{"id":"https://openalex.org/W4380763457","doi":"https://doi.org/10.1109/tgrs.2023.3286826","title":"Multimodal Fusion Transformer for Remote Sensing Image Classification","display_name":"Multimodal Fusion Transformer for Remote Sensing Image Classification","publication_year":2023,"publication_date":"2023-01-01","ids":{"openalex":"https://openalex.org/W4380763457","doi":"https://doi.org/10.1109/tgrs.2023.3286826"},"language":"en","primary_location":{"id":"doi:10.1109/tgrs.2023.3286826","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tgrs.2023.3286826","pdf_url":null,"source":{"id":"https://openalex.org/S111326731","display_name":"IEEE Transactions on Geoscience and Remote Sensing","issn_l":"0196-2892","issn":["0196-2892","1558-0644"],"is_oa":false,"is_in_doaj":false,"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 Transactions on Geoscience and Remote Sensing","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"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/A5087427076","display_name":"Swalpa Kumar Roy","orcid":"https://orcid.org/0000-0002-6580-3977"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Swalpa Kumar Roy","raw_affiliation_strings":["Department of Computer Science and Engineering, Jalpaiguri Government Engineering College, West Bengal, Jalpaiguri, India"],"raw_orcid":"https://orcid.org/0000-0002-6580-3977","affiliations":[{"raw_affiliation_string":"Department of Computer Science and Engineering, Jalpaiguri Government Engineering College, West Bengal, Jalpaiguri, India","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5053722593","display_name":"Ankur Deria","orcid":"https://orcid.org/0000-0002-2078-8064"},"institutions":[{"id":"https://openalex.org/I62916508","display_name":"Technical University of Munich","ror":"https://ror.org/02kkvpp62","country_code":"DE","type":"education","lineage":["https://openalex.org/I62916508"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Ankur Deria","raw_affiliation_strings":["Department of Informatics, Technical University of Munich, Garching bei M&#x00FC;nchen, Germany"],"raw_orcid":"https://orcid.org/0000-0002-2078-8064","affiliations":[{"raw_affiliation_string":"Department of Informatics, Technical University of Munich, Garching bei M&#x00FC;nchen, Germany","institution_ids":["https://openalex.org/I62916508"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5075013625","display_name":"Danfeng Hong","orcid":"https://orcid.org/0000-0002-3212-9584"},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"government","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I4210137199","display_name":"Aerospace Information Research Institute","ror":"https://ror.org/0419fj215","country_code":"CN","type":"education","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210137199"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Danfeng Hong","raw_affiliation_strings":["Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing, China","CAS - Chinese Academy of Sciences [Beijing] (52 Sanlihe Rd., Beijing, 100864 - China)"],"raw_orcid":"https://orcid.org/0000-0002-3212-9584","affiliations":[{"raw_affiliation_string":"Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I4210137199","https://openalex.org/I19820366"]},{"raw_affiliation_string":"CAS - Chinese Academy of Sciences [Beijing] (52 Sanlihe Rd., Beijing, 100864 - China)","institution_ids":["https://openalex.org/I19820366"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5042657950","display_name":"Behnood Rasti","orcid":"https://orcid.org/0000-0002-1091-9841"},"institutions":[{"id":"https://openalex.org/I2801798921","display_name":"Helmholtz-Zentrum Dresden-Rossendorf","ror":"https://ror.org/01zy2cs03","country_code":"DE","type":"facility","lineage":["https://openalex.org/I1305996414","https://openalex.org/I2801798921"]},{"id":"https://openalex.org/I4210148560","display_name":"Helmholtz Institute Freiberg for Resource