{"id":"https://openalex.org/W4402979802","doi":"https://doi.org/10.1109/icme57554.2024.10687791","title":"Relating CNN-Transformer Fusion Network for Remote Sensing Change Detection","display_name":"Relating CNN-Transformer Fusion Network for Remote Sensing Change Detection","publication_year":2024,"publication_date":"2024-07-15","ids":{"openalex":"https://openalex.org/W4402979802","doi":"https://doi.org/10.1109/icme57554.2024.10687791"},"language":"en","primary_location":{"id":"doi:10.1109/icme57554.2024.10687791","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icme57554.2024.10687791","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 IEEE International Conference on Multimedia and Expo (ICME)","raw_type":"proceedings-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/A5101836448","display_name":"Yuhao Gao","orcid":"https://orcid.org/0000-0001-9569-572X"},"institutions":[{"id":"https://openalex.org/I36399199","display_name":"Nanjing University of Science and Technology","ror":"https://ror.org/00xp9wg62","country_code":"CN","type":"education","lineage":["https://openalex.org/I36399199"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yuhao Gao","raw_affiliation_strings":["Nanjing University of Science and Technology,School of Computer Science and Engineering,Nanjing,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Nanjing University of Science and Technology,School of Computer Science and Engineering,Nanjing,China","institution_ids":["https://openalex.org/I36399199"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5082756213","display_name":"Gensheng Pei","orcid":"https://orcid.org/0000-0002-7677-7487"},"institutions":[{"id":"https://openalex.org/I36399199","display_name":"Nanjing University of Science and Technology","ror":"https://ror.org/00xp9wg62","country_code":"CN","type":"education","lineage":["https://openalex.org/I36399199"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Gensheng Pei","raw_affiliation_strings":["Nanjing University of Science and Technology,School of Computer Science and Engineering,Nanjing,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Nanjing University of Science and Technology,School of Computer Science and Engineering,Nanjing,China","institution_ids":["https://openalex.org/I36399199"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5074182947","display_name":"Mengmeng Sheng","orcid":"https://orcid.org/0000-0002-2011-8597"},"institutions":[{"id":"https://openalex.org/I36399199","display_name":"Nanjing University of Science and Technology","ror":"https://ror.org/00xp9wg62","country_code":"CN","type":"education","lineage":["https://openalex.org/I36399199"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Mengmeng Sheng","raw_affiliation_strings":["Nanjing University of Science and Technology,School of Computer Science and Engineering,Nanjing,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Nanjing University of Science and Technology,School of Computer Science and Engineering,Nanjing,China","institution_ids":["https://openalex.org/I36399199"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5073755558","display_name":"Zeren Sun","orcid":"https://orcid.org/0000-0001-6262-5338"},"institutions":[{"id":"https://openalex.org/I36399199","display_name":"Nanjing University of Science and Technology","ror":"https://ror.org/00xp9wg62","country_code":"CN","type":"education","lineage":["https://openalex.org/I36399199"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zeren Sun","raw_affiliation_strings":["Nanjing University of Science and Technology,School of Computer Science and Engineering,Nanjing,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Nanjing University of Science and Technology,School of Computer Science and Engineering,Nanjing,China","institution_ids":["https://openalex.org/I36399199"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5075177714","display_name":"Tao Chen","orcid":"https://orcid.org/0000-0001-8239-1698"},"institutions":[{"id":"https://openalex.org/I36399199","display_name":"Nanjing University of Science and Technology","ror":"https://ror.org/00xp9wg62","country_code":"CN","type":"education","lineage":["https://openalex.org/I36399199"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Tao Chen","raw_affiliation_strings":["Nanjing University of Science and Technology,School of Computer Science and Engineering,Nanjing,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Nanjing University of Science and Technology,School of Computer Science and Engineering,Nanjing,China","institution_ids":["https://openalex.org/I36399199"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5027545344","display_name":"Yazhou Yao","orcid":"https://orcid.org/0000-0002-0337-9410"},"institutions":[{"id":"https://openalex.org/I36399199","display_name":"Nanjing University of Science and Technology","ror":"https://ror.org/00xp9wg62","country_code":"CN","type":"education","lineage":["https://openalex.org/I36399199"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yazhou Yao","raw_affiliation_strings":["Nanjing University of Science and Technology,School of Computer Science and Engineering,Nanjing,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Nanjing University of Science and Technology,School of Computer Science and Engineering,Nanjing,China","institution_ids":["https://openalex.org/I36399199"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I36399199"],"apc_list":null,"apc_paid":null,"fwci":4.7918,"has_fulltext":false,"cited_by_count":17,"citation_normalized_percentile":{"value":0.95515514,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":100},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"6"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10689","display_name":"Remote-Sensing Image Classification","score":0.8683000206947327,"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":0.8683000206947327,"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/T12389","display_name":"Infrared Target Detection Methodologies","score":0.7930999994277954,"subfield":{"id":"https://openalex.org/subfields/2202","display_name":"Aerospace Engineering"},"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/T10320","display_name":"Neural Networks and