{"id":"https://openalex.org/W4291014824","doi":"https://doi.org/10.3390/rs14163864","title":"DNAS: Decoupling Neural Architecture Search for High-Resolution Remote Sensing Image Semantic Segmentation","display_name":"DNAS: Decoupling Neural Architecture Search for High-Resolution Remote Sensing Image Semantic Segmentation","publication_year":2022,"publication_date":"2022-08-09","ids":{"openalex":"https://openalex.org/W4291014824","doi":"https://doi.org/10.3390/rs14163864"},"language":"en","primary_location":{"id":"doi:10.3390/rs14163864","is_oa":true,"landing_page_url":"https://doi.org/10.3390/rs14163864","pdf_url":"https://www.mdpi.com/2072-4292/14/16/3864/pdf?version=1660122375","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/2072-4292/14/16/3864/pdf?version=1660122375","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5115602709","display_name":"Yu Wang","orcid":"https://orcid.org/0000-0001-6351-6467"},"institutions":[{"id":"https://openalex.org/I37461747","display_name":"Wuhan University","ror":"https://ror.org/033vjfk17","country_code":"CN","type":"education","lineage":["https://openalex.org/I37461747"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yu Wang","raw_affiliation_strings":["School of Remote Sensing and Information Engineering, Wuhan University, Wuhan 430079, China"],"affiliations":[{"raw_affiliation_string":"School of Remote Sensing and Information Engineering, Wuhan University, Wuhan 430079, China","institution_ids":["https://openalex.org/I37461747"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100606147","display_name":"Yansheng Li","orcid":"https://orcid.org/0000-0001-8203-1246"},"institutions":[{"id":"https://openalex.org/I37461747","display_name":"Wuhan University","ror":"https://ror.org/033vjfk17","country_code":"CN","type":"education","lineage":["https://openalex.org/I37461747"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Yansheng Li","raw_affiliation_strings":["School of Remote Sensing and Information Engineering, Wuhan University, Wuhan 430079, China"],"affiliations":[{"raw_affiliation_string":"School of Remote Sensing and Information Engineering, Wuhan University, Wuhan 430079, China","institution_ids":["https://openalex.org/I37461747"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100606147","display_name":"Yansheng Li","orcid":"https://orcid.org/0000-0001-8203-1246"},"institutions":[{"id":"https://openalex.org/I37461747","display_name":"Wuhan University","ror":"https://ror.org/033vjfk17","country_code":"CN","type":"education","lineage":["https://openalex.org/I37461747"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yansheng Li","raw_affiliation_strings":["School of Remote Sensing and Information Engineering, Wuhan University, Wuhan 430079, China"],"affiliations":[{"raw_affiliation_string":"School of Remote Sensing and Information Engineering, Wuhan University, Wuhan 430079, China","institution_ids":["https://openalex.org/I37461747"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Wei Chen","orcid":"https://orcid.org/0000-0001-9937-4122"},"institutions":[{"id":"https://openalex.org/I37461747","display_name":"Wuhan University","ror":"https://ror.org/033vjfk17","country_code":"CN","type":"education","lineage":["https://openalex.org/I37461747"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wei Chen","raw_affiliation_strings":["School of Remote Sensing and Information Engineering, Wuhan University, Wuhan 430079, China"],"affiliations":[{"raw_affiliation_string":"School of Remote Sensing and Information Engineering, Wuhan University, Wuhan 430079, China","institution_ids":["https://openalex.org/I37461747"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5059790246","display_name":"Yunzhou Li","orcid":"https://orcid.org/0000-0002-0976-5582"},"institutions":[{"id":"https://openalex.org/I37461747","display_name":"Wuhan University","ror":"https://ror.org/033vjfk17","country_code":"CN","type":"education","lineage":["https://openalex.org/I37461747"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yunzhou Li","raw_affiliation_strings":["School of Remote Sensing and Information Engineering, Wuhan University, Wuhan 430079, China"],"affiliations":[{"raw_affiliation_string":"School of Remote Sensing and Information Engineering, Wuhan University, Wuhan 430079, China","institution_ids":["https://openalex.org/I37461747"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5059790246","display_name":"Yunzhou Li","orcid":"https://orcid.org/0000-0002-0976-5582"},"institutions":[{"id":"https://openalex.org/I37461747","display_name":"Wuhan