Technology","ror":"https://ror.org/04kdb0j04","country_code":"DE","type":"government","lineage":["https://openalex.org/I1305996414","https://openalex.org/I2801798921","https://openalex.org/I4210148560"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Behnood Rasti","raw_affiliation_strings":["Helmholtz-Zentrum Dresden-Rossendorf, Helmholtz Institute Freiberg for Resource Technology, Freiberg, Germany","HIF - Helmholtz Institute Freiberg for Resource Technology (Chemnitzer Str. 40, 09599 Freiberg, Germany - Germany)"],"raw_orcid":"https://orcid.org/0000-0002-1091-9841","affiliations":[{"raw_affiliation_string":"Helmholtz-Zentrum Dresden-Rossendorf, Helmholtz Institute Freiberg for Resource Technology, Freiberg, Germany","institution_ids":["https://openalex.org/I4210148560","https://openalex.org/I2801798921"]},{"raw_affiliation_string":"HIF - Helmholtz Institute Freiberg for Resource Technology (Chemnitzer Str. 40, 09599 Freiberg, Germany - Germany)","institution_ids":["https://openalex.org/I4210148560"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5054292278","display_name":"Antonio Plaza","orcid":"https://orcid.org/0000-0002-9613-1659"},"institutions":[{"id":"https://openalex.org/I80606768","display_name":"Universidad de Extremadura","ror":"https://ror.org/0174shg90","country_code":"ES","type":"education","lineage":["https://openalex.org/I80606768"]}],"countries":["ES"],"is_corresponding":false,"raw_author_name":"Antonio Plaza","raw_affiliation_strings":["Department of Technology of Computers and Communications, Escuela Polit&#x00E9;cnic, Hyperspectral Computing Laboratory, University of Extremadura, C&#x00E1;ceres, Spain"],"raw_orcid":"https://orcid.org/0000-0002-9613-1659","affiliations":[{"raw_affiliation_string":"Department of Technology of Computers and Communications, Escuela Polit&#x00E9;cnic, Hyperspectral Computing Laboratory, University of Extremadura, C&#x00E1;ceres, Spain","institution_ids":["https://openalex.org/I80606768"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5106124934","display_name":"Jocelyn Chanussot","orcid":"https://orcid.org/0000-0003-4817-2875"},"institutions":[{"id":"https://openalex.org/I106785703","display_name":"Institut polytechnique de Grenoble","ror":"https://ror.org/05sbt2524","country_code":"FR","type":"education","lineage":["https://openalex.org/I106785703","https://openalex.org/I899635006"]},{"id":"https://openalex.org/I1294671590","display_name":"Centre National de la Recherche Scientifique","ror":"https://ror.org/02feahw73","country_code":"FR","type":"government","lineage":["https://openalex.org/I1294671590"]},{"id":"https://openalex.org/I4210124956","display_name":"GIPSA-Lab","ror":"https://ror.org/02wrme198","country_code":"FR","type":"facility","lineage":["https://openalex.org/I106785703","https://openalex.org/I1294671590","https://openalex.org/I4210124956","https://openalex.org/I899635006","https://openalex.org/I899635006"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Jocelyn Chanussot","raw_affiliation_strings":["CNRS, Grenoble Institute of Technology (Grenoble INP), GIPSA-Lab, Universit&#x00E9; Grenoble Alpes, Grenoble, France"],"raw_orcid":"https://orcid.org/0000-0003-4817-2875","affiliations":[{"raw_affiliation_string":"CNRS, Grenoble Institute of Technology (Grenoble INP), GIPSA-Lab, Universit&#x00E9; Grenoble Alpes, Grenoble, France","institution_ids":["https://openalex.org/I106785703","https://openalex.org/I4210124956","https://openalex.org/I1294671590"]}]}],"institutions":[],"countries_distinct_count":4,"institutions_distinct_count":9,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":48.9126,"has_fulltext":false,"cited_by_count":466,"citation_normalized_percentile":{"value":0.99965633,"is_in_top_1_percent":true,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":99,"max":100},"biblio":{"volume":"61","issue":null,"first_page":"1","last_page":"20"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10689","display_name":"Remote-Sensing Image Classification","score":1.0,"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"}},"topics":[{"id":"https://openalex.org/T10689","display_name":"Remote-Sensing