{"id":"https://openalex.org/W3014641072","doi":"https://doi.org/10.1109/tpami.2020.2983686","title":"Deep High-Resolution Representation Learning for Visual Recognition","display_name":"Deep High-Resolution Representation Learning for Visual Recognition","publication_year":2020,"publication_date":"2020-04-01","ids":{"openalex":"https://openalex.org/W3014641072","doi":"https://doi.org/10.1109/tpami.2020.2983686","mag":"3014641072","pmid":"https://pubmed.ncbi.nlm.nih.gov/32248092"},"language":"en","primary_location":{"id":"doi:10.1109/tpami.2020.2983686","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tpami.2020.2983686","pdf_url":null,"source":{"id":"https://openalex.org/S199944782","display_name":"IEEE Transactions on Pattern Analysis and Machine Intelligence","issn_l":"0162-8828","issn":["0162-8828","1939-3539","2160-9292"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320439","host_organization_name":"IEEE Computer Society","host_organization_lineage":["https://openalex.org/P4310320439","https://openalex.org/P4310319808"],"host_organization_lineage_names":["IEEE Computer Society","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 Transactions on Pattern Analysis and Machine Intelligence","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","pubmed"],"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/A5075880303","display_name":"Jingdong Wang","orcid":"https://orcid.org/0000-0002-4888-4445"},"institutions":[{"id":"https://openalex.org/I4210113369","display_name":"Microsoft Research Asia (China)","ror":"https://ror.org/0300m5276","country_code":"CN","type":"company","lineage":["https://openalex.org/I1290206253","https://openalex.org/I4210113369"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jingdong Wang","raw_affiliation_strings":["Microsoft Research, Beijing, P.R. China"],"raw_orcid":"https://orcid.org/0000-0002-4888-4445","affiliations":[{"raw_affiliation_string":"Microsoft Research, Beijing, P.R. China","institution_ids":["https://openalex.org/I4210113369"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101919615","display_name":"Ke Sun","orcid":"https://orcid.org/0000-0002-6742-3484"},"institutions":[{"id":"https://openalex.org/I126520041","display_name":"University of Science and Technology of China","ror":"https://ror.org/04c4dkn09","country_code":"CN","type":"education","lineage":["https://openalex.org/I126520041","https://openalex.org/I19820366"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ke Sun","raw_affiliation_strings":["University of Science and Technology of China, Hefei, Anhui, China"],"raw_orcid":"https://orcid.org/0000-0002-6742-3484","affiliations":[{"raw_affiliation_string":"University of Science and Technology of China, Hefei, Anhui, China","institution_ids":["https://openalex.org/I126520041"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5022657064","display_name":"Tianheng Cheng","orcid":"https://orcid.org/0009-0003-4100-1659"},"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":"Tianheng Cheng","raw_affiliation_strings":["Huazhong University of Science and Technology, Wuhan, Hubei, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Huazhong University of Science and Technology, Wuhan, Hubei, China","institution_ids":["https://openalex.org/I47720641"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5022898952","display_name":"Borui Jiang","orcid":"https://orcid.org/0009-0008-8666-7178"},"institutions":[{"id":"https://openalex.org/I20231570","display_name":"Peking University","ror":"https://ror.org/02v51f717","country_code":"CN","type":"education","lineage":["https://openalex.org/I20231570"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Borui Jiang","raw_affiliation_strings":["Peking University, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Peking University, Beijing, China","institution_ids":["https://openalex.org/I20231570"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5027344351","display_name":"Chaorui Deng","orcid":"https://orcid.org/0000-0002-8587-9047"},"institutions":[{"id":"https://openalex.org/I90610280","display_name":"South China University of Technology","ror":"https://ror.org/0530pts50","country_code":"CN","type":"education","lineage":["https://openalex.org/I90610280"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chaorui Deng","raw_affiliation_strings":["South China University of Technology, Guangzhou, Guangdong, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"South China University of Technology, Guangzhou, Guangdong, China","institution_ids":["https://openalex.org/I90610280"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5056718303","display_name":"Yang Zhao","orcid":"https://orcid.org/0000-0002-7302-7787"},"institutions":[{"id":"https://openalex.org/I11701301","display_name":"Griffith