{"id":"https://openalex.org/W4415353175","doi":"https://doi.org/10.1109/lsp.2025.3624145","title":"Vari-FocalFuse: Sparse Attention With Adaptive Attention Spans for Image Fusion","display_name":"Vari-FocalFuse: Sparse Attention With Adaptive Attention Spans for Image Fusion","publication_year":2025,"publication_date":"2025-01-01","ids":{"openalex":"https://openalex.org/W4415353175","doi":"https://doi.org/10.1109/lsp.2025.3624145"},"language":null,"primary_location":{"id":"doi:10.1109/lsp.2025.3624145","is_oa":false,"landing_page_url":"https://doi.org/10.1109/lsp.2025.3624145","pdf_url":null,"source":{"id":"https://openalex.org/S120629676","display_name":"IEEE Signal Processing Letters","issn_l":"1070-9908","issn":["1070-9908","1558-2361"],"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 Signal Processing Letters","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/A5015038259","display_name":"Shengchen Zhu","orcid":null},"institutions":[{"id":"https://openalex.org/I111599522","display_name":"Jiangnan University","ror":"https://ror.org/04mkzax54","country_code":"CN","type":"education","lineage":["https://openalex.org/I111599522"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shengchen Zhu","raw_affiliation_strings":["Engineering Research Center of Intelligent Technology for Healthcare, Ministry of Education, Jiangnan University, Wuxi, China"],"raw_orcid":"https://orcid.org/0009-0001-2878-5335","affiliations":[{"raw_affiliation_string":"Engineering Research Center of Intelligent Technology for Healthcare, Ministry of Education, Jiangnan University, Wuxi, China","institution_ids":["https://openalex.org/I111599522"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Min Jiang","orcid":"https://orcid.org/0000-0003-3826-6405"},"institutions":[{"id":"https://openalex.org/I111599522","display_name":"Jiangnan University","ror":"https://ror.org/04mkzax54","country_code":"CN","type":"education","lineage":["https://openalex.org/I111599522"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Min Jiang","raw_affiliation_strings":["Engineering Research Center of Intelligent Technology for Healthcare, Ministry of Education, Jiangnan University, Wuxi, China"],"raw_orcid":"https://orcid.org/0000-0003-3826-6405","affiliations":[{"raw_affiliation_string":"Engineering Research Center of Intelligent Technology for Healthcare, Ministry of Education, Jiangnan University, Wuxi, China","institution_ids":["https://openalex.org/I111599522"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5005068793","display_name":"Jun Kong","orcid":"https://orcid.org/0000-0003-2551-4748"},"institutions":[{"id":"https://openalex.org/I111599522","display_name":"Jiangnan University","ror":"https://ror.org/04mkzax54","country_code":"CN","type":"education","lineage":["https://openalex.org/I111599522"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jun Kong","raw_affiliation_strings":["Key Laboratory of Advanced Process Control for Light Industry (Ministry of Education), Jiangnan University, Wuxi, China"],"raw_orcid":"https://orcid.org/0000-0003-2551-4748","affiliations":[{"raw_affiliation_string":"Key Laboratory of Advanced Process Control for Light Industry (Ministry of Education), Jiangnan University, Wuxi, China","institution_ids":["https://openalex.org/I111599522"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101556513","display_name":"Ming Lu","orcid":"https://orcid.org/0000-0002-0577-1969"},"institutions":[{"id":"https://openalex.org/I111599522","display_name":"Jiangnan University","ror":"https://ror.org/04mkzax54","country_code":"CN","type":"education","lineage":["https://openalex.org/I111599522"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ming Lu","raw_affiliation_strings":["Engineering Research Center of Intelligent Technology for Healthcare, Ministry of Education, Jiangnan University, Wuxi, China"],"raw_orcid":"https://orcid.org/0000-0002-0577-1969","affiliations":[{"raw_affiliation_string":"Engineering Research Center of Intelligent Technology for Healthcare, Ministry of Education, Jiangnan University, Wuxi, China","institution_ids":["https://openalex.org/I111599522"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100446474","display_name":"Jiayi Li","orcid":"https://orcid.org/0009-0006-4009-7013"},"institutions":[{"id":"https://openalex.org/I111599522","display_name":"Jiangnan University","ror":"https://ror.org/04mkzax54","country_code":"CN","type":"education","lineage":["https://openalex.org/I111599522"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jiayi Li","raw_affiliation_strings":["Engineering Research Center of Intelligent Technology