{"id":"https://openalex.org/W4387986960","doi":"https://doi.org/10.1109/access.2023.3328221","title":"DB-HRNet: Dual Branch High-Resolution Network for Human Pose Estimation","display_name":"DB-HRNet: Dual Branch High-Resolution Network for Human Pose Estimation","publication_year":2023,"publication_date":"2023-01-01","ids":{"openalex":"https://openalex.org/W4387986960","doi":"https://doi.org/10.1109/access.2023.3328221"},"language":"en","primary_location":{"id":"doi:10.1109/access.2023.3328221","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2023.3328221","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/6514899/10298218.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://ieeexplore.ieee.org/ielx7/6287639/6514899/10298218.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5100731953","display_name":"Yanxia Wang","orcid":"https://orcid.org/0000-0001-6045-4643"},"institutions":[{"id":"https://openalex.org/I126924076","display_name":"Chongqing Normal University","ror":"https://ror.org/01dcw5w74","country_code":"CN","type":"education","lineage":["https://openalex.org/I126924076"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Yanxia Wang","raw_affiliation_strings":["College of Computer and Information Science, Chongqing Normal University, Chongqing, China"],"affiliations":[{"raw_affiliation_string":"College of Computer and Information Science, Chongqing Normal University, Chongqing, China","institution_ids":["https://openalex.org/I126924076"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5040675777","display_name":"Renjie Wang","orcid":"https://orcid.org/0009-0005-0669-7878"},"institutions":[{"id":"https://openalex.org/I126924076","display_name":"Chongqing Normal University","ror":"https://ror.org/01dcw5w74","country_code":"CN","type":"education","lineage":["https://openalex.org/I126924076"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Renjie Wang","raw_affiliation_strings":["College of Computer and Information Science, Chongqing Normal University, Chongqing, China"],"affiliations":[{"raw_affiliation_string":"College of Computer and Information Science, Chongqing Normal University, Chongqing, China","institution_ids":["https://openalex.org/I126924076"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5028187258","display_name":"Hu Shi","orcid":"https://orcid.org/0009-0001-5735-063X"},"institutions":[{"id":"https://openalex.org/I126924076","display_name":"Chongqing Normal University","ror":"https://ror.org/01dcw5w74","country_code":"CN","type":"education","lineage":["https://openalex.org/I126924076"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hu Shi","raw_affiliation_strings":["College of Computer and Information Science, Chongqing Normal University, Chongqing, China"],"affiliations":[{"raw_affiliation_string":"College of Computer and Information Science, Chongqing Normal University, Chongqing, China","institution_ids":["https://openalex.org/I126924076"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5100731953"],"corresponding_institution_ids":["https://openalex.org/I126924076"],"apc_list":{"value":1850,"currency":"USD","value_usd":1850},"apc_paid":{"value":1850,"currency":"USD","value_usd":1850},"fwci":0.6018,"has_fulltext":true,"cited_by_count":5,"citation_normalized_percentile":{"value":0.69939324,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":96,"max":99},"biblio":{"volume":"11","issue":null,"first_page":"120628","last_page":"120641"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10812","display_name":"Human Pose and Action Recognition","score":0.9993000030517578,"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/T10812","display_name":"Human Pose and Action Recognition","score":0.9993000030517578,"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/T11398","display_name":"Hand Gesture Recognition Systems","score":0.9932000041007996,"subfield":{"id":"https://openalex.org/subfields/1709","display_name":"Human-Computer Interaction"},"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/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.9904000163078308,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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":0.8172779083251953},{"id":"https://openalex.org/keywords/pose","display_name":"Pose","score":0.7038177251815796},{"id":"https://openalex.org/keywords/inference","display_name":"Inference","score":0.6629641652107239},{"id":"https://openalex.org/keywords/block","display_name":"Block (permutation group theory)","score":0.6592766046524048},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5553674101829529},{"id":"https://openalex.org/keywords/position","display_name":"Position (finance)","score":0.551561713218689},{"id":"https://openalex.org/keywords/computational-complexity-theory","display_name":"Computational complexity theory","score":0.5097000598907471},{"id":"https://openalex.org/keywords/resolution","display_name":"Resolution (logic)","score":0.47903743386268616},{"id":"https://openalex.org/keywords/high-resolution","display_name":"High resolution","score":0.4775070548057556},{"id":"https://openalex.org/keywords/network-model","display_name":"Network model","score":0.4746323823928833},{"id":"https://openalex.org/keywords/backbone-network","display_name":"Backbone network","score":0.46643948554992676},{"id":"https://openalex.org/keywords/dual","display_name":"Dual (grammatical number)","score":0.43135541677474976},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.4216071665287018},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.4196597933769226},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.4073994755744934},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.38067173957824707},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.2854408025741577},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.08929455280303955}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8172779083251953},{"id":"https://openalex.org/C52102323","wikidata":"https://www.wikidata.org/wiki/Q1671968","display_name":"Pose","level":2,"score":0.7038177251815796},{"id":"https://openalex.org/C2776214188","wikidata":"https://www.wikidata.org/wiki/Q408386","display_name":"Inference","level":2,"score":0.6629641652107239},{"id":"https://openalex.org/C2777210771","wikidata":"https://www.wikidata.org/wiki/Q4927124","display_name":"Block (permutation group theory)","level":2,"score":0.6592766046524048},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5553674101829529},{"id":"https://openalex.org/C198082294","wikidata":"https://www.wikidata.org/wiki/Q3399648","display_name":"Position (finance)","level":2,"score":0.551561713218689},{"id":"https://openalex.org/C179799912","wikidata":"https://www.wikidata.org/wiki/Q205084","display_name":"Computational complexity theory","level":2,"score":0.5097000598907471},{"id":"https://openalex.org/C138268822","wikidata":"https://www.wikidata.org/wiki/Q1051925","display_name":"Resolution (logic)","level":2,"score":0.47903743386268616},{"id":"https://openalex.org/C3020199158","wikidata":"https://www.wikidata.org/wiki/Q210521","display_name":"High resolution","level":2,"score":0.4775070548057556},{"id":"https://openalex.org/C104122410","wikidata":"https://www.wikidata.org/wiki/Q1416406","display_name":"Network model","level":2,"score":0.4746323823928833},{"id":"https://openalex.org/C88796919","wikidata":"https://www.wikidata.org/wiki/Q1142907","display_name":"Backbone network","level":2,"score":0.46643948554992676},{"id":"https://openalex.org/C2780980858","wikidata":"https://www.wikidata.org/wiki/Q110022","display_name":"Dual (grammatical number)","level":2,"score":0.43135541677474976},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.4216071665287018},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.4196597933769226},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.4073994755744934},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.38067173957824707},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.2854408025741577},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.08929455280303955},{"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/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C187736073","wikidata":"https://www.wikidata.org/wiki/Q2920921","display_name":"Management","level":1,"score":0.0},{"id":"https://openalex.org/C124952713","wikidata":"https://www.wikidata.org/wiki/Q8242","display_name":"Literature","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/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"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/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.0},{"id":"https://openalex.org/C10138342","wikidata":"https://www.wikidata.org/wiki/Q43015","display_name":"Finance","level":1,"score":0.0},{"id":"https://openalex.org/C142362112","wikidata":"https://www.wikidata.org/wiki/Q735","display_name":"Art","level":0,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/access.2023.3328221","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2023.3328221","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/6514899/10298218.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:064a2a4147854c63953cd8b0c9fd2978","is_oa":true,"landing_page_url":"https://doaj.org/article/064a2a4147854c63953cd8b0c9fd2978","pdf_url":null,"source":{"id":"https://openalex.org/S112646816","display_name":"SHILAP Revista de lepidopterolog\u00eda","issn_l":"0300-5267","issn":["0300-5267","2340-4078"],"is_oa":true,"is_in_doaj":true,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"IEEE Access, Vol 11, Pp 120628-120641 (2023)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1109/access.2023.3328221","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2023.3328221","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/6514899/10298218.