University","ror":"https://ror.org/02sc3r913","country_code":"AU","type":"education","lineage":["https://openalex.org/I11701301"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Yang Zhao","raw_affiliation_strings":["Griffith University, Nathan, Qld, Australia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Griffith University, Nathan, Qld, Australia","institution_ids":["https://openalex.org/I11701301"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100407381","display_name":"Dong Liu","orcid":"https://orcid.org/0000-0001-9100-2906"},"institutions":[{"id":"https://openalex.org/I126520041","display_name":"University of Science and Technology of China","ror":"https://ror.org/04c4dkn09","country_code":"CN","type":"education","lineage":["https://openalex.org/I126520041","https://openalex.org/I19820366"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Dong Liu","raw_affiliation_strings":["University of Science and Technology of China, Hefei, Anhui, China"],"raw_orcid":"https://orcid.org/0000-0001-9100-2906","affiliations":[{"raw_affiliation_string":"University of Science and Technology of China, Hefei, Anhui, China","institution_ids":["https://openalex.org/I126520041"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5028877572","display_name":"Yadong Mu","orcid":"https://orcid.org/0000-0001-7815-3750"},"institutions":[{"id":"https://openalex.org/I20231570","display_name":"Peking University","ror":"https://ror.org/02v51f717","country_code":"CN","type":"education","lineage":["https://openalex.org/I20231570"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yadong Mu","raw_affiliation_strings":["Peking University, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0001-7815-3750","affiliations":[{"raw_affiliation_string":"Peking University, Beijing, China","institution_ids":["https://openalex.org/I20231570"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5032352025","display_name":"Mingkui Tan","orcid":"https://orcid.org/0000-0001-8856-756X"},"institutions":[{"id":"https://openalex.org/I90610280","display_name":"South China University of Technology","ror":"https://ror.org/0530pts50","country_code":"CN","type":"education","lineage":["https://openalex.org/I90610280"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Mingkui Tan","raw_affiliation_strings":["South China University of Technology, Guangzhou, Guangdong, China"],"raw_orcid":"https://orcid.org/0000-0001-8856-756X","affiliations":[{"raw_affiliation_string":"South China University of Technology, Guangzhou, Guangdong, China","institution_ids":["https://openalex.org/I90610280"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5037191476","display_name":"Xinggang Wang","orcid":"https://orcid.org/0000-0001-6732-7823"},"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":"Xinggang Wang","raw_affiliation_strings":["Huazhong University of Science and Technology, Wuhan, Hubei, China"],"raw_orcid":"https://orcid.org/0000-0001-6732-7823","affiliations":[{"raw_affiliation_string":"Huazhong University of Science and Technology, Wuhan, Hubei, China","institution_ids":["https://openalex.org/I47720641"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100665053","display_name":"Wenyu Liu","orcid":"https://orcid.org/0000-0002-4582-7488"},"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":"Wenyu Liu","raw_affiliation_strings":["Huazhong University of Science and Technology, Wuhan, Hubei, China"],"raw_orcid":"https://orcid.org/0000-0002-4582-7488","affiliations":[{"raw_affiliation_string":"Huazhong University of Science and Technology, Wuhan, Hubei, China","institution_ids":["https://openalex.org/I47720641"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5103218891","display_name":"Bin Xiao","orcid":"https://orcid.org/0000-0001-6477-5911"},"institutions":[{"id":"https://openalex.org/I1290206253","display_name":"Microsoft (United States)","ror":"https://ror.org/00d0nc645","country_code":"US","type":"company","lineage":["https://openalex.org/I1290206253"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Bin Xiao","raw_affiliation_strings":["Microsoft, Redmond, WA, USA"],"raw_orcid":"https://orcid.org/0000-0001-6477-5911","affiliations":[{"raw_affiliation_string":"Microsoft, Redmond, WA, USA","institution_ids":["https://openalex.org/I1290206253"]}]}],"institutions":[],"countries_distinct_count":3,"institutions_distinct_count":7,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":208.7662,"has_fulltext":false,"cited_by_count":4608,"citation_normalized_percentile":{"value":0.99994726,"is_in_top_1_percent":true,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":94,"max":100},"biblio":{"volume":"43","issue":"10","first_page":"3349","last_page":"3364"},"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/T10812","display_name":"Human