{"id":"https://openalex.org/W4403488643","doi":"https://doi.org/10.3233/faia240484","title":"Task-Aware Dynamic Transformer for Efficient Arbitrary-Scale Image Super-Resolution","display_name":"Task-Aware Dynamic Transformer for Efficient Arbitrary-Scale Image Super-Resolution","publication_year":2024,"publication_date":"2024-10-16","ids":{"openalex":"https://openalex.org/W4403488643","doi":"https://doi.org/10.3233/faia240484"},"language":"en","primary_location":{"id":"doi:10.3233/faia240484","is_oa":false,"landing_page_url":"https://doi.org/10.3233/faia240484","pdf_url":null,"source":{"id":"https://openalex.org/S4210201731","display_name":"Frontiers in artificial intelligence and applications","issn_l":"0922-6389","issn":["0922-6389","1879-8314"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Frontiers in Artificial Intelligence and Applications","raw_type":"book-chapter"},"type":"book-chapter","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/A5051440813","display_name":"Tianyi Xu","orcid":"https://orcid.org/0000-0001-6697-2492"},"institutions":[{"id":"https://openalex.org/I205237279","display_name":"Nankai University","ror":"https://ror.org/01y1kjr75","country_code":"CN","type":"education","lineage":["https://openalex.org/I205237279"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Tianyi Xu","raw_affiliation_strings":["School of Statistics and Data Science, Nankai University, Tianjin, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Statistics and Data Science, Nankai University, Tianjin, China","institution_ids":["https://openalex.org/I205237279"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5103064103","display_name":"Yijie Zhou","orcid":"https://orcid.org/0000-0001-8180-3857"},"institutions":[{"id":"https://openalex.org/I205237279","display_name":"Nankai University","ror":"https://ror.org/01y1kjr75","country_code":"CN","type":"education","lineage":["https://openalex.org/I205237279"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yijie Zhou","raw_affiliation_strings":["School of Statistics and Data Science, Nankai University, Tianjin, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Statistics and Data Science, Nankai University, Tianjin, China","institution_ids":["https://openalex.org/I205237279"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102429590","display_name":"Xiaotao Hu","orcid":null},"institutions":[{"id":"https://openalex.org/I205237279","display_name":"Nankai University","ror":"https://ror.org/01y1kjr75","country_code":"CN","type":"education","lineage":["https://openalex.org/I205237279"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiaotao Hu","raw_affiliation_strings":["College of Computer Science, Nankai University, Tianjin, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Computer Science, Nankai University, Tianjin, China","institution_ids":["https://openalex.org/I205237279"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5009819154","display_name":"Kai Zhang","orcid":"https://orcid.org/0000-0002-9629-5995"},"institutions":[{"id":"https://openalex.org/I308837","display_name":"Suzhou University of Science and Technology","ror":"https://ror.org/04en8wb91","country_code":"CN","type":"education","lineage":["https://openalex.org/I308837"]},{"id":"https://openalex.org/I881766915","display_name":"Nanjing University","ror":"https://ror.org/01rxvg760","country_code":"CN","type":"education","lineage":["https://openalex.org/I881766915"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Kai Zhang","raw_affiliation_strings":["School of Intelligence Science and Technology, Nanjing University, Suzhou, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Intelligence Science and Technology, Nanjing University, Suzhou, China","institution_ids":["https://openalex.org/I308837","https://openalex.org/I881766915"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5076644962","display_name":"Anran Zhang","orcid":null},"institutions":[{"id":"https://openalex.org/I2250653659","display_name":"Tencent (China)","ror":"https://ror.org/00hhjss72","country_code":"CN","type":"company","lineage":["https://openalex.org/I2250653659"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Anran