{"id":"https://openalex.org/W4386598548","doi":"https://doi.org/10.1109/icip49359.2023.10222851","title":"A Feature Refinement Module for Light-Weight Semantic Segmentation Network","display_name":"A Feature Refinement Module for Light-Weight Semantic Segmentation Network","publication_year":2023,"publication_date":"2023-09-11","ids":{"openalex":"https://openalex.org/W4386598548","doi":"https://doi.org/10.1109/icip49359.2023.10222851"},"language":"en","primary_location":{"id":"doi:10.1109/icip49359.2023.10222851","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icip49359.2023.10222851","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 IEEE International Conference on Image Processing (ICIP)","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/A5114430029","display_name":"Zhiyan Wang","orcid":"https://orcid.org/0009-0000-7448-5117"},"institutions":[{"id":"https://openalex.org/I169689159","display_name":"PLA Information Engineering University","ror":"https://ror.org/00mm1qk40","country_code":"CN","type":"education","lineage":["https://openalex.org/I169689159"]},{"id":"https://openalex.org/I38877650","display_name":"Zhengzhou University","ror":"https://ror.org/04ypx8c21","country_code":"CN","type":"education","lineage":["https://openalex.org/I38877650"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhiyan Wang","raw_affiliation_strings":["Zhengzhou University,School of Electrical and Information Engineering,China","School of Electrical and Information Engineering, Zhengzhou University, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Zhengzhou University,School of Electrical and Information Engineering,China","institution_ids":["https://openalex.org/I169689159","https://openalex.org/I38877650"]},{"raw_affiliation_string":"School of Electrical and Information Engineering, Zhengzhou University, China","institution_ids":["https://openalex.org/I38877650"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101507341","display_name":"Xin Guo","orcid":"https://orcid.org/0000-0003-4153-4642"},"institutions":[{"id":"https://openalex.org/I169689159","display_name":"PLA Information Engineering University","ror":"https://ror.org/00mm1qk40","country_code":"CN","type":"education","lineage":["https://openalex.org/I169689159"]},{"id":"https://openalex.org/I38877650","display_name":"Zhengzhou University","ror":"https://ror.org/04ypx8c21","country_code":"CN","type":"education","lineage":["https://openalex.org/I38877650"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xin Guo","raw_affiliation_strings":["Zhengzhou University,School of Electrical and Information Engineering,China","School of Electrical and Information Engineering, Zhengzhou University, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Zhengzhou University,School of Electrical and Information Engineering,China","institution_ids":["https://openalex.org/I169689159","https://openalex.org/I38877650"]},{"raw_affiliation_string":"School of Electrical and Information Engineering, Zhengzhou University, China","institution_ids":["https://openalex.org/I38877650"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101581314","display_name":"Song Wang","orcid":"https://orcid.org/0009-0009-0311-5536"},"institutions":[{"id":"https://openalex.org/I169689159","display_name":"PLA Information Engineering University","ror":"https://ror.org/00mm1qk40","country_code":"CN","type":"education","lineage":["https://openalex.org/I169689159"]},{"id":"https://openalex.org/I38877650","display_name":"Zhengzhou University","ror":"https://ror.org/04ypx8c21","country_code":"CN","type":"education","lineage":["https://openalex.org/I38877650"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Song Wang","raw_affiliation_strings":["Zhengzhou University,School of Electrical and Information Engineering,China","School of Electrical and Information Engineering, Zhengzhou University, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Zhengzhou University,School of Electrical and Information Engineering,China","institution_ids":["https://openalex.org/I169689159","https://openalex.org/I38877650"]},{"raw_affiliation_string":"School of Electrical and Information Engineering, Zhengzhou University, China","institution_ids":["https://openalex.org/I38877650"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5018466277","display_name":"Peixiao Zheng","orcid":null},"institutions":[{"id":"https://openalex.org/I169689159","display_name":"PLA Information Engineering University","ror":"https://ror.org/00mm1qk40","country_code":"CN","type":"education","lineage":["https://openalex.org/I169689159"]},{"id":"https://openalex.org/I38877650","display_name":"Zhengzhou University","ror":"https://ror.org/04ypx8c21","country_code":"CN","type":"education","lineage":["https://openalex.org/I38877650"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Peixiao Zheng","raw_affiliation_strings":["Zhengzhou University,School of