{"id":"https://openalex.org/W3111133646","doi":"https://doi.org/10.1109/tpami.2020.3044416","title":"FNA++: Fast Network Adaptation via Parameter Remapping and Architecture Search","display_name":"FNA++: Fast Network Adaptation via Parameter Remapping and Architecture Search","publication_year":2020,"publication_date":"2020-12-14","ids":{"openalex":"https://openalex.org/W3111133646","doi":"https://doi.org/10.1109/tpami.2020.3044416","mag":"3111133646","pmid":"https://pubmed.ncbi.nlm.nih.gov/33315553"},"language":"en","primary_location":{"id":"doi:10.1109/tpami.2020.3044416","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tpami.2020.3044416","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/A5063536578","display_name":"Jiemin Fang","orcid":"https://orcid.org/0000-0002-0322-4582"},"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":true,"raw_author_name":"Jiemin Fang","raw_affiliation_strings":["Institute of Artificial Intelligence and the School of Electronic Information and Communications, Huazhong University of Science and Technology, Wuhan, P.R. China"],"affiliations":[{"raw_affiliation_string":"Institute of Artificial Intelligence and the School of Electronic Information and Communications, Huazhong University of Science and Technology, Wuhan, P.R. China","institution_ids":["https://openalex.org/I47720641"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101879915","display_name":"Yuzhu Sun","orcid":"https://orcid.org/0000-0002-4776-592X"},"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":"Yuzhu Sun","raw_affiliation_strings":["School of Electronic Information and Communications, Huazhong University of Science and Technology, Wuhan, P.R. China"],"affiliations":[{"raw_affiliation_string":"School of Electronic Information and Communications, Huazhong University of Science and Technology, Wuhan, P.R. China","institution_ids":["https://openalex.org/I47720641"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5115603610","display_name":"Qian Zhang","orcid":"https://orcid.org/0000-0001-5975-9781"},"institutions":[{"id":"https://openalex.org/I4401726824","display_name":"Horizon Robotics (China)","ror":"https://ror.org/05cmv6g68","country_code":null,"type":"company","lineage":["https://openalex.org/I4401726824"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qian Zhang","raw_affiliation_strings":["Horizon Robotics, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Horizon Robotics, Beijing, China","institution_ids":["https://openalex.org/I4401726824"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5045523263","display_name":"Kangjian Peng","orcid":null},"institutions":[{"id":"https://openalex.org/I4401726824","display_name":"Horizon Robotics (China)","ror":"https://ror.org/05cmv6g68","country_code":null,"type":"company","lineage":["https://openalex.org/I4401726824"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Kangjian Peng","raw_affiliation_strings":["Horizon Robotics, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Horizon Robotics, Beijing, China","institution_ids":["https://openalex.org/I4401726824"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5016886735","display_name":"Yuan Li","orcid":"https://orcid.org/0000-0001-9507-3007"},"institutions":[{"id":"https://openalex.org/I1291425158","display_name":"Google (United States)","ror":"https://ror.org/00njsd438","country_code":"US","type":"company","lineage":["https://openalex.org/I1291425158","https://openalex.org/I4210128969"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Yuan Li","raw_affiliation_strings":["Google, Mountain View, CA, USA"],"affiliations":[{"raw_affiliation_string":"Google, Mountain View, CA, USA","institution_ids":["https://openalex.org/I1291425158"]}]},{"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":["School of Electronic Information and Communications, Huazhong University of Science and Technology, Wuhan, P.R. China"],"affiliations":[{"raw_affiliation_string":"School of Electronic Information and Communications, Huazhong University of Science and Technology, Wuhan, P.R. China","institution_ids":["https://openalex.org/I47720641"]}]},{"author_position":"last","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":["School of Electronic Information and Communications, Huazhong University of Science