Zhang","raw_affiliation_strings":["Tencent Data Platform, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Tencent Data Platform, Beijing, China","institution_ids":["https://openalex.org/I2250653659"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5008672377","display_name":"Xingye Qiu","orcid":null},"institutions":[{"id":"https://openalex.org/I4210157899","display_name":"China State Shipbuilding (China)","ror":"https://ror.org/04rveb346","country_code":"CN","type":"company","lineage":["https://openalex.org/I4210157899"]},{"id":"https://openalex.org/I76130692","display_name":"Zhejiang University","ror":"https://ror.org/00a2xv884","country_code":"CN","type":"education","lineage":["https://openalex.org/I76130692"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xingye Qiu","raw_affiliation_strings":["Systems Engineering Research Institute, China State Shipbuilding Corporation Limited, Beijing, China","Zhejiang University, Hangzhou, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Systems Engineering Research Institute, China State Shipbuilding Corporation Limited, Beijing, China","institution_ids":["https://openalex.org/I4210157899"]},{"raw_affiliation_string":"Zhejiang University, Hangzhou, China","institution_ids":["https://openalex.org/I76130692"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5042967567","display_name":"Jun Xu","orcid":"https://orcid.org/0000-0002-1602-538X"},"institutions":[{"id":"https://openalex.org/I205237279","display_name":"Nankai University","ror":"https://ror.org/01y1kjr75","country_code":"CN","type":"education","lineage":["https://openalex.org/I205237279"]},{"id":"https://openalex.org/I4210116924","display_name":"Chinese University of Hong Kong, Shenzhen","ror":"https://ror.org/02d5ks197","country_code":"CN","type":"education","lineage":["https://openalex.org/I177725633","https://openalex.org/I180726961","https://openalex.org/I4210116924"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jun Xu","raw_affiliation_strings":["Guangdong Provincial Key Laboratory of Big Data Computing, The Chinese University of Hong Kong, Shenzhen, China","School of Statistics and Data Science, Nankai University, Tianjin, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Guangdong Provincial Key Laboratory of Big Data Computing, The Chinese University of Hong Kong, Shenzhen, China","institution_ids":["https://openalex.org/I4210116924"]},{"raw_affiliation_string":"School of Statistics and Data Science, Nankai University, Tianjin, China","institution_ids":["https://openalex.org/I205237279"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":7,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.7168,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.79580683,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":95,"max":96},"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11105","display_name":"Advanced Image Processing Techniques","score":0.994700014591217,"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/T11105","display_name":"Advanced Image Processing Techniques","score":0.994700014591217,"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/T10688","display_name":"Image and Signal Denoising Methods","score":0.9883999824523926,"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/T13114","display_name":"Image Processing Techniques and Applications","score":0.9858999848365784,"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/transformer","display_name":"Transformer","score":0.6474419236183167},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5962414741516113},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.43045246601104736},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.33517467975616455},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.3268710970878601},{"id":"https://openalex.org/keywords/electrical-engineering","display_name":"Electrical