openalex.org/I24185976"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chao Ren","raw_affiliation_strings":["Sichuan University, Chengdu, China"],"affiliations":[{"raw_affiliation_string":"Sichuan University, Chengdu, China","institution_ids":["https://openalex.org/I24185976"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5102727787"],"corresponding_institution_ids":["https://openalex.org/I24185976"],"apc_list":null,"apc_paid":null,"fwci":0.8343,"has_fulltext":false,"cited_by_count":7,"citation_normalized_percentile":{"value":0.75542535,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":96,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"2544","last_page":"2552"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10036","display_name":"Advanced Neural Network Applications","score":0.9998999834060669,"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":0.9998999834060669,"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":0.9958000183105469,"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":0.9957000017166138,"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":0.8459897637367249},{"id":"https://openalex.org/keywords/encoder","display_name":"Encoder","score":0.6527886986732483},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.5517058372497559},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.5512444376945496},{"id":"https://openalex.org/keywords/encoding","display_name":"Encoding (memory)","score":0.5129067897796631},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.49568283557891846},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.4489353597164154},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.4387121796607971},{"id":"https://openalex.org/keywords/scale","display_name":"Scale (ratio)","score":0.4330734610557556},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.42323291301727295}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8459897637367249},{"id":"https://openalex.org/C118505674","wikidata":"https://www.wikidata.org/wiki/Q42586063","display_name":"Encoder","level":2,"score":0.6527886986732483},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.5517058372497559},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.5512444376945496},{"id":"https://openalex.org/C125411270","wikidata":"https://www.wikidata.org/wiki/Q18653","display_name":"Encoding (memory)","level":2,"score":0.5129067897796631},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.49568283557891846},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.4489353597164154},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.4387121796607971},{"id":"https://openalex.org/C2778755073","wikidata":"https://www.wikidata.org/wiki/Q10858537","display_name":"Scale (ratio)","level":2,"score":0.4330734610557556},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.42323291301727295},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"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/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","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/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"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/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3581783.3611848","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3581783.3611848","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 31st ACM International Conference on Multimedia","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/11","display_name":"Sustainable cities and communities","score":0.7900000214576721}],"awards":[{"id":"https://openalex.org/G1231421488","display_name":null,"funder_award_id":"under","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G2087396116","display_name":null,"funder_award_id":"China","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G2575488011","display_name":null,"funder_award_id":"62171304","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G3317480652","display_name":null,"funder_award_id":"Science","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5939423041","display_name":null,"funder_award_id":"Technology","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5994120800","display_name":null,"funder_award_id":"Natural","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320322990","display_name":"Sichuan University","ror":"https://ror.org/011ashp19"},{"id":"https://openalex.org/F4320333335","display_name":"Sichuan Province Science and Technology Support