Applications","score":0.7261999845504761,"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":0.6587951183319092},{"id":"https://openalex.org/keywords/transformer","display_name":"Transformer","score":0.5702278017997742},{"id":"https://openalex.org/keywords/fusion","display_name":"Fusion","score":0.5541616082191467},{"id":"https://openalex.org/keywords/sensor-fusion","display_name":"Sensor fusion","score":0.48157835006713867},{"id":"https://openalex.org/keywords/change-detection","display_name":"Change detection","score":0.458512544631958},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3211256265640259},{"id":"https://openalex.org/keywords/electrical-engineering","display_name":"Electrical engineering","score":0.16529697179794312},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.15847742557525635},{"id":"https://openalex.org/keywords/voltage","display_name":"Voltage","score":0.09086275100708008}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6587951183319092},{"id":"https://openalex.org/C66322947","wikidata":"https://www.wikidata.org/wiki/Q11658","display_name":"Transformer","level":3,"score":0.5702278017997742},{"id":"https://openalex.org/C158525013","wikidata":"https://www.wikidata.org/wiki/Q2593739","display_name":"Fusion","level":2,"score":0.5541616082191467},{"id":"https://openalex.org/C33954974","wikidata":"https://www.wikidata.org/wiki/Q486494","display_name":"Sensor fusion","level":2,"score":0.48157835006713867},{"id":"https://openalex.org/C203595873","wikidata":"https://www.wikidata.org/wiki/Q25389927","display_name":"Change detection","level":2,"score":0.458512544631958},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3211256265640259},{"id":"https://openalex.org/C119599485","wikidata":"https://www.wikidata.org/wiki/Q43035","display_name":"Electrical engineering","level":1,"score":0.16529697179794312},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.15847742557525635},{"id":"https://openalex.org/C165801399","wikidata":"https://www.wikidata.org/wiki/Q25428","display_name":"Voltage","level":2,"score":0.09086275100708008},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icme57554.2024.10687791","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icme57554.2024.10687791","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 IEEE International Conference on Multimedia and Expo (ICME)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320322769","display_name":"Natural Science Foundation of Jiangsu Province","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320335787","display_name":"Fundamental Research Funds for the Central Universities","ror":null}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":32,"referenced_works":["https://openalex.org/W2832876791","https://openalex.org/W2891248708","https://openalex.org/W2908320224","https://openalex.org/W3009942016","https://openalex.org/W3027225766","https://openalex.org/W3034429256","https://openalex.org/W3036453075","https://openalex.org/W3094502228","https://openalex.org/W3127659116","https://openalex.org/W3130754787","https://openalex.org/W3138516171","https://openalex.org/W3151130473","https://openalex.org/W3169761117","https://openalex.org/W3176330035","https://openalex.org/W3180045188","https://openalex.org/W3207616990","https://openalex.org/W4221044012","https://openalex.org/W4226228401","https://openalex.org/W4311849222","https://openalex.org/W4312526532","https://openalex.org/W4312549298","https://openalex.org/W4313014573","https://openalex.org/W4317672152","https://openalex.org/W4366377607","https://openalex.org/W4377224530","https://openalex.org/W4384787738","https://openalex.org/W4387746040","https://openalex.org/W4387885847","https://openalex.org/W6631190155","https://openalex.org/W6766978945","https://openalex.org/W6784163774","https://openalex.org/W6797399245"],"related_works":["https://openalex.org/W2568858292","https://openalex.org/W1515964938","https://openalex.org/W2389381914","https://openalex.org/W2376528221","https://openalex.org/W196800607","https://openalex.org/W2132659060","https://openalex.org/W2031992971","https://openalex.org/W3214791684","https://openalex.org/W2353265673","https://openalex.org/W2152662039"],"abstract_inverted_index":{"While":[0],"deep":[1],"learning,":[2],"particularly":[3],"convolutional":[4],"neural":[5],"networks":[6,33],"(CNNs),":[7],"has":[8],"revolutionized":[9],"remote":[10],"sensing":[11],"(RS)":[12],"change":[13,29,101],"detection":[14],"(CD),":[15],"existing":[16],"approaches":[17],"often":[18],"miss":[19],"crucial":[20],"features":[21,55],"due":[22],"to":[23,49,92],"neglecting":[24],"global":[25,94],"context":[26],"and":[27,53,82,96,118,124,130],"incomplete":[28],"learning.":[30],"Additionally,":[31],"transformer":[32],"struggle":[34],"with":[35],"low-level":[36],"details.":[37],"RCTNet":[38],"addresses":[39],"these":[40],"limitations":[41],"by":[42],"introducing":[43],"(1)":[44],"an":[45,84,119],"early":[46,56],"fusion":[47],"backbone":[48],"exploit":[50],"both":[51],"spatial":[52],"temporal":[54,66],"on,":[57],"(2)":[58],"a":[59,69],"Cross-Stage":[60],"Aggregation":[61],"(CSA)":[62],"module":[63,74,89],"for":[64,75,99],"enhanced":[65],"representation,":[67],"(3)":[68],"Multi-Scale":[70],"Feature":[71],"Fusion":[72],"(MSF)":[73],"enriched":[76],"feature":[77],"extraction":[78],"in":[79],"the":[80],"decoder,":[81],"(4)":[83],"Efficient":[85],"Self-deciphering":[86],"Attention":[87],"(ESA)":[88],"utilizing":[90],"transformers":[91],"capture":[93],"information":[95],"fine-grained":[97],"details":[98],"accurate":[100],"detection.":[102],"Extensive":[103],"experiments":[104],"demonstrate":[105],"RCTNet\u2019s":[106],"clear":[107],"superiority":[108],"over":[109],"traditional":[110],"RS":[111],"image":[112],"CD":[113],"methods,":[114],"showing":[115],"significant":[116],"improvement":[117],"optimal":[120],"balance":[121],"between":[122],"accuracy":[123],"computational":[125],"cost.":[126],"Our":[127],"source":[128],"codes":[129],"pre-trained":[131],"models":[132],"are":[133],"available":[134],"at:":[135],"https://github.com/NUST-Machine-Intelligence-Laboratory/RCTNet.":[136]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":14},{"year":2024,"cited_by_count":1}],"updated_date":"2026-06-26T08:34:08.712188","created_date":"2025-10-10T00:00:00"}