and Technology, Wuhan, P.R. China"],"affiliations":[{"raw_affiliation_string":"School of Electronic Information and Communications, Huazhong University of Science and Technology, Wuhan, P.R. China","institution_ids":["https://openalex.org/I47720641"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":7,"corresponding_author_ids":["https://openalex.org/A5063536578"],"corresponding_institution_ids":["https://openalex.org/I47720641"],"apc_list":null,"apc_paid":null,"fwci":2.5402,"has_fulltext":false,"cited_by_count":38,"citation_normalized_percentile":{"value":0.91426363,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":94,"max":100},"biblio":{"volume":"43","issue":"9","first_page":"2990","last_page":"3004"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10036","display_name":"Advanced Neural Network Applications","score":1.0,"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":1.0,"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/T11689","display_name":"Adversarial Robustness in Machine Learning","score":0.998199999332428,"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"}},{"id":"https://openalex.org/T11307","display_name":"Domain Adaptation and Few-Shot Learning","score":0.9976000189781189,"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":0.8488187789916992},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7104992270469666},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.7043027877807617},{"id":"https://openalex.org/keywords/object-detection","display_name":"Object detection","score":0.6636931896209717},{"id":"https://openalex.org/keywords/network-architecture","display_name":"Network architecture","score":0.5820654034614563},{"id":"https://openalex.org/keywords/adaptation","display_name":"Adaptation (eye)","score":0.5323767066001892},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.5122334361076355},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.47836750745773315},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4565025269985199},{"id":"https://openalex.org/keywords/kernel","display_name":"Kernel (algebra)","score":0.4547845125198364},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.44314736127853394},{"id":"https://openalex.org/keywords/generalization","display_name":"Generalization","score":0.44210389256477356},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.43485406041145325}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8488187789916992},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7104992270469666},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.7043027877807617},{"id":"https://openalex.org/C2776151529","wikidata":"https://www.wikidata.org/wiki/Q3045304","display_name":"Object detection","level":3,"score":0.6636931896209717},{"id":"https://openalex.org/C193415008","wikidata":"https://www.wikidata.org/wiki/Q639681","display_name":"Network architecture","level":2,"score":0.5820654034614563},{"id":"https://openalex.org/C139807058","wikidata":"https://www.wikidata.org/wiki/Q352374","display_name":"Adaptation (eye)","level":2,"score":0.5323767066001892},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.5122334361076355},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.47836750745773315},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4565025269985199},{"id":"https://openalex.org/C74193536","wikidata":"https://www.wikidata.org/wiki/Q574844","display_name":"Kernel (algebra)","level":2,"score":0.4547845125198364},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.44314736127853394},{"id":"https://openalex.org/C177148314","wikidata":"https://www.wikidata.org/wiki/Q170084","display_name":"Generalization","level":2,"score":0.44210389256477356},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.43485406041145325},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"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/C94625758","wikidata":"https://www.wikidata.org/wiki/Q7163","display_name":"Politics","level":2,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","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},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/tpami.2020.3044416","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tpami.2020.3044416","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:33315553","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/33315553","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}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Industry, innovation