Program","ror":null}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":32,"referenced_works":["https://openalex.org/W2194775991","https://openalex.org/W2560023338","https://openalex.org/W2762439315","https://openalex.org/W2886934227","https://openalex.org/W2955058313","https://openalex.org/W2961666066","https://openalex.org/W2962772649","https://openalex.org/W2963418739","https://openalex.org/W2963446712","https://openalex.org/W2963881378","https://openalex.org/W2963890956","https://openalex.org/W2964217532","https://openalex.org/W2964309882","https://openalex.org/W2971198903","https://openalex.org/W2999921958","https://openalex.org/W3011933327","https://openalex.org/W3022184340","https://openalex.org/W3110440461","https://openalex.org/W3112503277","https://openalex.org/W3163358913","https://openalex.org/W3169865585","https://openalex.org/W3170544306","https://openalex.org/W3170841864","https://openalex.org/W3172265425","https://openalex.org/W3174087230","https://openalex.org/W3190437803","https://openalex.org/W3192829953","https://openalex.org/W3194686611","https://openalex.org/W3196904463","https://openalex.org/W3197715576","https://openalex.org/W3211490618","https://openalex.org/W4304080525"],"related_works":["https://openalex.org/W4390516098","https://openalex.org/W2181948922","https://openalex.org/W2384362569","https://openalex.org/W2142795561","https://openalex.org/W4205302943","https://openalex.org/W2561132942","https://openalex.org/W1950940422","https://openalex.org/W4283822356","https://openalex.org/W2129146436","https://openalex.org/W2032507829"],"abstract_inverted_index":{"In":[0],"this":[1],"work,":[2],"we":[3],"propose":[4],"PMSDSEN,":[5],"a":[6,85,185],"parallel":[7],"multi-scale":[8,120,157],"encoder-decoder":[9],"network":[10,70],"architecture":[11],"for":[12,92,119],"semantic":[13,81,121,147,170],"segmentation,":[14],"inspired":[15],"by":[16],"the":[17,35,57,98,106,112,115,129,150,209],"human":[18],"visual":[19],"perception":[20],"system's":[21],"ability":[22],"to":[23,45,138,161,168],"aggregate":[24],"contextual":[25],"information":[26,49,91,126,143,148],"in":[27,54,176],"various":[28],"contexts":[29],"and":[30,40,50,62,74,80,124,144,175,181,190,197,214],"scales.":[31],"Our":[32,153],"approach":[33],"introduces":[34],"efficient":[36],"Parallel":[37],"Multi-Scale":[38,107],"Detail":[39],"Semantic":[41,108],"Encoding":[42],"(PMSDSE)":[43],"unit":[44],"extract":[46],"detailed":[47,125],"local":[48,160],"coarse":[51],"large-range":[52],"relationships":[53],"parallel,":[55],"enabling":[56],"recognition":[58],"of":[59,88,114],"object":[60],"boundaries":[61],"object-level":[63],"areas.":[64],"By":[65],"stacking":[66],"multiple":[67],"PMSDSEs,":[68],"our":[69],"learns":[71],"fine-grained":[72],"details":[73],"textures":[75],"along":[76],"with":[77,204],"abstract":[78],"category":[79],"information,":[82],"effectively":[83],"utilizing":[84],"larger":[86],"range":[87],"surrounding":[89],"context":[90,122,158],"robust":[93],"segmentation.":[94],"To":[95],"further":[96],"enhance":[97],"network's":[99],"receptive":[100],"field":[101],"without":[102],"increasing":[103],"computational":[104],"complexity,":[105],"Extractor":[109],"(MSSE)":[110],"at":[111,172],"end":[113],"encoder":[116],"is":[117,136],"utilized":[118],"extraction":[123,167],"encoding.":[127],"Additionally,":[128],"Dynamic":[130],"Weighted":[131],"Feature":[132],"Fusion":[133],"(DWFF)":[134],"strategy":[135],"employed":[137],"integrate":[139],"shallow":[140],"layer":[141,146],"detail":[142],"deep":[145],"during":[149],"decoder":[151],"stage.":[152],"method":[154],"can":[155],"obtain":[156],"from":[159],"global,":[162],"achieving":[163],"efficiently":[164],"low-level":[165],"feature":[166],"high-level":[169],"interpretation":[171],"different":[173,177],"scales":[174],"contexts.":[178],"Without":[179],"bells":[180],"whistles,":[182],"PMSDSEN":[183,200],"obtains":[184],"better":[186],"trade-off":[187],"between":[188],"accuracy":[189],"complexity":[191],"on":[192,208],"popular":[193],"benchmarks,":[194],"including":[195],"Cityscapes":[196,210],"Camvid.":[198],"Specifically,":[199],"attains":[201],"73.2%":[202],"mIoU":[203],"only":[205],"0.9M":[206],"parameters":[207],"test":[211],"set.":[212],"Codes":[213],"supplementary":[215],"materials":[216],"link:":[217],"https://github.com/liux520/PMSDSEN.":[218]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":3}],"updated_date":"2026-04-13T07:58:08.660418","created_date":"2025-10-10T00:00:00"}