for Healthcare, Ministry of Education, Jiangnan University, Wuxi, China"],"raw_orcid":"https://orcid.org/0009-0006-4009-7013","affiliations":[{"raw_affiliation_string":"Engineering Research Center of Intelligent Technology for Healthcare, Ministry of Education, Jiangnan University, Wuxi, China","institution_ids":["https://openalex.org/I111599522"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I111599522"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.38048696,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"32","issue":null,"first_page":"4139","last_page":"4143"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11659","display_name":"Advanced Image Fusion Techniques","score":0.9983000159263611,"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/T11659","display_name":"Advanced Image Fusion Techniques","score":0.9983000159263611,"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/T10052","display_name":"Medical Image Segmentation Techniques","score":0.9625999927520752,"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":0.9585999846458435,"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":0.5167999863624573},{"id":"https://openalex.org/keywords/attention-network","display_name":"Attention network","score":0.5052000284194946},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.5044999718666077},{"id":"https://openalex.org/keywords/perception","display_name":"Perception","score":0.49889999628067017},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.4787999987602234},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.46889999508857727},{"id":"https://openalex.org/keywords/memorization","display_name":"Memorization","score":0.3763999938964844},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.36890000104904175},{"id":"https://openalex.org/keywords/image-fusion","display_name":"Image fusion","score":0.34209999442100525}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7997999787330627},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6496000289916992},{"id":"https://openalex.org/C45347329","wikidata":"https://www.wikidata.org/wiki/Q5166604","display_name":"Convolution (computer science)","level":3,"score":0.5167999863624573},{"id":"https://openalex.org/C2993807640","wikidata":"https://www.wikidata.org/wiki/Q103709453","display_name":"Attention network","level":2,"score":0.5052000284194946},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.5044999718666077},{"id":"https://openalex.org/C26760741","wikidata":"https://www.wikidata.org/wiki/Q160402","display_name":"Perception","level":2,"score":0.49889999628067017},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.4787999987602234},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.46889999508857727},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.427700012922287},{"id":"https://openalex.org/C30038468","wikidata":"https://www.wikidata.org/wiki/Q4354775","display_name":"Memorization","level":2,"score":0.3763999938964844},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.36890000104904175},{"id":"https://openalex.org/C69744172","wikidata":"https://www.wikidata.org/wiki/Q860822","display_name":"Image fusion","level":3,"score":0.34209999442100525},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.3402999937534332},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.30889999866485596},{"id":"https://openalex.org/C147764199","wikidata":"https://www.wikidata.org/wiki/Q6865248","display_name":"Minification","level":2,"score":0.29809999465942383},{"id":"https://openalex.org/C158525013","wikidata":"https://www.wikidata.org/wiki/Q2593739","display_name":"Fusion","level":2,"score":0.2937999963760376},{"id":"https://openalex.org/C2778915421","wikidata":"https://www.wikidata.org/wiki/Q3643177","display_name":"Performance improvement","level":2,"score":0.29089999198913574},{"id":"https://openalex.org/C2986089797","wikidata":"https://www.wikidata.org/wiki/Q6501338","display_name":"Visual attention","level":3,"score":0.28600001335144043},{"id":"https://openalex.org/C152124472","wikidata":"https://www.wikidata.org/wiki/Q1204361","display_name":"Redundancy (engineering)","level":2,"score":0.2816999852657318},{"id":"https://openalex.org/C2776151529","wikidata":"https://www.wikidata.org/wiki/Q3045304","display_name":"Object detection","level":3,"score":0.26499998569488525},{"id":"https://openalex.org/C178253425","wikidata":"https://www.wikidata.org/wiki/Q162668","display_name":"Visual perception","level":3,"score":0.26350000500679016},{"id":"https://openalex.org/C29265498","wikidata":"https://www.wikidata.org/wiki/Q7047719","display_name":"Noise