Pose and Action Recognition","score":0.9994999766349792,"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/T11307","display_name":"Domain Adaptation and Few-Shot Learning","score":0.9988999962806702,"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/subnetwork","display_name":"Subnetwork","score":0.8382145166397095},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8331965208053589},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7537789940834045},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.6371170282363892},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.6099287867546082},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5568373203277588},{"id":"https://openalex.org/keywords/encode","display_name":"ENCODE","score":0.5544876456260681},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5243097543716431},{"id":"https://openalex.org/keywords/pose","display_name":"Pose","score":0.4803122878074646},{"id":"https://openalex.org/keywords/object-detection","display_name":"Object detection","score":0.4722190201282501},{"id":"https://openalex.org/keywords/convolution","display_name":"Convolution (computer science)","score":0.43317461013793945},{"id":"https://openalex.org/keywords/resolution","display_name":"Resolution (logic)","score":0.41823020577430725},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.19456827640533447}],"concepts":[{"id":"https://openalex.org/C2780186347","wikidata":"https://www.wikidata.org/wiki/Q11414","display_name":"Subnetwork","level":2,"score":0.8382145166397095},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8331965208053589},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7537789940834045},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.6371170282363892},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.6099287867546082},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5568373203277588},{"id":"https://openalex.org/C66746571","wikidata":"https://www.wikidata.org/wiki/Q1134833","display_name":"ENCODE","level":3,"score":0.5544876456260681},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5243097543716431},{"id":"https://openalex.org/C52102323","wikidata":"https://www.wikidata.org/wiki/Q1671968","display_name":"Pose","level":2,"score":0.4803122878074646},{"id":"https://openalex.org/C2776151529","wikidata":"https://www.wikidata.org/wiki/Q3045304","display_name":"Object detection","level":3,"score":0.4722190201282501},{"id":"https://openalex.org/C45347329","wikidata":"https://www.wikidata.org/wiki/Q5166604","display_name":"Convolution (computer science)","level":3,"score":0.43317461013793945},{"id":"https://openalex.org/C138268822","wikidata":"https://www.wikidata.org/wiki/Q1051925","display_name":"Resolution (logic)","level":2,"score":0.41823020577430725},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.19456827640533447},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"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},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","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/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1109/tpami.2020.2983686","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tpami.2020.2983686","pdf_url":null,"source":{"id":"https://openalex.org/S199944782","display_name":"IEEE Transactions on Pattern Analysis and Machine Intelligence","issn_l":"0162-8828","issn":["0162-8828","1939-3539","2160-9292"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320439","host_organization_name":"IEEE Computer Society","host_organization_lineage":["https://openalex.org/P4310320439","https://openalex.org/P4310319808"],"host_organization_lineage_names":["IEEE Computer Society","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 Transactions on Pattern Analysis and Machine Intelligence","raw_type":"journal-article"},{"id":"pmid:32248092","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/32248092","pdf_url":null,"source":{"id":"https://openalex.org/S4306525036","display_name":"PubMed","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE transactions on pattern analysis and machine intelligence","raw_type":null},{"id":"pmh:oai:research-repository.griffith.edu.au:10072/400575","is_oa":false,"landing_page_url":"http://hdl.handle.net/10072/400575","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Journal