University","ror":"https://ror.org/033vjfk17","country_code":"CN","type":"education","lineage":["https://openalex.org/I37461747"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Yunzhou Li","raw_affiliation_strings":["School of Remote Sensing and Information Engineering, Wuhan University, Wuhan 430079, China"],"affiliations":[{"raw_affiliation_string":"School of Remote Sensing and Information Engineering, Wuhan University, Wuhan 430079, China","institution_ids":["https://openalex.org/I37461747"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5073794913","display_name":"Bo Dang","orcid":"https://orcid.org/0000-0001-8079-029X"},"institutions":[{"id":"https://openalex.org/I37461747","display_name":"Wuhan University","ror":"https://ror.org/033vjfk17","country_code":"CN","type":"education","lineage":["https://openalex.org/I37461747"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Bo Dang","raw_affiliation_strings":["School of Remote Sensing and Information Engineering, Wuhan University, Wuhan 430079, China"],"affiliations":[{"raw_affiliation_string":"School of Remote Sensing and Information Engineering, Wuhan University, Wuhan 430079, China","institution_ids":["https://openalex.org/I37461747"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":7,"corresponding_author_ids":["https://openalex.org/A5059790246","https://openalex.org/A5100606147"],"corresponding_institution_ids":["https://openalex.org/I37461747"],"apc_list":{"value":2500,"currency":"CHF","value_usd":2707},"apc_paid":{"value":2500,"currency":"CHF","value_usd":2707},"fwci":1.3271,"has_fulltext":true,"cited_by_count":17,"citation_normalized_percentile":{"value":0.81584907,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":100},"biblio":{"volume":"14","issue":"16","first_page":"3864","last_page":"3864"},"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":0.9994999766349792,"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"}},"topics":[{"id":"https://openalex.org/T10627","display_name":"Advanced Image and Video Retrieval Techniques","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/T10036","display_name":"Advanced Neural Network Applications","score":0.9987999796867371,"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/T10689","display_name":"Remote-Sensing Image Classification","score":0.9983999729156494,"subfield":{"id":"https://openalex.org/subfields/2214","display_name":"Media Technology"},"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":0.8474829196929932},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.6376944780349731},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6289953589439392},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.5353373289108276},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.49775293469429016},{"id":"https://openalex.org/keywords/pixel","display_name":"Pixel","score":0.4911210238933563},{"id":"https://openalex.org/keywords/decoupling","display_name":"Decoupling (probability)","score":0.43328139185905457},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4327492117881775},{"id":"https://openalex.org/keywords/segmentation-based-object-categorization","display_name":"Segmentation-based object categorization","score":0.41406798362731934},{"id":"https://openalex.org/keywords/scale-space-segmentation","display_name":"Scale-space segmentation","score":0.3779623508453369},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.34119290113449097},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.34001249074935913}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8474829196929932},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.6376944780349731},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6289953589439392},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.5353373289108276},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.49775293469429016},{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.4911210238933563},{"id":"https://openalex.org/C205606062","wikidata":"https://www.wikidata.org/wiki/Q5249645","display_name":"Decoupling (probability)","level":2,"score":0.43328139185905457},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4327492117881775},{"id":"https://openalex.org/C25694479","wikidata":"https://www.wikidata.org/wiki/Q7446278","display_name":"Segmentation-based object categorization","level":5,"score":0.41406798362731934},{"id":"https://openalex.org/C65885262","wikidata":"https://www.wikidata.org/wiki/Q7429708","display_name":"Scale-space