{"id":"https://openalex.org/W4416252189","doi":"https://doi.org/10.1109/ijcnn64981.2025.11227443","title":"Spatial Dual Feature Aggregation Network for Lightweight Image Super-Resolution","display_name":"Spatial Dual Feature Aggregation Network for Lightweight Image Super-Resolution","publication_year":2025,"publication_date":"2025-06-30","ids":{"openalex":"https://openalex.org/W4416252189","doi":"https://doi.org/10.1109/ijcnn64981.2025.11227443"},"language":null,"primary_location":{"id":"doi:10.1109/ijcnn64981.2025.11227443","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn64981.2025.11227443","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 International Joint Conference on Neural Networks (IJCNN)","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/A5101233665","display_name":"Chengxing Xie","orcid":"https://orcid.org/0009-0000-1637-833X"},"institutions":[{"id":"https://openalex.org/I4800084","display_name":"Southwest Jiaotong University","ror":"https://ror.org/00hn7w693","country_code":"CN","type":"education","lineage":["https://openalex.org/I4800084"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Chengxing Xie","raw_affiliation_strings":["Southwest Jiaotong University,School of Computing and Artificial Intelligence,Chengdu,China"],"affiliations":[{"raw_affiliation_string":"Southwest Jiaotong University,School of Computing and Artificial Intelligence,Chengdu,China","institution_ids":["https://openalex.org/I4800084"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5076450346","display_name":"Linze Li","orcid":"https://orcid.org/0000-0001-5362-8991"},"institutions":[{"id":"https://openalex.org/I4800084","display_name":"Southwest Jiaotong University","ror":"https://ror.org/00hn7w693","country_code":"CN","type":"education","lineage":["https://openalex.org/I4800084"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Linze Li","raw_affiliation_strings":["Southwest Jiaotong University,School of Computing and Artificial Intelligence,Chengdu,China"],"affiliations":[{"raw_affiliation_string":"Southwest Jiaotong University,School of Computing and Artificial Intelligence,Chengdu,China","institution_ids":["https://openalex.org/I4800084"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5044944450","display_name":"Xilu Zhao","orcid":"https://orcid.org/0000-0002-4488-6208"},"institutions":[{"id":"https://openalex.org/I4800084","display_name":"Southwest Jiaotong University","ror":"https://ror.org/00hn7w693","country_code":"CN","type":"education","lineage":["https://openalex.org/I4800084"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiaole Zhao","raw_affiliation_strings":["Southwest Jiaotong University,School of Computing and Artificial Intelligence,Chengdu,China"],"affiliations":[{"raw_affiliation_string":"Southwest Jiaotong University,School of Computing and Artificial Intelligence,Chengdu,China","institution_ids":["https://openalex.org/I4800084"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5101233665"],"corresponding_institution_ids":["https://openalex.org/I4800084"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.34613705,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"8"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11105","display_name":"Advanced Image Processing Techniques","score":0.9681000113487244,"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":0.9681000113487244,"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/T11659","display_name":"Advanced Image Fusion Techniques","score":0.012199999764561653,"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/T11165","display_name":"Image and Video Quality Assessment","score":0.008299999870359898,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/convolution","display_name":"Convolution (computer science)","score":0.5652999877929688},{"id":"https://openalex.org/keywords/computational-complexity-theory","display_name":"Computational complexity theory","score":0.5376999974250793},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.5029000043869019},{"id":"https://openalex.org/keywords/exploit","display_name":"Exploit","score":0.46790000796318054},{"id":"https://openalex.org/keywords/channel","display_name":"Channel (broadcasting)","score":0.44850000739097595},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.40720000863075256},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.36970001459121704},{"id":"https://openalex.org/keywords/computation","display_name":"Computation","score":0.33649998903274536}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7703999876976013},{"id":"https://openalex.org/C45347329","wikidata":"https://www.wikidata.org/wiki/Q5166604","display_name":"Convolution (computer science)","level":3,"score":0.5652999877929688},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5476999878883362},{"id":"https://openalex.org/C179799912","wikidata":"https://www.wikidata.org/wiki/Q205084","display_name":"Computational complexity theory","level":2,"score":0.5376999974250793},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.5029000043869019},{"id":"https://openalex.org/C165696696","wikidata":"https://www.wikidata.org/wiki/Q11287","display_name":"Exploit","level":2,"score":0.46790000796318054},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.4616999924182892},{"id":"https://openalex.org/C127162648","wikidata":"https://www.wikidata.org/wiki/Q16858953","display_name":"Channel (broadcasting)","level":2,"score":0.44850000739097595},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.40720000863075256},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.36970001459121704},{"id":"https://openalex.org/C45374587","wikidata":"https://www.wikidata.org/wiki/Q12525525","display_name":"Computation","level":2,"score":0.33649998903274536},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.3203999996185303},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.3190999925136566},{"id":"https://openalex.org/C2776760102","wikidata":"https://www.wikidata.org/wiki/Q5139990","display_name":"Code (set theory)","level":3,"score":0.3188000023365021},{"id":"https://openalex.org/C66024118","wikidata":"https://www.wikidata.org/wiki/Q1122506","display_name":"Computational model","level":2,"score":0.31060001254081726},{"id":"https://openalex.org/C2780980858","wikidata":"https://www.wikidata.org/wiki/Q110022","display_name":"Dual (grammatical number)","level":2,"score":0.2969000041484833},{"id":"https://openalex.org/C26760741","wikidata":"https://www.wikidata.org/wiki/Q160402","display_name":"Perception","level":2,"score":0.2856999933719635},{"id":"https://openalex.org/C104122410","wikidata":"https://www.wikidata.org/wiki/Q1416406","display_name":"Network model","level":2,"score":0.2800000011920929},{"id":"https://openalex.org/C5339829","wikidata":"https://www.wikidata.org/wiki/Q1425977","display_name":"Machine vision","level":2,"score":0.2799000144004822},{"id":"https://openalex.org/C159620131","wikidata":"https://www.wikidata.org/wiki/Q1938983","display_name":"Spatial analysis","level":2,"score":0.2727999985218048},{"id":"https://openalex.org/C186967261","wikidata":"https://www.wikidata.org/wiki/Q5082128","display_name":"Mobile device","level":2,"score":0.2538999915122986},{"id":"https://openalex.org/C205372480","wikidata":"https://www.wikidata.org/wiki/Q210521","display_name":"Image resolution","level":2,"score":0.25369998812675476}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/ijcnn64981.2025.11227443","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn64981.2025.11227443","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 International Joint Conference on Neural Networks (IJCNN)","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"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":34,"referenced_works":["https://openalex.org/W1791560514","https://openalex.org/W1885185971","https://openalex.org/W1930824406","https://openalex.org/W2047920195","https://openalex.org/W2121927366","https://openalex.org/W2192954843","https://openalex.org/W2214802144","https://openalex.org/W2242218935","https://openalex.org/W2741137940","https://openalex.org/W2752782242","https://openalex.org/W2866634454","https://openalex.org/W2963372104","https://openalex.org/W2963645458","https://openalex.org/W2964101377","https://openalex.org/W2976718572","https://openalex.org/W3034247386","https://openalex.org/W3133531783","https://openalex.org/W3170026688","https://openalex.org/W3178925107","https://openalex.org/W3207918547","https://openalex.org/W4312916726","https://openalex.org/W4366463769","https://openalex.org/W4382450208","https://openalex.org/W4385245566","https://openalex.org/W4385804877","https://openalex.org/W4390872521","https://openalex.org/W4390872856","https://openalex.org/W4390872882","https://openalex.org/W4399423421","https://openalex.org/W4400315380","https://openalex.org/W4400955477","https://openalex.org/W4402727675","https://openalex.org/W4403792232","https://openalex.org/W4408709632"],"related_works":[],"abstract_inverted_index":{"Recently,":[0],"vision":[1,65],"transformer-based":[2],"methods":[3],"have":[4],"achieved":[5],"breakthrough":[6],"progress":[7],"in":[8,18,31],"image":[9,78],"super-resolution":[10],"(SR)":[11],"tasks,":[12],"owing":[13],"to":[14,24,98,113,134,151,173],"their":[15,41],"powerful":[16],"capability":[17],"capturing":[19,32],"global":[20],"features.":[21],"However,":[22],"compared":[23,172],"convolution":[25],"operations,":[26],"self-attention":[27],"mechanisms":[28],"are":[29,191],"weaker":[30],"local":[33,94,103,139],"structures":[34],"and":[35,40,67,84,117,129,136,140,159,183,189],"high-frequency":[36],"components":[37],"of":[38,64,102,127],"images,":[39],"high":[42],"computational":[43,123,184],"complexity":[44],"makes":[45],"them":[46],"unsuitable":[47],"for":[48,76,93],"mobile":[49],"devices":[50],"with":[51],"limited":[52],"computing":[53],"power.":[54],"To":[55],"address":[56],"these":[57],"issues,":[58],"we":[59,88,106,144],"incorporate":[60],"the":[61,100,132,154,166],"structural":[62],"characteristics":[63],"transformers":[66],"propose":[68,107],"a":[69,108,146],"spatial":[70,147,158],"dual":[71],"feature":[72],"aggregation":[73,96],"network":[74],"(SDFAN)":[75],"lightweight":[77],"SR.":[79],"Based":[80],"on":[81],"naive":[82],"convolutions":[83],"variance":[85],"attention":[86,111],"(VA),":[87],"present":[89],"an":[90],"efficient":[91],"scheme":[92],"pattern":[95],"(LPA)":[97],"enhance":[99],"perception":[101],"details.":[104],"Meanwhile,":[105],"multi-scale":[109,118],"dilated":[110],"(MSDA)":[112],"flexibly":[114],"model":[115,133],"non-local":[116,141],"features":[119],"while":[120,178],"maintaining":[121,179],"linear":[122],"complexity.":[124],"The":[125],"integration":[126],"LPA":[128],"MSDA":[130],"enables":[131],"simultaneously":[135],"effectively":[137],"capture":[138],"dependencies.":[142],"Furthermore,":[143],"design":[145],"channel":[148,160],"mixer":[149],"(SCM)":[150],"fully":[152],"exploit":[153],"synergistic":[155],"interaction":[156],"between":[157],"information.":[161],"Extensive":[162],"experiments":[163],"demonstrate":[164],"that":[165],"proposed":[167],"SDFAN":[168],"exhibits":[169],"superior":[170],"performance":[171],"existing":[174],"state-of-the-art":[175],"SR":[176],"models":[177,190],"lower":[180],"parameter":[181],"counts":[182],"costs.":[185],"Our":[186],"source":[187],"code":[188],"available":[192],"at":[193],"https://github.com/stella-von/SDFAN.":[194]},"counts_by_year":[],"updated_date":"2026-04-09T08:11:56.329763","created_date":"2025-11-14T00:00:00"}
