{"id":"https://openalex.org/W3200549186","doi":"https://doi.org/10.1109/ijcnn52387.2021.9533572","title":"Efficient Resolution-preserving Network for Real-time Semantic Segmentation","display_name":"Efficient Resolution-preserving Network for Real-time Semantic Segmentation","publication_year":2021,"publication_date":"2021-07-18","ids":{"openalex":"https://openalex.org/W3200549186","doi":"https://doi.org/10.1109/ijcnn52387.2021.9533572","mag":"3200549186"},"language":"en","primary_location":{"id":"doi:10.1109/ijcnn52387.2021.9533572","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn52387.2021.9533572","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 International Joint Conference on Neural Networks (IJCNN)","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/A5101933531","display_name":"Juan Zhao","orcid":"https://orcid.org/0000-0002-5005-0036"},"institutions":[{"id":"https://openalex.org/I47720641","display_name":"Huazhong University of Science and Technology","ror":"https://ror.org/00p991c53","country_code":"CN","type":"education","lineage":["https://openalex.org/I47720641"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Juan Zhao","raw_affiliation_strings":["School of Computer Science and Technology, Huazhong University of Science and Technology"],"affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology, Huazhong University of Science and Technology","institution_ids":["https://openalex.org/I47720641"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5111677737","display_name":"Fuhao Zou","orcid":null},"institutions":[{"id":"https://openalex.org/I47720641","display_name":"Huazhong University of Science and Technology","ror":"https://ror.org/00p991c53","country_code":"CN","type":"education","lineage":["https://openalex.org/I47720641"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Fuhao Zou","raw_affiliation_strings":["School of Computer Science and Technology, Huazhong University of Science and Technology"],"affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology, Huazhong University of Science and Technology","institution_ids":["https://openalex.org/I47720641"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5039670436","display_name":"Ruixuan Li","orcid":"https://orcid.org/0000-0002-7791-5511"},"institutions":[{"id":"https://openalex.org/I47720641","display_name":"Huazhong University of Science and Technology","ror":"https://ror.org/00p991c53","country_code":"CN","type":"education","lineage":["https://openalex.org/I47720641"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ruixuan Li","raw_affiliation_strings":["School of Computer Science and Technology, Huazhong University of Science and Technology"],"affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology, Huazhong University of Science and Technology","institution_ids":["https://openalex.org/I47720641"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100707297","display_name":"Yufei Li","orcid":"https://orcid.org/0000-0002-2223-0208"},"institutions":[{"id":"https://openalex.org/I47720641","display_name":"Huazhong University of Science and Technology","ror":"https://ror.org/00p991c53","country_code":"CN","type":"education","lineage":["https://openalex.org/I47720641"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yufei Li","raw_affiliation_strings":["School of Computer Science and Technology, Huazhong University of Science and Technology"],"affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology, Huazhong University of Science and Technology","institution_ids":["https://openalex.org/I47720641"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100723843","display_name":"Kai Li","orcid":"https://orcid.org/0000-0002-1290-1450"},"institutions":[{"id":"https://openalex.org/I47720641","display_name":"Huazhong University of Science and Technology","ror":"https://ror.org/00p991c53","country_code":"CN","type":"education","lineage":["https://openalex.org/I47720641"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Kai Li","raw_affiliation_strings":["School of Computer Science and Technology, Huazhong University of Science and Technology"],"affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology, Huazhong University of Science and Technology","institution_ids":["https://openalex.org/I47720641"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5101933531"],"corresponding_institution_ids":["https://openalex.org/I47720641"],"apc_list":null,"apc_paid":null,"fwci":0.2882,"has_fulltext":false,"cited_by_count":6,"citation_normalized_percentile":{"value":0.55931373,"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":"1","last_page":"8"},"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/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.9994000196456909,"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/T11714","display_name":"Multimodal Machine Learning 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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8695601224899292},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.7790696620941162},{"id":"https://openalex.org/keywords/inference","display_name":"Inference","score":0.7064064741134644},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.6042109727859497},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.577314555644989},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.573776364326477},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.5129008293151855},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.49770572781562805},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.47521525621414185},{"id":"https://openalex.org/keywords/semantics","display_name":"Semantics (computer science)","score":0.4729684889316559},{"id":"https://openalex.org/keywords/backbone-network","display_name":"Backbone network","score":0.4329950213432312},{"id":"https://openalex.org/keywords/image-resolution","display_name":"Image