segmentation","level":4,"score":0.3779623508453369},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.34119290113449097},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.34001249074935913},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.0},{"id":"https://openalex.org/C133731056","wikidata":"https://www.wikidata.org/wiki/Q4917288","display_name":"Control engineering","level":1,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.3390/rs14163864","is_oa":true,"landing_page_url":"https://doi.org/10.3390/rs14163864","pdf_url":"https://www.mdpi.com/2072-4292/14/16/3864/pdf?version=1660122375","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:625d60018346432c888f385c8f5cc84d","is_oa":true,"landing_page_url":"https://doaj.org/article/625d60018346432c888f385c8f5cc84d","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":"Remote Sensing, Vol 14, Iss 16, p 3864 (2022)","raw_type":"article"},{"id":"pmh:oai:mdpi.com:/2072-4292/14/16/3864/","is_oa":true,"landing_page_url":"https://dx.doi.org/10.3390/rs14163864","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; Volume 14; Issue 16; Pages: 3864","raw_type":"Text"}],"best_oa_location":{"id":"doi:10.3390/rs14163864","is_oa":true,"landing_page_url":"https://doi.org/10.3390/rs14163864","pdf_url":"https://www.mdpi.com/2072-4292/14/16/3864/pdf?version=1660122375","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":[],"awards":[{"id":"https://openalex.org/G1121271761","display_name":null,"funder_award_id":"Program","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G1231421488","display_name":null,"funder_award_id":"under","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G1356514951","display_name":null,"funder_award_id":"41971","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G2087396116","display_name":null,"funder_award_id":"China","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G2376276132","display_name":null,"funder_award_id":"China","funder_id":"https://openalex.org/F4320335787","funder_display_name":"Fundamental Research Funds for the Central Universities"},{"id":"https://openalex.org/G2708589882","display_name":null,"funder_award_id":"41971284","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G3317480652","display_name":null,"funder_award_id":"Science","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G3658866185","display_name":null,"funder_award_id":"42030102","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G4310224551","display_name":null,"funder_award_id":"419712","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G4485438747","display_name":null,"funder_award_id":"ZZJJ202210","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G4849881393","display_name":null,"funder_award_id":"2042022kf1201","funder_id":"https://openalex.org/F4320335787","funder_display_name":"Fundamental Research Funds for the Central Universities"},{"id":"https://openalex.org/G5994120800","display_name":null,"funder_award_id":"Natural","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G8924022256","display_name":null,"funder_award_id":"2042022kf1201","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/F4320335787","display_name":"Fundamental Research Funds for the Central Universities","ror":null}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4291014824.pdf","grobid_xml":"https://content.openalex.org/works/W4291014824.grobid-xml"},"referenced_works_count":48,"referenced_works":["https://openalex.org/W1901129140","https://openalex.org/W1903029394","https://openalex.org/W1984288883","https://openalex.org/W2077509829","https://openalex.org/W2123384846","https://openalex.org/W2142384583","https://openalex.org/W2163605009","https://openalex.org/W2412782625","https://openalex.org/W2560023338","https://openalex.org/W2606006859","https://openalex.org/W2725897987","https://openalex.org/W2785430118","https://openalex.org/W2787614951","https://openalex.org/W2793268137","https://openalex.org/W2804860796","https://openalex.org/W2884436604","https://openalex.org/W2885311373","https://openalex.org/W2885820039","https://openalex.org/W2893801697","https://openalex.org/W2897593716","https://openalex.org/W2946802127","https://openalex.org/W2962746461","https://openalex.org/W2962919941","https://openalex.org/W2963037989","https://openalex.org/W2963136578","https://openalex.org/W2963821229","https://openalex.org/W2964081807","https://openalex.org/W2964309882","https://openalex.org/W2981748264","https://openalex.org/W2991488782","https://openalex.org/W3005632081","https://openalex.org/W3014641072","https://openalex.org/W3021297918","https://openalex.org/W3037215700","https://openalex.org/W3046711384","https://openalex.org/W3086451439","https://openalex.org/W3089661