and infrastructure","id":"https://metadata.un.org/sdg/9","score":0.6000000238418579}],"awards":[{"id":"https://openalex.org/G281856727","display_name":null,"funder_award_id":"61876212","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G3418581704","display_name":null,"funder_award_id":"61733007","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"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":127,"referenced_works":["https://openalex.org/W639708223","https://openalex.org/W1522301498","https://openalex.org/W1686810756","https://openalex.org/W1836465849","https://openalex.org/W1861492603","https://openalex.org/W1901129140","https://openalex.org/W1903029394","https://openalex.org/W2080873731","https://openalex.org/W2108598243","https://openalex.org/W2163605009","https://openalex.org/W2183341477","https://openalex.org/W2194775991","https://openalex.org/W2340897893","https://openalex.org/W2541674938","https://openalex.org/W2553303224","https://openalex.org/W2561907692","https://openalex.org/W2612445135","https://openalex.org/W2613718673","https://openalex.org/W2630837129","https://openalex.org/W2748513770","https://openalex.org/W2773706593","https://openalex.org/W2803311163","https://openalex.org/W2810075754","https://openalex.org/W2883780447","https://openalex.org/W2885820039","https://openalex.org/W2886934227","https://openalex.org/W2891778567","https://openalex.org/W2894651257","https://openalex.org/W2899771611","https://openalex.org/W2910327636","https://openalex.org/W2915992092","https://openalex.org/W2916798096","https://openalex.org/W2925303509","https://openalex.org/W2950141105","https://openalex.org/W2951104886","https://openalex.org/W2960010704","https://openalex.org/W2961666066","https://openalex.org/W2962746461","https://openalex.org/W2963125010","https://openalex.org/W2963136578","https://openalex.org/W2963137684","https://openalex.org/W2963163009","https://openalex.org/W2963342610","https://openalex.org/W2963351448","https://openalex.org/W2963402313","https://openalex.org/W2963410064","https://openalex.org/W2963446712","https://openalex.org/W2963473542","https://openalex.org/W2963536136","https://openalex.org/W2963628712","https://openalex.org/W2963778169","https://openalex.org/W2963821229","https://openalex.org/W2963840672","https://openalex.org/W2963918968","https://openalex.org/W2964081807","https://openalex.org/W2964121744","https://openalex.org/W2964259004","https://openalex.org/W2964309882","https://openalex.org/W2964331719","https://openalex.org/W2964515685","https://openalex.org/W2965658867","https://openalex.org/W2967733054","https://openalex.org/W2980270353","https://openalex.org/W2987301155","https://openalex.org/W2991391304","https://openalex.org/W2994731810","https://openalex.org/W2994749257","https://openalex.org/W2995727387","https://openalex.org/W2996336378","https://openalex.org/W2998564420","https://openalex.org/W2999079533","https://openalex.org/W3000060095","https://openalex.org/W3014641072","https://openalex.org/W3030728803","https://openalex.org/W3035223629","https://openalex.org/W3096533519","https://openalex.org/W3106250896","https://openalex.org/W4288325606","https://openalex.org/W4288630482","https://openalex.org/W4297775537","https://openalex.org/W4300687381","https://openalex.org/W4300687870","https://openalex.org/W6620707391","https://openalex.org/W6631190155","https://openalex.org/W6637373629","https://openalex.org/W6638667902","https://openalex.org/W6639102338","https://openalex.org/W6684191040","https://openalex.org/W6685444988","https://openalex.org/W6696085341","https://openalex.org/W6729059855","https://openalex.org/W6729956949","https://openalex.org/W6730741096","https://openalex.org/W6737664043","https://openalex.org/W6739696289","https://openalex.org/W6740474667","https://openalex.org/W6741414320","https://openalex.org/W6743495212","https://openalex.org/W6745614327","https://openalex.org/W6746693648","https://openalex.org/W6747806236","https://openalex.org/W6748057086","https://openalex.org/W6749810415","https://openalex.org/W6751831502","https://openalex.org/W6752515464","https