article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":210,"referenced_works":["https://openalex.org/W252252322","https://openalex.org/W639708223","https://openalex.org/W845365781","https://openalex.org/W1495267108","https://openalex.org/W1522301498","https://openalex.org/W1686810756","https://openalex.org/W1745334888","https://openalex.org/W1800922288","https://openalex.org/W1861492603","https://openalex.org/W1901129140","https://openalex.org/W1903029394","https://openalex.org/W1923697677","https://openalex.org/W1936750108","https://openalex.org/W2097117768","https://openalex.org/W2112796928","https://openalex.org/W2125215748","https://openalex.org/W2163605009","https://openalex.org/W2175012183","https://openalex.org/W2194775991","https://openalex.org/W2295744361","https://openalex.org/W2307770531","https://openalex.org/W2330914857","https://openalex.org/W2340897893","https://openalex.org/W2382036597","https://openalex.org/W2395611524","https://openalex.org/W2406474429","https://openalex.org/W2412782625","https://openalex.org/W2418011751","https://openalex.org/W2490270993","https://openalex.org/W2508741746","https://openalex.org/W2518965973","https://openalex.org/W2549139847","https://openalex.org/W2555751471","https://openalex.org/W2557406251","https://openalex.org/W2558580397","https://openalex.org/W2559085405","https://openalex.org/W2560023338","https://openalex.org/W2563705555","https://openalex.org/W2565639579","https://openalex.org/W2578797046","https://openalex.org/W2592939477","https://openalex.org/W2598097916","https://openalex.org/W2598666589","https://openalex.org/W2598915960","https://openalex.org/W2604414494","https://openalex.org/W2604967609","https://openalex.org/W2606492274","https://openalex.org/W2630837129","https://openalex.org/W2736372003","https://openalex.org/W2736728583","https://openalex.org/W2736981815","https://openalex.org/W2737682710","https://openalex.org/W2738804062","https://openalex.org/W2742737904","https://openalex.org/W2753588254","https://openalex.org/W2768477045","https://openalex.org/W2768489488","https://openalex.org/W2776685160","https://openalex.org/W2778955544","https://openalex.org/W2780664485","https://openalex.org/W2789006728","https://openalex.org/W2798355657","https://openalex.org/W2798441115","https://openalex.org/W2798791840","https://openalex.org/W2799166040","https://openalex.org/W2819476901","https://openalex.org/W2883779225","https://openalex.org/W2884436604","https://openalex.org/W2884822772","https://openalex.org/W2886335102","https://openalex.org/W2886934227","https://openalex.org/W2887748972","https://openalex.org/W2888340395","https://openalex.org/W2888728082","https://openalex.org/W2889332130","https://openalex.org/W2890782586","https://openalex.org/W2891824271","https://openalex.org/W2892703603","https://openalex.org/W2894651257","https://openalex.org/W2894878591","https://openalex.org/W2894913190","https://openalex.org/W2895340641","https://openalex.org/W2895403383","https://openalex.org/W2897558462","https://openalex.org/W2899607431","https://openalex.org/W2902820206","https://openalex.org/W2916798096","https://openalex.org/W2940262938","https://openalex.org/W2941866597","https://openalex.org/W2948080074","https://openalex.org/W2949457696","https://openalex.org/W2949662773","https://openalex.org/W2950141105","https://openalex.org/W2951392520","https://openalex.org/W2952819818","https://openalex.org/W2955058313","https://openalex.org/W2955813853","https://openalex.org/W2962773068","https://openalex.org/W2962802951","https://openalex.org/W2962819150","https://openalex.org/W2962835968","https://openalex.org/W2962850830","https://openalex.org/W2962891704","https://openalex.org/W2963016543","https://openalex.org/W2963019093","https://openalex.org/W2963068995","https://openalex.org/W2963136578","https://openalex.org/W2963150001","https://openalex.org/W2963150697","https://openalex.org/W2963197583","https://openalex.org/W2963216524","https://openalex.org/W2963318290","https://openalex.org/W2963351448","https://openalex.org/W2963381188","https://openalex.org/W2963402313","https://openalex.org/W2963402592","https://openalex.org/W2963446712","https://openalex.org/W2963542991","https://openalex.org/W2963544187","https://openalex.org/W2963544488","https://openalex.org/W2963563573","https://openalex.org/W2963598138","https://openalex.org/W2963604034","https://openalex.org/W2963669916","https://openalex.org/W2963674086","https://openalex.org/W2963716477","https://openalex.org/W2963727650","https://openalex.org/W2963728677","https://openalex.org/W2963741402","https://openalex.org/W2963753570","https://openalex.org/W2963781481","https://openalex.org/W2963786238","https://openalex.org/W2963789946","https://openalex.org/W2963815618","https://openalex.org/W2963849369","https://openalex.org/W2963857746","https://openalex.org/W2963881378","https://openalex.org/W2963978393","https://openalex.org/W2964010755","https://openalex.org/W2964080601","https://openalex.org/W2964081403","https://openalex.org/W2964105113","https://openalex.org/W2964121744","https://openalex.org/W2964169985","https://openalex.org/W2964221239","https://openalex.org/W2964241181","https://openalex.org/W2964252655