Electrical and Information Engineering,China","School of Electrical and Information Engineering, Zhengzhou University, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Zhengzhou University,School of Electrical and Information Engineering,China","institution_ids":["https://openalex.org/I169689159","https://openalex.org/I38877650"]},{"raw_affiliation_string":"School of Electrical and Information Engineering, Zhengzhou University, China","institution_ids":["https://openalex.org/I38877650"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100326349","display_name":"Lin Qi","orcid":"https://orcid.org/0000-0002-4558-6741"},"institutions":[{"id":"https://openalex.org/I169689159","display_name":"PLA Information Engineering University","ror":"https://ror.org/00mm1qk40","country_code":"CN","type":"education","lineage":["https://openalex.org/I169689159"]},{"id":"https://openalex.org/I38877650","display_name":"Zhengzhou University","ror":"https://ror.org/04ypx8c21","country_code":"CN","type":"education","lineage":["https://openalex.org/I38877650"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Lin Qi","raw_affiliation_strings":["Zhengzhou University,School of Electrical and Information Engineering,China","School of Electrical and Information Engineering, Zhengzhou University, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Zhengzhou University,School of Electrical and Information Engineering,China","institution_ids":["https://openalex.org/I169689159","https://openalex.org/I38877650"]},{"raw_affiliation_string":"School of Electrical and Information Engineering, Zhengzhou University, China","institution_ids":["https://openalex.org/I38877650"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.3368,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.5877601,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"2035","last_page":"2039"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10036","display_name":"Advanced Neural Network Applications","score":1.0,"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":1.0,"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":0.9972000122070312,"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":0.9969000220298767,"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":0.7751349210739136},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.749318540096283},{"id":"https://openalex.org/keywords/inference","display_name":"Inference","score":0.6114630699157715},{"id":"https://openalex.org/keywords/semantics","display_name":"Semantics (computer science)","score":0.5614352822303772},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5506554841995239},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.54194176197052},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.4708663523197174},{"id":"https://openalex.org/keywords/computational-complexity-theory","display_name":"Computational complexity theory","score":0.46413037180900574},{"id":"https://openalex.org/keywords/transformer","display_name":"Transformer","score":0.4612656235694885},{"id":"https://openalex.org/keywords/block","display_name":"Block (permutation group theory)","score":0.445792019367218},{"id":"https://openalex.org/keywords/flops","display_name":"FLOPS","score":0.42842069268226624},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.41777336597442627},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.41426628828048706},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.2555495500564575},{"id":"https://openalex.org/keywords/parallel-computing","display_name":"Parallel computing","score":0.11716064810752869},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.08485034108161926}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7751349210739136},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.749318540096283},{"id":"https://openalex.org/C2776214188","wikidata":"https://www.wikidata.org/wiki/Q408386","display_name":"Inference","level":2,"score":0.6114630699157715},{"id":"https://openalex.org/C184337299","wikidata":"https://www.wikidata.org/wiki/Q1437428","display_name":"Semantics (computer science)","level":2,"score":0.5614352822303772},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5506554841995239},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.54194176197052},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.4708663523197174},{"id":"https://openalex.org/C179799912","wikidata":"https://www.wikidata.org/wiki/Q205084","display_name":"Computational complexity theory","level":2,"score":0.46413037180900574},{"id":"https://openalex.org/C66322947","wikidata":"https://www.wikidata.org/wiki/Q11658","display_name":"Transformer","level":3,"score":0.4612656235694885},{"id":"https://openalex.org/C2777210771","wikidata":"https://www.wikidata.org/wiki/Q4927124","display_name":"Block (permutation group