://openalex.org/W6753303928","https://openalex.org/W6753344092","https://openalex.org/W6754259177","https://openalex.org/W6754899465","https://openalex.org/W6756040250","https://openalex.org/W6756427901","https://openalex.org/W6756887525","https://openalex.org/W6756944905","https://openalex.org/W6757844082","https://openalex.org/W6759828284","https://openalex.org/W6760018943","https://openalex.org/W6760796423","https://openalex.org/W6761158446","https://openalex.org/W6761209512","https://openalex.org/W6764322716","https://openalex.org/W6767064347","https://openalex.org/W6767071366","https://openalex.org/W6767840681","https://openalex.org/W6771127686","https://openalex.org/W6772060317","https://openalex.org/W6772361531","https://openalex.org/W6785652829"],"related_works":["https://openalex.org/W3162204513","https://openalex.org/W2371138613","https://openalex.org/W2048963458","https://openalex.org/W43109613","https://openalex.org/W2359952343","https://openalex.org/W2239445980","https://openalex.org/W2080152487","https://openalex.org/W3083152911","https://openalex.org/W3022347918","https://openalex.org/W4200527723"],"abstract_inverted_index":{"Deep":[0],"neural":[1,21,54],"networks":[2,82,157,171],"achieve":[3],"remarkable":[4],"performance":[5,36],"in":[6],"many":[7],"computer":[8],"vision":[9],"tasks.":[10],"Most":[11],"state-of-the-art":[12],"(SOTA)":[13],"semantic":[14,159],"segmentation":[15,138,204],"and":[16,48,61,104,139,163,175,184,205,217,233],"object":[17,161],"detection":[18,47,60,140,206],"approaches":[19],"reuse":[20],"network":[22,43,109,118],"architectures":[23,44],"designed":[24,172],"for":[25,46,59,137,158,238],"image":[26],"classification":[27],"as":[28,50],"the":[29,72,80,102,231,242],"backbone,":[30],"commonly":[31],"pre-trained":[32,113],"on":[33,152,182],"ImageNet.":[34],"However,":[35],"gains":[37],"can":[38,99],"be":[39],"achieved":[40],"by":[41,52,176],"designing":[42],"specifically":[45],"segmentation,":[49,160],"shown":[51],"recent":[53],"architecture":[55,103],"search":[56,73],"(NAS)":[57],"research":[58],"segmentation.":[62],"One":[63],"major":[64],"challenge":[65],"though":[66],"is":[67,199,236],"that":[68,167],"ImageNet":[69,112],"pre-training":[70],"of":[71,106,197,224],"space":[74],"representation":[75],"(a.k.a.":[76],"super":[77],"network)":[78,114],"or":[79,123],"searched":[81],"incurs":[83],"huge":[84],"computational":[85],"cost.":[86],"In":[87,146],"this":[88],"paper,":[89],"we":[90,149],"propose":[91],"a":[92,107,117,127,142,189],"Fast":[93],"Network":[94],"Adaptation":[95],"(FNA++)":[96],"method,":[97],"which":[98,187],"adapt":[100],"both":[101,173],"parameters":[105],"seed":[108],"(e.g.,":[110],"an":[111],"to":[115,134,154,229],"become":[116],"with":[119],"different":[120],"depths,":[121],"widths,":[122],"kernel":[124],"sizes":[125],"via":[126],"parameter":[128],"remapping":[129],"technique,":[130],"making":[131],"it":[132],"possible":[133],"use":[135],"NAS":[136,185,207],"tasks":[141],"lot":[143],"more":[144,239],"efficiently.":[145],"our":[147],"experiments,":[148],"apply":[150],"FNA++":[151,181,198],"MobileNetV2":[153],"obtain":[155],"new":[156],"detection,":[162],"human":[164],"pose":[165],"estimation":[166],"clearly":[168],"outperform":[169],"existing":[170],"manually":[174],"NAS.":[177],"We":[178],"also":[179],"implement":[180],"ResNets":[183],"networks,":[186],"demonstrates":[188],"great":[190],"generalization":[191],"ability.":[192],"The":[193],"total":[194],"computation":[195],"cost":[196],"significantly":[200],"less":[201,210,214,219],"than":[202,211,215,220],"SOTA":[203],"approaches:":[208],"1737\u00d7":[209],"DPC,":[212],"6.8\u00d7":[213],"Auto-DeepLab,":[216],"8.0\u00d7":[218],"DetNAS.":[221],"A":[222],"series":[223],"ablation":[225],"studies":[226],"are":[227,246],"performed":[228],"demonstrate":[230],"effectiveness,":[232],"detailed":[234],"analysis":[235],"provided":[237],"insights":[240],"into":[241],"working":[243],"mechanism.":[244],"Codes":[245],"available":[247],"at":[248],"https://github.com/JaminFong/FNA.":[249]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":4},{"year":2024,"cited_by_count":6},{"year":2023,"cited_by_count":9},{"year":2022,"cited_by_count":5},{"year":2021,"cited_by_count":10},{"year":2020,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