Image Classification","score":1.0,"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"}},{"id":"https://openalex.org/T11659","display_name":"Advanced Image Fusion Techniques","score":0.9945999979972839,"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"}},{"id":"https://openalex.org/T10111","display_name":"Remote Sensing in Agriculture","score":0.992900013923645,"subfield":{"id":"https://openalex.org/subfields/2303","display_name":"Ecology"},"field":{"id":"https://openalex.org/fields/23","display_name":"Environmental 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":0.8046540021896362},{"id":"https://openalex.org/keywords/transformer","display_name":"Transformer","score":0.6384012699127197},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.614585816860199},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.5624797344207764},{"id":"https://openalex.org/keywords/cls-upper-limits","display_name":"CLs upper limits","score":0.5290666222572327},{"id":"https://openalex.org/keywords/encoder","display_name":"Encoder","score":0.4592888057231903},{"id":"https://openalex.org/keywords/contextual-image-classification","display_name":"Contextual image classification","score":0.42715543508529663},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4262143075466156},{"id":"https://openalex.org/keywords/security-token","display_name":"Security token","score":0.4241585433483124},{"id":"https://openalex.org/keywords/source-code","display_name":"Source code","score":0.422366201877594},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3876751661300659},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.1398039162158966}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8046540021896362},{"id":"https://openalex.org/C66322947","wikidata":"https://www.wikidata.org/wiki/Q11658","display_name":"Transformer","level":3,"score":0.6384012699127197},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.614585816860199},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.5624797344207764},{"id":"https://openalex.org/C190729725","wikidata":"https://www.wikidata.org/wiki/Q5012817","display_name":"CLs upper limits","level":2,"score":0.5290666222572327},{"id":"https://openalex.org/C118505674","wikidata":"https://www.wikidata.org/wiki/Q42586063","display_name":"Encoder","level":2,"score":0.4592888057231903},{"id":"https://openalex.org/C75294576","wikidata":"https://www.wikidata.org/wiki/Q5165192","display_name":"Contextual image classification","level":3,"score":0.42715543508529663},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4262143075466156},{"id":"https://openalex.org/C48145219","wikidata":"https://www.wikidata.org/wiki/Q1335365","display_name":"Security token","level":2,"score":0.4241585433483124},{"id":"https://openalex.org/C43126263","wikidata":"https://www.wikidata.org/wiki/Q128751","display_name":"Source code","level":2,"score":0.422366201877594},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3876751661300659},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.1398039162158966},{"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/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C165801399","wikidata":"https://www.wikidata.org/wiki/Q25428","display_name":"Voltage","level":2,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.0},{"id":"https://openalex.org/C119767625","wikidata":"https://www.wikidata.org/wiki/Q618211","display_name":"Optometry","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/tgrs.2023.3286826","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tgrs.2023.3286826","pdf_url":null,"source":{"id":"https://openalex.org/S111326731","display_name":"IEEE Transactions on Geoscience and Remote Sensing","issn_l":"0196-2892","issn":["0196-2892","1558-0644"],"is_oa":false,"is_in_doaj":false,"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 Transactions on Geoscience and Remote