theory)","level":2,"score":0.445792019367218},{"id":"https://openalex.org/C3826847","wikidata":"https://www.wikidata.org/wiki/Q188768","display_name":"FLOPS","level":2,"score":0.42842069268226624},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.41777336597442627},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.41426628828048706},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.2555495500564575},{"id":"https://openalex.org/C173608175","wikidata":"https://www.wikidata.org/wiki/Q232661","display_name":"Parallel computing","level":1,"score":0.11716064810752869},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.08485034108161926},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","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/C165801399","wikidata":"https://www.wikidata.org/wiki/Q25428","display_name":"Voltage","level":2,"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/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/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0},{"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/C94625758","wikidata":"https://www.wikidata.org/wiki/Q7163","display_name":"Politics","level":2,"score":0.0},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icip49359.2023.10222851","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icip49359.2023.10222851","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 IEEE International Conference on Image Processing (ICIP)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/11","score":0.800000011920929,"display_name":"Sustainable cities and communities"}],"awards":[{"id":"https://openalex.org/G2745735843","display_name":null,"funder_award_id":"62101503","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"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":30,"referenced_works":["https://openalex.org/W1817277359","https://openalex.org/W1903029394","https://openalex.org/W2560023338","https://openalex.org/W2962782553","https://openalex.org/W2963890956","https://openalex.org/W3034958977","https://openalex.org/W3035564946","https://openalex.org/W3042173136","https://openalex.org/W3107634219","https://openalex.org/W3110440461","https://openalex.org/W3112503277","https://openalex.org/W3122412340","https://openalex.org/W3168495321","https://openalex.org/W3190475555","https://openalex.org/W3195225508","https://openalex.org/W3209412357","https://openalex.org/W3211490618","https://openalex.org/W4220686172","https://openalex.org/W4293406525","https://openalex.org/W4300479382","https://openalex.org/W4306311936","https://openalex.org/W4312688875","https://openalex.org/W4312907595","https://openalex.org/W4385346076","https://openalex.org/W6638480814","https://openalex.org/W6717372056","https://openalex.org/W6751146195","https://openalex.org/W6797399245","https://openalex.org/W6799041125","https://openalex.org/W6846053352"],"related_works":["https://openalex.org/W4315697128","https://openalex.org/W3102845713","https://openalex.org/W2971502891","https://openalex.org/W3205506801","https://openalex.org/W4280599700","https://openalex.org/W3183570023","https://openalex.org/W4382323155","https://openalex.org/W2016508734","https://openalex.org/W4287067436","https://openalex.org/W3188310744"],"abstract_inverted_index":{"Low":[0],"computational":[1,129],"complexity":[2],"and":[3,99,111,128,141],"high":[4],"segmentation":[5,14,66],"accuracy":[6,44,127],"are":[7,145],"both":[8],"essential":[9],"to":[10,17,27,39,46,68,88],"the":[11,20,47,50,54,58,70,77,97,114,119],"real-world":[12],"semantic":[13,65,74],"tasks.":[15],"However,":[16],"speed":[18],"up":[19],"model":[21],"inference,":[22],"most":[23],"existing":[24],"approaches":[25],"tend":[26],"design":[28],"light-weight":[29,78],"networks":[30],"with":[31],"a":[32,40,63,81,106,123],"very":[33],"limited":[34],"number":[35],"of":[36,49,53,72],"parameters,":[37],"leading":[38],"considerable":[41],"degradation":[42],"in":[43],"due":[45],"decrease":[48],"representation":[51],"ability":[52],"networks.":[55],"To":[56],"solve":[57],"problem,":[59],"this":[60],"paper":[61],"proposes":[62],"novel":[64],"method":[67,121],"improve":[69],"capacity":[71],"obtaining":[73],"information":[75,103],"for":[76,132],"network.":[79],"Specifically,":[80],"feature":[82,93],"refinement":[83],"module":[84],"(FRM)":[85],"is":[86,139],"proposed":[87,120],"extract":[89],"semantics":[90],"from":[91],"multi-stage":[92],"maps":[94],"generated":[95],"by":[96,104],"backbone":[98],"capture":[100],"non-local":[101],"contextual":[102],"utilizing":[105],"transformer":[107],"block.":[108],"On":[109],"Cityscapes":[110,133],"Bdd100K":[112],"datasets,":[113],"experimental":[115],"results":[116],"demonstrate":[117],"that":[118],"achieves":[122],"promising":[124],"trade-off":[125],"between":[126],"cost,":[130],"especially":[131],"test":[134],"set":[135],"where":[136],"80.4%":[137],"mIoU":[138],"achieved":[140],"only":[142],"214.82":[143],"GFLOPs":[144],"required.":[146]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