measurement","level":3,"score":0.2567000091075897},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.2531000077724457},{"id":"https://openalex.org/C179799912","wikidata":"https://www.wikidata.org/wiki/Q205084","display_name":"Computational complexity theory","level":2,"score":0.2524999976158142},{"id":"https://openalex.org/C124066611","wikidata":"https://www.wikidata.org/wiki/Q28684319","display_name":"Sparse approximation","level":2,"score":0.2502000033855438}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/lsp.2025.3624145","is_oa":false,"landing_page_url":"https://doi.org/10.1109/lsp.2025.3624145","pdf_url":null,"source":{"id":"https://openalex.org/S120629676","display_name":"IEEE Signal Processing Letters","issn_l":"1070-9908","issn":["1070-9908","1558-2361"],"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 Signal Processing Letters","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G1554260982","display_name":null,"funder_award_id":"62371209","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G1994726485","display_name":null,"funder_award_id":"62371208","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":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":35,"referenced_works":["https://openalex.org/W1708141795","https://openalex.org/W1999034606","https://openalex.org/W2009758395","https://openalex.org/W2054273865","https://openalex.org/W2601564443","https://openalex.org/W2783573276","https://openalex.org/W2796314858","https://openalex.org/W2854583595","https://openalex.org/W3083574456","https://openalex.org/W3094502228","https://openalex.org/W3131111098","https://openalex.org/W3133700567","https://openalex.org/W3138516171","https://openalex.org/W3138808092","https://openalex.org/W3143068962","https://openalex.org/W3194523157","https://openalex.org/W4220893768","https://openalex.org/W4283732315","https://openalex.org/W4312348652","https://openalex.org/W4312349930","https://openalex.org/W4313555022","https://openalex.org/W4378697028","https://openalex.org/W4384916907","https://openalex.org/W4388706355","https://openalex.org/W4390872931","https://openalex.org/W4393240973","https://openalex.org/W4402727538","https://openalex.org/W4402753825","https://openalex.org/W4402754177","https://openalex.org/W4402774288","https://openalex.org/W4404809770","https://openalex.org/W4407937097","https://openalex.org/W4412403803","https://openalex.org/W4413144420","https://openalex.org/W4413147599"],"related_works":[],"abstract_inverted_index":{"Existing":[0],"image":[1,171],"fusion":[2,172],"methods":[3],"introduce":[4],"convolution":[5,21],"or":[6,29],"attention":[7,24,41,44,62,79,91,123],"to":[8,47,64,81,103,136,155],"perceive":[9],"multi-scale":[10,82,127],"targets":[11,128],"in":[12,27],"different":[13],"source":[14],"images.":[15],"However,":[16],"fixed":[17],"operation":[18],"spans,":[19,25],"including":[20],"spans":[22,63,80,92,124],"and":[23,51,84,107,119],"result":[26],"insufficient":[28],"redundant":[30,109,141,157],"perception.":[31],"In":[32],"this":[33],"work,":[34],"we":[35,55,76,111,143],"propose":[36,56,85,112,144],"Vari-FocalFuse,":[37],"which":[38],"performs":[39],"sparse":[40],"with":[42],"adaptive":[43,122],"spans.":[45],"Firstly,":[46],"perform":[48,104],"local":[49,73],"perception":[50,106,149],"capture":[52,126],"intricate":[53],"details,":[54],"Focal":[57],"Attention":[58,114],"(FAtten).":[59],"It":[60],"localizes":[61],"the":[65,78,99],"nearest":[66],"neighbor":[67],"tokens":[68],"like":[69],"convolutions,":[70],"modeling":[71],"spatial":[72],"correlation.":[74],"Secondly,":[75],"adapt":[77],"targets,":[83],"Memorization":[86],"Content":[87],"Awareness":[88],"(MCAware).":[89],"The":[90,121],"are":[93],"expanded":[94],"until":[95],"they":[96],"can":[97,125],"cover":[98],"corresponding":[100],"targets.":[101],"Thirdly,":[102],"global":[105],"minimize":[108],"perception,":[110,142],"Vari-Focal":[113],"(VFAtten)":[115],"by":[116,140],"combining":[117],"FAtten":[118],"MCAware.":[120],"without":[129],"taking":[130],"irrelevant":[131],"information":[132],"into":[133],"account.":[134],"Finally,":[135],"mitigate":[137,156],"noise":[138],"caused":[139],"Sandwich":[145],"GLU":[146],"(SwGLU).":[147],"Spatial":[148],"refined":[150],"gating":[151],"process":[152],"is":[153],"utilized":[154],"information.":[158],"Extensive":[159],"experiments":[160],"demonstrate":[161],"that":[162],"our":[163],"Vari-FocalFuse":[164],"achieves":[165],"state-of-the-art":[166],"(SOTA)":[167],"performance":[168],"on":[169],"various":[170],"tasks.":[173]},"counts_by_year":[],"updated_date":"2025-11-06T23:17:08.748858","created_date":"2025-10-21T00:00:00"}