{"id":"https://openalex.org/W3189925608","doi":"https://doi.org/10.3390/rs13163149","title":"Multiscale and Multitemporal Road Detection from High Resolution SAR Images Using Attention Mechanism","display_name":"Multiscale and Multitemporal Road Detection from High Resolution SAR Images Using Attention Mechanism","publication_year":2021,"publication_date":"2021-08-09","ids":{"openalex":"https://openalex.org/W3189925608","doi":"https://doi.org/10.3390/rs13163149","mag":"3189925608"},"language":"en","primary_location":{"id":"doi:10.3390/rs13163149","is_oa":true,"landing_page_url":"https://doi.org/10.3390/rs13163149","pdf_url":"https://www.mdpi.com/2072-4292/13/16/3149/pdf?version=1629280572","source":{"id":"https://openalex.org/S43295729","display_name":"Remote Sensing","issn_l":"2072-4292","issn":["2072-4292"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Remote Sensing","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.mdpi.com/2072-4292/13/16/3149/pdf?version=1629280572","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5031612856","display_name":"Xiaochen Wei","orcid":"https://orcid.org/0000-0001-9395-8573"},"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/I4210137199","display_name":"Aerospace Information Research Institute","ror":"https://ror.org/0419fj215","country_code":"CN","type":"education","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210137199"]},{"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":"Xiaochen Wei","raw_affiliation_strings":["Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing 100094, China","Key Laboratory of Technology in Geo-Spatial Information Processing and Application System, Chinese Academy of Sciences, Beijing 100190, China","School of Electronic, Electrical and Communication Engineering, University of Chinese Academy of Sciences, Beijing 100049, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing 100094, China","institution_ids":["https://openalex.org/I19820366","https://openalex.org/I4210137199"]},{"raw_affiliation_string":"Key Laboratory of Technology in Geo-Spatial Information Processing and Application System, Chinese Academy of Sciences, Beijing 100190, China","institution_ids":["https://openalex.org/I19820366"]},{"raw_affiliation_string":"School of Electronic, Electrical and Communication Engineering, University of Chinese Academy of Sciences, Beijing 100049, China","institution_ids":["https://openalex.org/I4210165038"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5090674034","display_name":"Xikai Fu","orcid":"https://orcid.org/0000-0002-7489-9835"},"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/I4210137199","display_name":"Aerospace Information Research Institute","ror":"https://ror.org/0419fj215","country_code":"CN","type":"education","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210137199"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Xikai Fu","raw_affiliation_strings":["Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing 100094, China","Key Laboratory of Technology in Geo-Spatial Information Processing and Application System, Chinese Academy of Sciences, Beijing 100190, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing 100094, China","institution_ids":["https://openalex.org/I19820366","https://openalex.org/I4210137199"]},{"raw_affiliation_string":"Key Laboratory of Technology in Geo-Spatial Information Processing and Application System, Chinese Academy of Sciences, Beijing 100190, China","institution_ids":["https://openalex.org/I19820366"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100675702","display_name":"Yun Ye","orcid":"https://orcid.org/0000-0003-1868-6744"},"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/I4210137199","display_name":"Aerospace Information Research Institute","ror":"https://ror.org/0419fj215","country_code":"CN","type":"education","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210137199"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ye Yun","raw_affiliation_strings":["Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing 100094, China","Key Laboratory of Technology in Geo-Spatial Information Processing and Application System, Chinese Academy of Sciences, Beijing 100190, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing 100094, China","institution_ids":["https://openalex.org/I19820366","https://openalex.org/I4210137199"]},{"raw_affiliation_string":"Key Laboratory of Technology in Geo-Spatial Information Processing and Application System, Chinese