Sensing","raw_type":"journal-article"},{"id":"pmh:oai:HAL:hal-04473659v1","is_oa":false,"landing_page_url":"https://hal.science/hal-04473659","pdf_url":null,"source":{"id":"https://openalex.org/S4306402512","display_name":"HAL (Le Centre pour la Communication Scientifique Directe)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1294671590","host_organization_name":"Centre National de la Recherche Scientifique","host_organization_lineage":["https://openalex.org/I1294671590"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"IEEE Transactions on Geoscience and Remote Sensing, 2023, 61, pp.1-20. &#x27E8;10.1109/TGRS.2023.3286826&#x27E9;","raw_type":"info:eu-repo/semantics/article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Life below water","score":0.699999988079071,"id":"https://metadata.un.org/sdg/14"}],"awards":[{"id":"https://openalex.org/G1041279674","display_name":"MIAI @ Grenoble Alpes","funder_award_id":"ANR-19-P3IA-0003","funder_id":"https://openalex.org/F4320320883","funder_display_name":"Agence Nationale de la Recherche"},{"id":"https://openalex.org/G1334061296","display_name":null,"funder_award_id":"SRG/2022/001390","funder_id":"https://openalex.org/F4320334771","funder_display_name":"Science and Engineering Research Board"},{"id":"https://openalex.org/G6629202286","display_name":null,"funder_award_id":"2022YFB3903401","funder_id":"https://openalex.org/F4320335777","funder_display_name":"National Key Research and Development Program of China"}],"funders":[{"id":"https://openalex.org/F4320320883","display_name":"Agence Nationale de la Recherche","ror":"https://ror.org/00rbzpz17"},{"id":"https://openalex.org/F4320334771","display_name":"Science and Engineering Research Board","ror":"https://ror.org/03ffdsr55"},{"id":"https://openalex.org/F4320335777","display_name":"National Key Research and Development Program of China","ror":null}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":74,"referenced_works":["https://openalex.org/W1497089125","https://openalex.org/W1522301498","https://openalex.org/W1551648222","https://openalex.org/W1836465849","https://openalex.org/W1966580635","https://openalex.org/W1973450996","https://openalex.org/W2059438067","https://openalex.org/W2065407071","https://openalex.org/W2077570405","https://openalex.org/W2107878631","https://openalex.org/W2127199143","https://openalex.org/W2136251662","https://openalex.org/W2146062404","https://openalex.org/W2194775991","https://openalex.org/W2292862975","https://openalex.org/W2606929568","https://openalex.org/W2755992512","https://openalex.org/W2764276316","https://openalex.org/W2791006446","https://openalex.org/W2793218933","https://openalex.org/W2808098982","https://openalex.org/W2888119354","https://openalex.org/W2914331134","https://openalex.org/W2923136550","https://openalex.org/W2952565170","https://openalex.org/W2964199361","https://openalex.org/W2982536526","https://openalex.org/W3003552243","https://openalex.org/W3004968762","https://openalex.org/W3014628500","https://openalex.org/W3022592629","https://openalex.org/W3031696400","https://openalex.org/W3041991648","https://openalex.org/W3046027728","https://openalex.org/W3047443805","https://openalex.org/W3048631361","https://openalex.org/W3084521418","https://openalex.org/W3090232286","https://openalex.org/W3100714546","https://openalex.org/W3102692100","https://openalex.org/W3103695279","https://openalex.org/W3105357426","https://openalex.org/W3105997607","https://openalex.org/W3112751649","https://openalex.org/W3114720220","https://openalex.org/W3122028341","https://openalex.org/W3122774149","https://openalex.org/W3128861763","https://openalex.org/W3133902755","https://openalex.org/W3135445258","https://openalex.org/W3140885850","https://openalex.org/W3167109952","https://openalex.org/W3168367808","https://openalex.org/W3186475347","https://openalex.org/W3203312104","https://openalex.org/W3207818847","https://openalex.org/W3214821343","https://openalex.org/W4200068923","https://openalex.org/W4206706211","https://