","https://openalex.org/W2964258058","https://openalex.org/W2964309882","https://openalex.org/W2964342346","https://openalex.org/W2965391153","https://openalex.org/W2965853874","https://openalex.org/W2967233860","https://openalex.org/W2967997213","https://openalex.org/W2970129702","https://openalex.org/W2981408470","https://openalex.org/W2981689412","https://openalex.org/W2981899103","https://openalex.org/W2982770724","https://openalex.org/W2989604896","https://openalex.org/W2989676862","https://openalex.org/W2991391304","https://openalex.org/W2995484963","https://openalex.org/W2997225633","https://openalex.org/W3012573144","https://openalex.org/W3034355852","https://openalex.org/W3100903158","https://openalex.org/W3102288316","https://openalex.org/W3104792420","https://openalex.org/W3109301572","https://openalex.org/W4288277460","https://openalex.org/W4288325606","https://openalex.org/W4288335118","https://openalex.org/W6609555574","https://openalex.org/W6629368666","https://openalex.org/W6631190155","https://openalex.org/W6637373629","https://openalex.org/W6638238755","https://openalex.org/W6639824700","https://openalex.org/W6640295612","https://openalex.org/W6684191040","https://openalex.org/W6709775842","https://openalex.org/W6713596413","https://openalex.org/W6716843620","https://openalex.org/W6722946945","https://openalex.org/W6730410022","https://openalex.org/W6735260822","https://openalex.org/W6739696289","https://openalex.org/W6746123559","https://openalex.org/W6748481559","https://openalex.org/W6749076073","https://openalex.org/W6751325469","https://openalex.org/W6751733626","https://openalex.org/W6751763797","https://openalex.org/W6753494528","https://openalex.org/W6753997096","https://openalex.org/W6754879843","https://openalex.org/W6754890065","https://openalex.org/W6754951873","https://openalex.org/W6755284672","https://openalex.org/W6761630670","https://openalex.org/W6761906409","https://openalex.org/W6763478003","https://openalex.org/W6764322716","https://openalex.org/W6766682186","https://openalex.org/W6766844300","https://openalex.org/W6767362842","https://openalex.org/W6768371451","https://openalex.org/W6770934076","https://openalex.org/W6966618176"],"related_works":["https://openalex.org/W2736638679","https://openalex.org/W4306804934","https://openalex.org/W4313046826","https://openalex.org/W1968716783","https://openalex.org/W1988485990","https://openalex.org/W2613186388","https://openalex.org/W2187221949","https://openalex.org/W2095764740","https://openalex.org/W2515769376","https://openalex.org/W1927206479"],"abstract_inverted_index":{"High-resolution":[0],"representations":[1,68],"are":[2,74,147],"essential":[3],"for":[4,140],"position-sensitive":[5],"vision":[6,142],"problems,":[7],"such":[8],"as":[9,26,62],"human":[10,124],"pose":[11,125],"estimation,":[12,126],"semantic":[13,127],"segmentation,":[14,128],"and":[15,46,87,105,129],"object":[16,130],"detection.":[17],"Existing":[18],"state-of-the-art":[19],"frameworks":[20],"first":[21],"encode":[22],"the":[23,49,53,70,80,91,99,111,114,134,145],"input":[24],"image":[25],"a":[27,31,118,137],"low-resolution":[28,55],"representation":[29,51,101],"through":[30,69],"subnetwork":[32],"that":[33,98,133],"is":[34,97,102,136],"formed":[35],"by":[36],"connecting":[37],"high-to-low":[38,81],"resolution":[39,82],"convolutions":[40],"in":[41,85,117],"series":[42],"(e.g.,":[43],"ResNet,":[44],"VGGNet),":[45],"then":[47],"recover":[48],"high-resolution":[50,67],"from":[52],"encoded":[54],"representation.":[56],"Instead,":[57],"our":[58],"proposed":[59,115],"network,":[60],"named":[61],"High-Resolution":[63],"Network":[64],"(HRNet),":[65],"maintains":[66],"whole":[71],"process.":[72],"There":[73],"two":[75],"key":[76],"characteristics:":[77],"(i)":[78],"Connect":[79],"convolution":[83],"streams":[84],"parallel":[86],"(ii)":[88],"repeatedly":[89],"exchange":[90],"information":[92],"across":[93],"resolutions.":[94],"The":[95],"benefit":[96],"resulting":[100],"semantically":[103],"richer":[104],"spatially":[106],"more":[107],"precise.":[108],"We":[109],"show":[110],"superiority":[112],"of":[113,121],"HRNet":[116,135],"wide":[119],"range":[120],"applications,":[122],"including":[123],"detection,":[131],"suggesting":[132],"stronger":[138],"backbone":[139],"computer":[141],"problems.":[143],"All":[144],"codes":[146],"available":[148],"at":[149],"https://github.com/HRNet.":[150]},"counts_by_year":[{"year":2026,"cited_by_count":410},{"year":2025,"cited_by_count":963},{"year":2024,"cited_by_count":1062},{"year":2023,"cited_by_count":923},{"year":2022,"cited_by_count":667},{"year":2021,"cited_by_count":476},{"year":2020,"cited_by_count":105},{"year":2019,"cited_by_count":2}],"updated_date":"2026-07-21T08:15:58.654021","created_date":"2025-10-10T00:00:00"}
