{"id":"https://openalex.org/W3089583965","doi":"https://doi.org/10.1109/ijcnn48605.2020.9207012","title":"HLNet: Modeling High and Low Frequencies for Scene Parsing","display_name":"HLNet: Modeling High and Low Frequencies for Scene Parsing","publication_year":2020,"publication_date":"2020-07-01","ids":{"openalex":"https://openalex.org/W3089583965","doi":"https://doi.org/10.1109/ijcnn48605.2020.9207012","mag":"3089583965"},"language":"en","primary_location":{"id":"doi:10.1109/ijcnn48605.2020.9207012","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn48605.2020.9207012","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 International Joint Conference on Neural Networks (IJCNN)","raw_type":"proceedings-article"},"type":"conference-paper","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/A5000168148","display_name":"Kaiqiang Xu","orcid":"https://orcid.org/0000-0001-6124-6328"},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"government","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I4210090176","display_name":"Institute of Computing Technology","ror":"https://ror.org/0090r4d87","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210090176"]},{"id":"https://openalex.org/I4210165038","display_name":"University of Chinese Academy of Sciences","ror":"https://ror.org/05qbk4x57","country_code":"CN","type":"education","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210165038"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Kaiqiang Xu","raw_affiliation_strings":["Institute of Computing Technology, Chinese Academy of Sciences, China","University of Chinese Academy of Sciences, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute of Computing Technology, Chinese Academy of Sciences, China","institution_ids":["https://openalex.org/I4210090176","https://openalex.org/I19820366"]},{"raw_affiliation_string":"University of Chinese Academy of Sciences, China","institution_ids":["https://openalex.org/I4210165038"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5055016576","display_name":"Zhulin An","orcid":"https://orcid.org/0000-0002-7593-8293"},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"government","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I4210090176","display_name":"Institute of Computing Technology","ror":"https://ror.org/0090r4d87","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210090176"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhulin An","raw_affiliation_strings":["Institute of Computing Technology, Chinese Academy of Sciences, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute of Computing Technology, Chinese Academy of Sciences, China","institution_ids":["https://openalex.org/I4210090176","https://openalex.org/I19820366"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101774154","display_name":"Hui Zhu","orcid":"https://orcid.org/0000-0001-6038-8674"},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"government","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I4210090176","display_name":"Institute of Computing Technology","ror":"https://ror.org/0090r4d87","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210090176"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hui Zhu","raw_affiliation_strings":["Institute of Computing Technology, Chinese Academy of Sciences, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute of Computing Technology, Chinese Academy of Sciences, China","institution_ids":["https://openalex.org/I4210090176","https://openalex.org/I19820366"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5039539402","display_name":"Xiaolong Hu","orcid":"https://orcid.org/0000-0003-2173-9229"},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"government","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I4210090176","display_name":"Institute of Computing Technology","ror":"https://ror.org/0090r4d87","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210090176"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiaolong Hu","raw_affiliation_strings":["Institute of Computing Technology, Chinese Academy of Sciences, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute of Computing Technology, Chinese Academy of Sciences, China","institution_ids":["https://openalex.org/I4210090176","https://openalex.org/I19820366"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5103245119","display_name":"Yongjun Xu","orcid":"https://orcid.org/0000-0001-6647-0986"},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"government","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I4210090176","display_name":"Institute of Computing Technology","ror":"https://ror.org/0090r4d87","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210090176"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yongjun Xu","raw_affiliation_strings":["Institute of Computing Technology, Chinese Academy of Sciences, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute of Computing Technology, Chinese Academy of Sciences, China","institution_ids":["https://openalex.org/I4210090176","https://openalex.org/I19820366"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":"abs 1908 9699","issue":null,"first_page":"1","last_page":"8"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.9977999925613403,"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/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.9977999925613403,"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/T10036","display_name":"Advanced Neural Network Applications","score":0.9925000071525574,"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/T11164","display_name":"Remote Sensing and LiDAR Applications","score":0.9878000020980835,"subfield":{"id":"https://openalex.org/subfields/2305","display_name":"Environmental Engineering"},"field":{"id":"https://openalex.org/fields/23","display_name":"Environmental Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/parsing","display_name":"Parsing","score":0.7796230316162109},{"id":"https://openalex.org/keywords/kernel","display_name":"Kernel (algebra)","score":0.7189681529998779},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6984710693359375},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6530743837356567},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.6136792898178101},{"id":"https://openalex.org/keywords/component","display_name":"Component (thermodynamics)","score":0.6068341135978699},{"id":"https://openalex.org/keywords/similarity","display_name":"Similarity (geometry)","score":0.5985711812973022},{"id":"https://openalex.org/keywords/low-frequency","display_name":"Low frequency","score":0.5469009876251221},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5387018918991089},{"id":"https://openalex.org/keywords/low-resolution","display_name":"Low