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4387986960.pdf","grobid_xml":"https://content.openalex.org/works/W4387986960.grobid-xml"},"referenced_works_count":58,"referenced_works":["https://openalex.org/W1522734439","https://openalex.org/W1585462596","https://openalex.org/W1665214252","https://openalex.org/W1686810756","https://openalex.org/W1836465849","https://openalex.org/W1861492603","https://openalex.org/W1903029394","https://openalex.org/W2080873731","https://openalex.org/W2097117768","https://openalex.org/W2123045220","https://openalex.org/W2194775991","https://openalex.org/W2279098554","https://openalex.org/W2307770531","https://openalex.org/W2557414982","https://openalex.org/W2559085405","https://openalex.org/W2561238782","https://openalex.org/W2565639579","https://openalex.org/W2752782242","https://openalex.org/W2768282280","https://openalex.org/W2883780447","https://openalex.org/W2884585870","https://openalex.org/W2916798096","https://openalex.org/W2955425717","https://openalex.org/W2963125010","https://openalex.org/W2963163009","https://openalex.org/W2963881378","https://openalex.org/W2982083293","https://openalex.org/W2991089415","https://openalex.org/W3014641072","https://openalex.org/W3034399482","https://openalex.org/W3035414587","https://openalex.org/W3113950706","https://openalex.org/W3138516171","https://openalex.org/W3145444543","https://openalex.org/W3171398643","https://openalex.org/W3177052299","https://openalex.org/W3206810688","https://openalex.org/W4229073080","https://openalex.org/W4285601475","https://openalex.org/W4297775537","https://openalex.org/W4312443924","https://openalex.org/W6637242042","https://openalex.org/W6637373629","https://openalex.org/W6638667902","https://openalex.org/W6639102338","https://openalex.org/W6677995690","https://openalex.org/W6695314431","https://openalex.org/W6730277886","https://openalex.org/W6737664043","https://openalex.org/W6746052068","https://openalex.org/W6753412334","https://openalex.org/W6753767121","https://openalex.org/W6762718338","https://openalex.org/W6771062828","https://openalex.org/W6793164127","https://openalex.org/W6802010497","https://openalex.org/W6803483150","https://openalex.org/W6842607031"],"related_works":["https://openalex.org/W2123263858","https://openalex.org/W3127959533","https://openalex.org/W2001271057","https://openalex.org/W2522537526","https://openalex.org/W2894986065","https://openalex.org/W4212864239","https://openalex.org/W4387967917","https://openalex.org/W4287600488","https://openalex.org/W2998228095","https://openalex.org/W2791535170"],"abstract_inverted_index":{"High-resolution":[0,64],"networks":[1,38],"have":[2,39],"demonstrated":[3],"significant":[4],"advantages":[5],"in":[6,51,183,204],"multi-scale":[7],"feature":[8],"extraction":[9],"for":[10,72],"human":[11,73,155,166],"pose":[12,74,156,167],"estimation":[13,157,168],"task.However,":[14],"this":[15,59],"often":[16],"leads":[17],"to":[18,104,109,126,137,191],"the":[19,31,87,106,115,128,134,138,142,151,174,187,192],"problems":[20],"of":[21,90,118,144],"large":[22],"network":[23,65,82,176,196],"parameter":[24,42],"quantity":[25,43],"and":[26,44,132,153],"high":[27],"computational":[28,45],"complexity.":[29],"On":[30],"other":[32],"hand,":[33],"some":[34],"existing":[35,164],"lightweight":[36,63,165,194],"high-resolution":[37,195],"lower":[40],"model":[41,177,205],"complexity,":[46],"but":[47],"they":[48],"lack":[49],"accuracy":[50,185],"handling":[52],"keypoint":[53],"position":[54],"information.To":[55],"address":[56],"these":[57],"issues,":[58],"study":[60],"proposes":[61],"a":[62,79,95,122,179,201],"called":[66,99],"DB-HRNet":[67,160],"(Dual":[68,101],"Branch":[69,102],"High-Resolution":[70],"Network)":[71],"estimation.Specifically.":[75],"based":[76],"on":[77,150,186],"HRNet,":[78],"more":[80],"efficient":[81],"framework":[83,89],"is":[84],"designed":[85],"as":[86,114],"backbone":[88],"DB-HRNet.":[91],"Additionally,":[92],"we":[93,120,146],"propose":[94,121],"position-sensitive":[96],"basic":[97,116],"module":[98],"DBBlock":[100],"Block)":[103],"enhance":[105],"model\u2019s":[107,139],"ability":[108],"capture":[110],"positional":[111],"information":[112],"accurately,":[113],"block":[117],"DB-HRNet.Finally,":[119],"Pose":[123],"Refine":[124],"Module":[125],"establish":[127],"connections":[129],"between":[130],"keypoints":[131],"make":[133],"final":[135],"adjustments":[136],"output.To":[140],"validate":[141],"effectiveness":[143],"DB-HRNet,":[145],"conduct":[147],"experimental":[148],"studies":[149],"COCO2017":[152,188],"MPII":[154],"datasets,":[158],"comparing":[159],"with":[161],"several":[162],"advanced":[163,193],"models.":[169],"The":[170],"results":[171],"demonstrate":[172],"that":[173],"proposed":[175],"achieves":[178],"1.8":[180],"points":[181],"improvement":[182],"detection":[184],"dataset":[189],"compared":[190],"Dite-HRNet,":[197],"while":[198],"also":[199],"achieving":[200],"38%":[202],"increase":[203],"inference":[206],"speed.":[207]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":3}],"updated_date":"2026-03-27T05:58:40.876381","created_date":"2025-10-10T00:00:00"}