openalex.org/W4210794570","https://openalex.org/W4214847365","https://openalex.org/W4281785683","https://openalex.org/W4312465065","https://openalex.org/W4312592451","https://openalex.org/W4313306177","https://openalex.org/W4313506322","https://openalex.org/W4319069095","https://openalex.org/W4362519158","https://openalex.org/W4385245566","https://openalex.org/W6631190155","https://openalex.org/W6638667902","https://openalex.org/W6697225824","https://openalex.org/W6739901393","https://openalex.org/W6842430276"],"related_works":["https://openalex.org/W2297670824","https://openalex.org/W2851521638","https://openalex.org/W2153707449","https://openalex.org/W2138049055","https://openalex.org/W2362907539","https://openalex.org/W2338395013","https://openalex.org/W4388335561","https://openalex.org/W2068590517","https://openalex.org/W2970530566","https://openalex.org/W2001919569"],"abstract_inverted_index":{"Vision":[0],"transformers":[1,47,55],"(ViTs)":[2],"have":[3,27],"been":[4],"trending":[5],"in":[6,32,129,134,161],"image":[7,34],"classification":[8,36,59],"tasks":[9],"due":[10,220],"to":[11,17,29,43,69,88,131,138,148,156,221],"their":[12],"promising":[13],"performance":[14,213],"when":[15],"compared":[16],"convolutional":[18],"neural":[19],"networks":[20],"(CNNs).":[21],"As":[22],"a":[23,95,102,111,158,162],"result,":[24],"many":[25],"researchers":[26],"tried":[28],"incorporate":[30],"ViTs":[31,51],"hyperspectral":[33],"(HSI)":[35],"tasks.":[37],"To":[38],"achieve":[39,139],"satisfactory":[40],"performance,":[41],"close":[42],"that":[44],"of":[45,75,94,126,144,181,185,196,224],"CNNs,":[46,206],"need":[48],"fewer":[49],"parameters.":[50],"and":[52,66,82,151,164,190,207],"other":[53,73,124,202],"similar":[54],"use":[56,223],"an":[57],"external":[58],"(CLS)":[60],"token":[61],"which":[62,109],"is":[63,146,219],"randomly":[64],"initialized":[65],"often":[67],"fails":[68],"generalize":[70],"well,":[71],"whereas":[72],"sources":[74,125],"multimodal":[76,104],"datasets,":[77],"such":[78],"as":[79],"light":[80],"detection":[81],"ranging":[83],"(LiDAR)":[84],"offer":[85],"the":[86,132,135,179,194,197,216,222],"potential":[87],"improve":[89],"these":[90],"models":[91],"by":[92,215],"means":[93],"CLS.":[96],"In":[97],"this":[98],"paper,":[99],"we":[100],"introduce":[101],"new":[103],"fusion":[105],"transformer":[106,136],"(MFT)":[107],"network":[108],"comprises":[110],"multihead":[112,225],"cross":[113,226],"patch":[114,153,227],"attention":[115],"(mCrossPA)":[116],"for":[117],"HSI":[118,133,152],"land-cover":[119],"classification.":[120],"Our":[121],"mCrossPA":[122],"utilizes":[123],"complementary":[127],"information":[128],"addition":[130],"encoder":[137],"better":[140],"generalization.":[141],"The":[142,211,229],"concept":[143],"tokenization":[145],"used":[147,175],"generate":[149],"CLS":[150],"tokens,":[154],"helping":[155],"learn":[157],"distinctive":[159],"representation":[160],"reduced":[163],"hierarchical":[165],"feature":[166],"space.":[167],"Extensive":[168],"experiments":[169],"are":[170],"carried":[171],"out":[172],"on":[173],"widely":[174],"benchmark":[176],"datasets":[177],"i.e.,":[178],"University":[180,184],"Houston,":[182],"Trento,":[183],"Southern":[186],"Mississippi":[187],"Gulfpark":[188],"(MUUFL),":[189],"Augsburg.":[191],"We":[192],"compare":[193],"results":[195],"proposed":[198,217],"MFT":[199],"model":[200,218],"with":[201],"state-of-the-art":[203],"transformers,":[204],"classical":[205],"conventional":[208],"classifiers":[209],"models.":[210],"superior":[212],"achieved":[214],"attention.":[228],"source":[230],"code":[231],"will":[232],"be":[233],"made":[234],"available":[235],"publicly":[236],"at":[237],"https://github.com/AnkurDeria/MFT.":[238]},"counts_by_year":[{"year":2026,"cited_by_count":39},{"year":2025,"cited_by_count":206},{"year":2024,"cited_by_count":154},{"year":2023,"cited_by_count":54},{"year":2022,"cited_by_count":13}],"updated_date":"2026-07-17T09:13:05.818461","created_date":"2025-10-10T00:00:00"}