Academy of Sciences, Beijing 100190, China","institution_ids":["https://openalex.org/I19820366"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5072466026","display_name":"Xiaolei Lv","orcid":"https://orcid.org/0000-0001-6991-583X"},"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/I4210137199","display_name":"Aerospace Information Research Institute","ror":"https://ror.org/0419fj215","country_code":"CN","type":"education","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210137199"]},{"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":"Xiaolei Lv","raw_affiliation_strings":["Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing 100094, China","Key Laboratory of Technology in Geo-Spatial Information Processing and Application System, Chinese Academy of Sciences, Beijing 100190, China","School of Electronic, Electrical and Communication Engineering, University of Chinese Academy of Sciences, Beijing 100049, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing 100094, China","institution_ids":["https://openalex.org/I19820366","https://openalex.org/I4210137199"]},{"raw_affiliation_string":"Key Laboratory of Technology in Geo-Spatial Information Processing and Application System, Chinese Academy of Sciences, Beijing 100190, China","institution_ids":["https://openalex.org/I19820366"]},{"raw_affiliation_string":"School of Electronic, Electrical and Communication Engineering, University of Chinese Academy of Sciences, Beijing 100049, China","institution_ids":["https://openalex.org/I4210165038"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5090674034"],"corresponding_institution_ids":["https://openalex.org/I19820366","https://openalex.org/I4210137199"],"apc_list":{"value":2500,"currency":"CHF","value_usd":2784},"apc_paid":{"value":2500,"currency":"CHF","value_usd":2784},"fwci":0.5545,"has_fulltext":false,"cited_by_count":5,"citation_normalized_percentile":{"value":0.62656803,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":"13","issue":"16","first_page":"3149","last_page":"3149"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T13282","display_name":"Automated Road and Building Extraction","score":1.0,"subfield":{"id":"https://openalex.org/subfields/2212","display_name":"Ocean Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T13282","display_name":"Automated Road and Building Extraction","score":1.0,"subfield":{"id":"https://openalex.org/subfields/2212","display_name":"Ocean Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11164","display_name":"Remote Sensing and LiDAR Applications","score":0.9927999973297119,"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"}},{"id":"https://openalex.org/T11606","display_name":"Infrastructure Maintenance and Monitoring","score":0.9527000188827515,"subfield":{"id":"https://openalex.org/subfields/2205","display_name":"Civil and Structural Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8165690898895264},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5854722261428833},{"id":"https://openalex.org/keywords/change-detection","display_name":"Change detection","score":0.5449527502059937},{"id":"https://openalex.org/keywords/consistency","display_name":"Consistency (knowledge bases)","score":0.48771461844444275},{"id":"https://openalex.org/keywords/preprocessor","display_name":"Preprocessor","score":0.4731265902519226},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.44769468903541565},{"id":"https://openalex.org/keywords/synthetic-aperture-radar","display_name":"Synthetic aperture radar","score":0.4419778287410736},{"id":"https://openalex.org/keywords/speckle-pattern","display_name":"Speckle pattern","score":0.4354199171066284},{"id":"https://openalex.org/keywords/focus","display_name":"Focus (optics)","score":0.43400514125823975},{"id":"https://openalex.org/keywords/filter","display_name":"Filter (signal processing)","score":0.4182448387145996},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.39929160475730896},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3540284037590027},{"id":"https://openalex.org/keywords/geology","display_name":"Geology","score":0.10216745734214783}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8165690898895264},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5854722261428833},{"id":"https://openalex.org/C203595873","wikidata":"https://www.wikidata.org/wiki/Q25389927","display_name":"Change detection","level":2,"score":0.5449527502059937},{"id":"https://openalex.org/C2776436953","wikidata":"https://www.wikidata.org/wiki/Q5163215","display_name":"Consistency (knowledge bases)","level":2,"score":0.48771461844444275},{"id":"https://openalex.org/C34736171","wikidata":"https://www.wikidata.org/wiki/Q918333","display_name":"Preprocessor","level":2,"score":0.4731265902519226},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.44769468903541565},{"id":"https://openalex.org/C87360688","wikidata":"https://www.wikidata.org/wiki/Q740686","display_name":"Synthetic aperture radar","level":2,"score":0.4419778287410736},{"id":"https://openalex.org/C102290492","wikidata":"https://www.wikidata.org/wiki/Q7575045","display_name":"Speckle pattern","level":2,"score":0.4354199171066284},{"id":"https://openalex.org/C192209626","wikidata":"https://www.wikidata.org/wiki/Q190909","display_name":"Focus (optics)","level":2,"score":0.43400514125823975},{"id":"https://openalex.org/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","level":2,"score":0.4182448387145996},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.39929160475730896},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3540284037590027},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.10216745734214783},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.3390/rs13163149","is_oa":true,"landing_page_url":"https://doi.org/10.3390/rs13163149","pdf_url":"https://www.mdpi.com/2072-4292/13/16/3149/pdf?version=1629280572","source":{"id":"https://openalex.org/S43295729","display_name":"Remote Sensing","issn_l":"2072-4292","issn":["2072-4292"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Remote Sensing","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:d47e49e0a2b4483d8e0407586efdaaec","is_oa":true,"landing_page_url":"https://doaj.org/article/d47e49e0a2b4483d8e0407586efdaaec","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Remote Sensing, Vol 13, Iss 16, p 3149 (2021)","raw_type":"article"},{"id":"pmh:oai:mdpi.com:/2072-4292/13/16/3149/","is_oa":true,"landing_page_url":"https://dx.doi.org/10.3390/rs13163149","pdf_url":null,"source":{"id":"https://openalex.org/S4306400947","display_name":"MDPI (MDPI AG)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I4210097602","host_organization_name":"Multidisciplinary Digital Publishing Institute (Switzerland)","host_organization_lineage":["https://openalex.org/I4210097602"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Remote Sensing","raw_type":"Text"}],"best_oa_location":{"id":"doi:10.3390/rs13163149","is_oa":true,"landing_page_url":"https://doi.org/10.3390/rs13163149","pdf_url":"https://www.mdpi.com/2072-4292/13/16/3149/pdf?version=1629280572","source":{"id":"https://openalex.org/S43295729","display_name":"Remote Sensing","issn_l":"2072-4292","issn":["2072-4292"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Remote Sensing","raw_type":"journal-article"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/11","display_name":"Sustainable cities and communities","score":0.6899999976158142}],"awards":[{"id":"https://openalex.org/G187382425","display_name":null,"funder_award_id":"2018YFC1505100","funder_id":"https://openalex.org/F4320335777","funder_display_name":"National Key Research and Development Program of China"},{"id":"https://openalex.org/G5645155945","display_name":null,"funder_award_id":"41801356","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/F4320335777","display_name":"National Key Research and Development Program of China","ror":null}],"has_content":{"grobid_xml":false,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W3189925608.pdf"},"referenced_works_count":41,"referenced_works":["https://openalex.org/W203741292","https://openalex.org/W2017069113","https://openalex.org/W2033815587","https://openalex.org/W2072098921","https://openalex.org/W2089970463","https://openalex.org/W2097375363","https://openalex.org/W2105833816","https://openalex.org/W2113654450","https://openalex.org/W2141188882","https://openalex.org/W2144572173","https://openalex.org/W2395611524","https://openalex.org/W2499316477","https://openalex.org/W2573956482","https://openalex.org/W2593886839","https://openalex.org/W2594169953","https://openalex.org/W2599092069","https://openalex.org/W2774258507","https://openalex.org/W2774320778","https://openalex.org/W2786492053","https://openalex.org/W2891733872","https://openalex.org/W2893801697","https://openalex.org/W2898504016","https://openalex.org/W2900680440","https://openalex.org/W2945957599","https://openalex.org/W2962891704","https://openalex.org/W2962978395","https://