engineering","score":0.19011035561561584},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.13521966338157654},{"id":"https://openalex.org/keywords/voltage","display_name":"Voltage","score":0.1261473298072815}],"concepts":[{"id":"https://openalex.org/C66322947","wikidata":"https://www.wikidata.org/wiki/Q11658","display_name":"Transformer","level":3,"score":0.6474419236183167},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5962414741516113},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.43045246601104736},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.33517467975616455},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.3268710970878601},{"id":"https://openalex.org/C119599485","wikidata":"https://www.wikidata.org/wiki/Q43035","display_name":"Electrical engineering","level":1,"score":0.19011035561561584},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.13521966338157654},{"id":"https://openalex.org/C165801399","wikidata":"https://www.wikidata.org/wiki/Q25428","display_name":"Voltage","level":2,"score":0.1261473298072815}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.3233/faia240484","is_oa":false,"landing_page_url":"https://doi.org/10.3233/faia240484","pdf_url":null,"source":{"id":"https://openalex.org/S4210201731","display_name":"Frontiers in artificial intelligence and applications","issn_l":"0922-6389","issn":["0922-6389","1879-8314"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Frontiers in Artificial Intelligence and Applications","raw_type":"book-chapter"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W2772917594","https://openalex.org/W2036807459","https://openalex.org/W2058170566","https://openalex.org/W2755342338","https://openalex.org/W2166024367","https://openalex.org/W3116076068","https://openalex.org/W2229312674","https://openalex.org/W2951359407","https://openalex.org/W2079911747","https://openalex.org/W1969923398"],"abstract_inverted_index":{"Arbitrary-scale":[0],"super-resolution":[1,11,65],"(ASSR)":[2],"aims":[3],"to":[4,39,171],"learn":[5],"a":[6,101,119,133,167],"single":[7],"model":[8],"for":[9,111],"image":[10,53,113],"at":[12,210],"arbitrary":[13,28],"magnifying":[14],"scales.":[15,90,158],"Existing":[16],"ASSR":[17,42,192],"networks":[18],"typically":[19],"comprise":[20],"an":[21,27,51,55,107],"off-the-shelf":[22],"scale-agnostic":[23],"feature":[24,32,109,121,145,198],"extractor":[25,110],"and":[26,54,132,156,176],"scale":[29],"upsampler.":[30],"These":[31],"extractors":[33],"often":[34],"use":[35],"fixed":[36],"network":[37],"architectures":[38],"address":[40],"different":[41,67],"inference":[43,68,142,162],"tasks,":[44],"each":[45],"of":[46,64,118,127,161],"which":[47],"is":[48,164,208],"characterized":[49],"by":[50,166],"input":[52,154],"upsampling":[56],"scale.":[57],"However,":[58],"this":[59,93,97],"overlooks":[60],"the":[61,141,153,173],"difficulty":[62,94],"variance":[63],"on":[66,152],"scenarios,":[69],"where":[70],"simple":[71],"images":[72,86,155],"or":[73,87],"small":[74],"SR":[75,89,157,174],"scales":[76],"could":[77],"be":[78],"resolved":[79],"with":[80,183,196,201],"less":[81],"computational":[82,204],"effort":[83],"than":[84],"difficult":[85],"large":[88],"To":[91],"tackle":[92],"variability,":[95],"in":[96],"paper,":[98],"we":[99],"propose":[100],"Task-Aware":[102,134],"Dynamic":[103],"Transformer":[104,129],"(TADT)":[105],"as":[106],"input-adaptive":[108],"efficient":[112],"ASSR.":[114],"Our":[115],"TADT":[116,189],"consists":[117],"multi-scale":[120],"extraction":[122,146],"backbone":[123],"built":[124],"upon":[125],"groups":[126],"Multi-Scale":[128],"Blocks":[130],"(MSTBs)":[131],"Routing":[135],"Controller":[136],"(TARC).":[137],"The":[138,159,206],"TARC":[139],"predicts":[140],"paths":[143],"within":[144],"backbone,":[147],"specifically":[148],"selecting":[149],"MSTBs":[150],"based":[151],"prediction":[160],"path":[163],"guided":[165],"new":[168],"loss":[169],"function":[170],"trade-off":[172],"accuracy":[175],"efficiency.":[177],"Experiments":[178],"demonstrate":[179],"that,":[180],"when":[181,194],"working":[182],"three":[184],"popular":[185],"arbitrary-scale":[186],"upsamplers,":[187],"our":[188],"achieves":[190],"state-of-the-art":[191],"performance":[193],"compared":[195],"mainstream":[197],"extractors,":[199],"but":[200],"relatively":[202],"fewer":[203],"costs.":[205],"code":[207],"available":[209],"https://github.com/Tillyhere/TADT.":[211]},"counts_by_year":[{"year":2025,"cited_by_count":2}],"updated_date":"2026-05-21T06:26:12.895304","created_date":"2025-10-10T00:00:00"}