resolution","score":0.41568413376808167},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3818202018737793},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.380719393491745},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3688558340072632},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.34815216064453125}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8695601224899292},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.7790696620941162},{"id":"https://openalex.org/C2776214188","wikidata":"https://www.wikidata.org/wiki/Q408386","display_name":"Inference","level":2,"score":0.7064064741134644},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.6042109727859497},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.577314555644989},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.573776364326477},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.5129008293151855},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.49770572781562805},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.47521525621414185},{"id":"https://openalex.org/C184337299","wikidata":"https://www.wikidata.org/wiki/Q1437428","display_name":"Semantics (computer science)","level":2,"score":0.4729684889316559},{"id":"https://openalex.org/C88796919","wikidata":"https://www.wikidata.org/wiki/Q1142907","display_name":"Backbone network","level":2,"score":0.4329950213432312},{"id":"https://openalex.org/C205372480","wikidata":"https://www.wikidata.org/wiki/Q210521","display_name":"Image resolution","level":2,"score":0.41568413376808167},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3818202018737793},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.380719393491745},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3688558340072632},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.34815216064453125},{"id":"https://openalex.org/C187736073","wikidata":"https://www.wikidata.org/wiki/Q2920921","display_name":"Management","level":1,"score":0.0},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","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/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","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/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/ijcnn52387.2021.9533572","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn52387.2021.9533572","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 International Joint Conference on Neural Networks (IJCNN)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.6000000238418579,"id":"https://metadata.un.org/sdg/11","display_name":"Sustainable cities and communities"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":59,"referenced_works":["https://openalex.org/W1677182931","https://openalex.org/W1686810756","https://openalex.org/W1817277359","https://openalex.org/W1836465849","https://openalex.org/W1901129140","https://openalex.org/W1903029394","https://openalex.org/W1923697677","https://openalex.org/W2097117768","https://openalex.org/W2117539524","https://openalex.org/W2163605009","https://openalex.org/W2194775991","https://openalex.org/W2295744361","https://openalex.org/W2340897893","https://openalex.org/W2412782625","https://openalex.org/W2419448466","https://openalex.org/W2557406251","https://openalex.org/W2560023338","https://openalex.org/W2563705555","https://openalex.org/W2598666589","https://openalex.org/W2612445135","https://openalex.org/W2630837129","https://openalex.org/W2736981815","https://openalex.org/W2752782242","https://openalex.org/W2762439315","https://openalex.org/W2804488433","https://openalex.org/W2884585870","https://openalex.org/W2886934227","https://openalex.org/W2907965334","https://openalex.org/W2921903858","https://openalex.org/W2940262938","https://openalex.org/W2949117887","https://openalex.org/W2962891704","https://openalex.org/W2963163009","https://openalex.org/W2963209464","https://openalex.org/W2963418739","https://openalex.org/W2963420686","https://openalex.org/W2963727650","https://openalex.org/W2963741402","https://openalex.org/W2963840672","https://openalex.org/W2963881378","https://openalex.org/W2964217532","https://openalex.org/W2964309882","https://openalex.org/W2982083293","https://openalex.org/W2997225633","https://openalex.org/W4293406525","https://openalex.org/W4297775537","https://openalex.org/W6637373629","https://openalex.org/W6638480814","https://openalex.org/W6638667902","https://openalex.org/W6639824700","https://openalex.org/W6640295612","https://openalex.org/W6684191040","https://openalex.org/W6696085341","https://openalex.org/W6697204977","https://openalex.org/W6717372056","https://openalex.org/W6737664043","https://openalex.org/W6739696289","https://openalex.org/W6751733626","https://openalex.org/W6757855356"],"related_works":["https://openalex.org/W2522537526","https://openalex.org/W4308659218","https://openalex.org/W2998228095","https://openalex.org/W2791535170","https://openalex.org/W2055243143","https://openalex.org/W2001271057","https://openalex.org/W2468641972","https://openalex.org/W1586536980","https://openalex.org/W2627333571","https://openalex.org/W1981621185"],"abstract_inverted_index":{"Inference":[0],"process":[1],"of":[2,114,125],"the":[3,17,91,99,112,118,123],"semantic":[4,30,51,62],"segmentation":[5,31],"is":[6,21,37,57,72],"a":[7,46,85,103],"dense":[8],"predictive":[9],"task":[10],"who":[11],"requires":[12],"heavy":[13],"computational":[14,19],"cost.":[15],"However,":[16],"available":[18],"resource":[20],"quite":[22],"limited":[23],"in":[24],"many":[25],"practical":[26],"scenarios.":[27],"Therefore,":[28],"real-time":[29,50],"balancing":[32],"both":[33],"speed":[34,106,124],"and":[35,107],"accuracy":[36],"becoming":[38],"particularly":[39],"significant.":[40],"In":[41],"this":[42],"paper,":[43],"we":[44,110],"propose":[45],"resolution-preserving":[47,70],"framework":[48],"for":[49],"segmentation.":[52],"A":[53,69],"lightweight":[54],"backbone":[55],"network":[56],"employed":[58],"to":[59,74,89],"obtain":[60,111],"high-level":[61],"features,":[63],"which":[64],"will":[65],"be":[66],"fully":[67],"reused.":[68],"module":[71,88],"designed":[73],"extract":[75],"low-level":[76],"spatial":[77],"details":[78],"while":[79],"retaining":[80],"high-resolution.":[81],"We":[82],"also":[83],"introduce":[84],"feature":[86],"refinement":[87],"improve":[90],"performance.":[92],"Experiments":[93],"on":[94,117,128],"Cityscapes":[95,119],"dataset":[96],"demonstrate":[97],"that":[98],"proposed":[100],"ERPNet":[101],"achieves":[102],"balance":[104],"between":[105],"accuracy.":[108],"Especially,":[109],"results":[113],"73.6%":[115],"mIoU":[116],"test":[120],"set":[121],"with":[122],"109.5":[126],"FPS":[127],"single":[129],"GeForce":[130],"GTX":[131],"2080":[132],"card.":[133]},"counts_by_year":[{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":3}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}