openalex.org/W2967073193","https://openalex.org/W2975194617","https://openalex.org/W2981689412","https://openalex.org/W2987325095","https://openalex.org/W2991394429","https://openalex.org/W3007268491","https://openalex.org/W3014641072","https://openalex.org/W3024167159","https://openalex.org/W3025007558","https://openalex.org/W3040304705","https://openalex.org/W3158827178","https://openalex.org/W3164771069","https://openalex.org/W6608365309","https://openalex.org/W6691441656","https://openalex.org/W6794593107"],"related_works":["https://openalex.org/W2793402697","https://openalex.org/W4391491570","https://openalex.org/W2042019967","https://openalex.org/W2093785611","https://openalex.org/W4386174346","https://openalex.org/W2157133621","https://openalex.org/W2019193285","https://openalex.org/W4224073133","https://openalex.org/W2056850745","https://openalex.org/W3205829146"],"abstract_inverted_index":{"Road":[0],"detection":[1,118,133,254],"from":[2,31,134],"images":[3,102],"has":[4,277],"emerged":[5],"as":[6,90,267],"an":[7],"important":[8],"way":[9,220],"to":[10,45,52,71,162,178,191,202,221,236,256,271,296],"obtain":[11,192],"road":[12,29,87,96,132,226,253],"information,":[13,168],"thereby":[14],"gaining":[15],"much":[16],"attention":[17,154,172,176],"in":[18,41,67,77,98,117,318,328,341],"recent":[19],"years.":[20],"However,":[21],"most":[22],"existing":[23],"methods":[24,51,60],"only":[25,276],"focus":[26],"on":[27,153],"extracting":[28],"information":[30,66],"single":[32],"temporal":[33,84,92,140,171,180,185,292],"intensity":[34],"images,":[35],"which":[36,137,169],"may":[37],"cause":[38],"a":[39,125,218,251,268],"decrease":[40],"image":[42,289],"resolution":[43],"due":[44],"the":[46,64,68,73,78,83,91,95,99,105,115,139,160,189,193,204,208,223,230,280,287,291,311,319,329,335,342],"use":[47,165],"of":[48,86,166,197,210,225,239],"spatial":[49],"filter":[50,72,293],"avoid":[53],"coherent":[54,74],"speckle":[55,75],"noises.":[56],"Some":[57],"newly":[58],"developed":[59],"take":[61],"into":[62],"account":[63],"multi-temporal":[65],"preprocessing":[69],"stage":[70],"noise":[76],"SAR":[79,101,135,198,288],"imagery.":[80],"They":[81],"ignore":[82],"characteristic":[85],"objects":[88,97],"such":[89],"consistency":[93,141,186],"for":[94,131],"multitemporal":[100,128,167,252],"that":[103,150,174,200,232,275],"cover":[104],"same":[106],"area":[107],"and":[108,127,145,279,307,315,322,325,339,345],"are":[109,151,212],"taken":[110],"at":[111],"adjacent":[112],"times,":[113],"causing":[114],"limitation":[116],"performance.":[119],"In":[120,156],"this":[121],"paper,":[122],"we":[123,158,249],"propose":[124,159,229],"multiscale":[126,146,215],"network":[129,263],"(MSMTHRNet)":[130],"imagery,":[136],"contains":[138,170],"enhancement":[142],"module":[143,148],"(TCEM)":[144],"fusion":[147],"(MSFM)":[149],"based":[152],"mechanism.":[155],"particular,":[157],"TCEM":[161,190],"make":[163],"full":[164],"submodule":[173],"applies":[175,233],"mechanism":[177],"capture":[179],"contextual":[181],"information.":[182],"We":[183,228],"enforce":[184],"constraint":[187],"by":[188,313,323,337],"enhanced":[194],"feature":[195],"representations":[196],"imagery":[199],"help":[201],"distinguish":[203],"real":[205],"roads.":[206],"Since":[207,243],"width":[209],"roads":[211],"various,":[213],"incorporating":[214],"features":[216],"is":[217,245,265,286,294],"promising":[219],"improve":[222,309],"results":[224],"detection.":[227],"MSFM":[231,278],"learned":[234],"weights":[235],"combine":[237],"predictions":[238],"different":[240],"scale":[241],"features.":[242],"there":[244],"no":[246],"public":[247],"dataset,":[248,305],"build":[250],"dataset":[255],"evaluate":[257],"our":[258,299,303],"methods.":[259],"State-of-the-art":[260],"semantic":[261],"segmentation":[262],"HRNetV2":[264,312],"used":[266],"baseline":[269],"method":[270],"compare":[272,297],"with":[273,298],"MSHRNet":[274,306],"MSMTHRNet.":[281,301],"The":[282],"MSHRNet(TAF)":[283],"whose":[284],"input":[285],"after":[290],"adopted":[295],"proposed":[300],"On":[302],"test":[304],"MSMTHRNet":[308,332],"over":[310,334],"2.1%":[314],"14.19%,":[316],"respectively,":[317,327],"IoU":[320,343],"metric":[321,344],"3.25%":[324],"17.08%,":[326],"APLS":[330,346],"metric.":[331],"improves":[333],"MSMTHRNet(TAF)":[336],"8.23%":[338],"8.81%":[340],"metric,":[347],"respectively.":[348]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":1}],"updated_date":"2026-07-22T07:51:19.307946","created_date":"2025-10-10T00:00:00"}