resolution","score":0.44034141302108765},{"id":"https://openalex.org/keywords/high-resolution","display_name":"High resolution","score":0.3326689600944519},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.22007831931114197},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.1803683042526245},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.061696380376815796}],"concepts":[{"id":"https://openalex.org/C186644900","wikidata":"https://www.wikidata.org/wiki/Q194152","display_name":"Parsing","level":2,"score":0.7796230316162109},{"id":"https://openalex.org/C74193536","wikidata":"https://www.wikidata.org/wiki/Q574844","display_name":"Kernel (algebra)","level":2,"score":0.7189681529998779},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6984710693359375},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6530743837356567},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.6136792898178101},{"id":"https://openalex.org/C168167062","wikidata":"https://www.wikidata.org/wiki/Q1117970","display_name":"Component (thermodynamics)","level":2,"score":0.6068341135978699},{"id":"https://openalex.org/C103278499","wikidata":"https://www.wikidata.org/wiki/Q254465","display_name":"Similarity (geometry)","level":3,"score":0.5985711812973022},{"id":"https://openalex.org/C104892082","wikidata":"https://www.wikidata.org/wiki/Q17156810","display_name":"Low frequency","level":2,"score":0.5469009876251221},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5387018918991089},{"id":"https://openalex.org/C3019883945","wikidata":"https://www.wikidata.org/wiki/Q210521","display_name":"Low resolution","level":3,"score":0.44034141302108765},{"id":"https://openalex.org/C3020199158","wikidata":"https://www.wikidata.org/wiki/Q210521","display_name":"High resolution","level":2,"score":0.3326689600944519},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.22007831931114197},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.1803683042526245},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.061696380376815796},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.0},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","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/C97355855","wikidata":"https://www.wikidata.org/wiki/Q11473","display_name":"Thermodynamics","level":1,"score":0.0},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/ijcnn48605.2020.9207012","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn48605.2020.9207012","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 International Joint Conference on Neural Networks (IJCNN)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.8399999737739563,"display_name":"Sustainable cities and communities","id":"https://metadata.un.org/sdg/11"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":56,"referenced_works":["https://openalex.org/W1745334888","https://openalex.org/W1899185266","https://openalex.org/W1901129140","https://openalex.org/W1903029394","https://openalex.org/W1999908130","https://openalex.org/W2097117768","https://openalex.org/W2103504761","https://openalex.org/W2163605009","https://openalex.org/W2194775991","https://openalex.org/W2340897893","https://openalex.org/W2412782625","https://openalex.org/W2508741746","https://openalex.org/W2556967412","https://openalex.org/W2560023338","https://openalex.org/W2563705555","https://openalex.org/W2592939477","https://openalex.org/W2598666589","https://openalex.org/W2737258237","https://openalex.org/W2884436604","https://openalex.org/W2884822772","https://openalex.org/W2886934227","https://openalex.org/W2895340641","https://openalex.org/W2940262938","https://openalex.org/W2948080074","https://openalex.org/W2948210185","https://openalex.org/W2949846184","https://openalex.org/W2955813853","https://openalex.org/W2963091558","https://openalex.org/W2963318290","https://openalex.org/W2963727650","https://openalex.org/W2963815618","https://openalex.org/W2963840672","https://openalex.org/W2963855133","https://openalex.org/W2963881378","https://openalex.org/W2963996492","https://openalex.org/W2969926710","https://openalex.org/W2970206392","https://openalex.org/W2975755342","https://openalex.org/W2988396473","https://openalex.org/W2997471409","https://openalex.org/W3014641072","https://openalex.org/W3109301572","https://openalex.org/W6639824700","https://openalex.org/W6639927594","https://openalex.org/W6684191040","https://openalex.org/W6696085341","https://openalex.org/W6729983426","https://openalex.org/W6749996660","https://openalex.org/W6753421600","https://openalex.org/W6754123467","https://openalex.org/W6761630670","https://openalex.org/W6766877868","https://openalex.org/W6767071366","https://openalex.org/W6767415007","https://openalex.org/W6768371451","https://openalex.org/W6806108000"],"related_works":["https://openalex.org/W4296995023","https://openalex.org/W2070173637","https://openalex.org/W630367614","https://openalex.org/W3118545013","https://openalex.org/W2133155333","https://openalex.org/W1516116847","https://openalex.org/W2412281349","https://openalex.org/W4212954839","https://openalex.org/W4241811109","https://openalex.org/W4401570279"],"abstract_inverted_index":{"In":[0],"this":[1],"paper":[2],"we":[3,43,76,121],"propose":[4],"to":[5,64,90,110,127],"model":[6,140],"high":[7,35,66,79,94],"and":[8,37,48,53,67,87,105,147],"low":[9,41,68,99,113],"frequencies":[10,36,69],"of":[11,27,34,40,70,118],"segmentation":[12,72],"map,":[13,73],"based":[14,61],"on":[15,31,62,145,150],"the":[16,19,32,71,138],"observation":[17],"that":[18,137],"map":[20],"can":[21],"be":[22],"seen":[23],"as":[24],"a":[25,50,78,83,92,98,112],"mixture":[26],"different":[28,124],"frequencies.":[29],"Based":[30],"sparsity":[33],"local":[38],"similarity":[39,103],"frequencies,":[42],"design":[44,77],"special":[45],"building":[46],"blocks":[47],"further":[49],"novel":[51],"High":[52],"Low":[54],"frequency":[55,80,95,100,114,125],"Network":[56],"(HLNet)":[57],"with":[58,82,102],"two":[59,119,123],"branches":[60],"FCN":[63],"predict":[65,91,111],"respectively.":[74],"Specifically,":[75],"branch":[81,101],"small":[84],"kernel":[85],"size":[86],"high-resolution":[88],"features":[89,107],"sparse":[93],"component.":[96,115],"Mean-while,":[97],"computing":[104],"low-resolution":[106],"is":[108],"employed":[109],"On":[116],"top":[117],"branches,":[120],"combine":[122],"components":[126],"generate":[128],"final":[129],"result":[130],"for":[131],"scene":[132],"parsing.":[133],"We":[134],"empirically":[135],"demonstrate":[136],"designed":[139],"achieves":[141],"superior":[142],"performance":[143],"44.07%":[144],"ADE20K,":[146],"80.14%":[148],"mIoU":[149],"Cityscapes":[151],"datasets.":[152]},"counts_by_year":[],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}