409","https://openalex.org/W3093905312","https://openalex.org/W3096533519","https://openalex.org/W3110908156","https://openalex.org/W3118513496","https://openalex.org/W3167017747","https://openalex.org/W3171398643","https://openalex.org/W4200571910","https://openalex.org/W4214763222","https://openalex.org/W4220680175","https://openalex.org/W6734593296","https://openalex.org/W6753278433"],"related_works":["https://openalex.org/W3144569342","https://openalex.org/W2945274617","https://openalex.org/W2185902295","https://openalex.org/W2103507220","https://openalex.org/W2055202857","https://openalex.org/W4205800335","https://openalex.org/W2371519352","https://openalex.org/W2386644571","https://openalex.org/W2372421320","https://openalex.org/W2901890255"],"abstract_inverted_index":{"Deep":[0],"learning":[1],"methods,":[2,318],"especially":[3],"deep":[4],"convolutional":[5],"neural":[6,48],"networks":[7,321],"(DCNNs),":[8],"have":[9],"been":[10],"widely":[11],"used":[12],"in":[13,64,94,132,146,220],"high-resolution":[14],"remote":[15],"sensing":[16],"image":[17],"(HRSI)":[18],"semantic":[19,73,95,108,164],"segmentation.":[20,165],"In":[21,166],"literature,":[22],"most":[23],"successful":[24],"DCNNs":[25],"are":[26,276],"artificially":[27],"designed":[28],"through":[29],"a":[30,53,99,117,127,150,168,190,212],"large":[31,118],"number":[32],"of":[33,39,67,102,129,208,267],"experiments,":[34],"which":[35,86,121,254],"often":[36,110],"consume":[37],"lots":[38],"time":[40],"and":[41,136,179,242,260,271,293,308,322],"depend":[42],"on":[43,303],"rich":[44],"domain":[45],"knowledge.":[46],"Recently,":[47],"architecture":[49,161],"search":[50,104,170,186,193,204,218,286],"(NAS),":[51],"as":[52],"direction":[54],"for":[55,162],"automatically":[56,157],"designing":[57],"network":[58,160,291],"architectures,":[59],"has":[60],"achieved":[61],"great":[62],"success":[63],"different":[65],"kinds":[66,266],"computer":[68],"vision":[69],"tasks.":[70],"For":[71],"HRSI":[72,107,163],"segmentation,":[74,96],"NAS":[75,124,153,323],"faces":[76],"two":[77],"major":[78],"challenges:":[79],"(1)":[80,211],"The":[81],"task\u2019s":[82],"high":[83],"complexity":[84],"degree,":[85],"is":[87,175,224,244,255,263,280],"caused":[88],"by":[89,257],"the":[90,103,123,133,143,159,198,203,216,221,228,235,248,252,272,284,294,304,316],"pixel-by-pixel":[91],"prediction":[92],"demand":[93],"leads":[97],"to":[98,112,140,156,183,196,226,246],"rapid":[100],"expansion":[101],"space;":[105],"(2)":[106,232],"segmentation":[109],"needs":[111],"exploit":[113],"long-range":[114],"dependency":[115],"(i.e.,":[116,215],"spatial":[119],"context),":[120],"means":[122],"technique":[125],"requires":[126],"lot":[128],"display":[130],"memory":[131,199],"optimization":[134,194,205,295],"process":[135,296],"can":[137,288,297],"be":[138,298],"tough":[139],"converge.":[141],"With":[142],"aforementioned":[144],"considerations":[145],"mind,":[147],"we":[148,188,233],"propose":[149],"new":[151,191],"decoupling":[152,192],"(DNAS)":[154],"framework":[155],"design":[158],"DNAS,":[167],"hierarchical":[169,185],"space":[171,223,287],"with":[172,238,265],"three":[173,209],"levels":[174],"recommended:":[176],"path-level,":[177],"connection-level,":[178],"cell-level.":[180],"To":[181],"adapt":[182],"this":[184],"space,":[187],"devised":[189],"strategy":[195,206],"decrease":[197],"occupation.":[200],"More":[201],"specifically,":[202],"consists":[207],"stages:":[210],"light":[213],"super-net":[214],"specific":[217],"space)":[219],"path-level":[222],"trained":[225,245],"get":[227],"optimal":[229,236,273],"path":[230,237,258],"coding;":[231,250],"endowed":[234],"various":[239,290],"cross-layer":[240],"connections":[241],"it":[243],"obtain":[247],"connection":[249,261],"(3)":[251],"super-net,":[253],"initialized":[256],"coding":[259],"coding,":[262],"populated":[264],"concrete":[268],"cell":[269,274],"operators":[270,275],"finally":[277],"determined.":[278],"It":[279],"worth":[281],"noting":[282],"that":[283,312],"well-designed":[285],"cover":[289],"candidates":[292],"done":[299],"efficiently.":[300],"Extensive":[301],"experiments":[302],"publicly":[305],"open":[306],"GID":[307],"FU":[309],"datasets":[310],"showed":[311],"our":[313],"DNAS":[314],"outperformed":[315],"state-of-the-art":[317],"including":[319],"artificial":[320],"methods.":[324]},"counts_by_year":[{"year":2026,"cited_by_count":4},{"year":2025,"cited_by_count":4},{"year":2024,"cited_by_count":4},{"year":2023,"cited_by_count":4},{"year":2022,"cited_by_count":1}],"updated_date":"2026-04-18T07:56:08.524223","created_date":"2022-08-13T00:00:00"}