{"id":"https://openalex.org/W4318148011","doi":"https://doi.org/10.1109/bigdata55660.2022.10020665","title":"WaveNets: Wavelet Channel Attention Networks","display_name":"WaveNets: Wavelet Channel Attention Networks","publication_year":2022,"publication_date":"2022-12-17","ids":{"openalex":"https://openalex.org/W4318148011","doi":"https://doi.org/10.1109/bigdata55660.2022.10020665"},"language":"en","primary_location":{"id":"doi:10.1109/bigdata55660.2022.10020665","is_oa":false,"landing_page_url":"https://doi.org/10.1109/bigdata55660.2022.10020665","pdf_url":null,"source":{"id":"https://openalex.org/S4363607709","display_name":"2022 IEEE International Conference on Big Data (Big Data)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 IEEE International Conference on Big Data (Big Data)","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/A5086542384","display_name":"Hadi Salman","orcid":"https://orcid.org/0000-0002-4381-6021"},"institutions":[{"id":"https://openalex.org/I78715868","display_name":"University of Arkansas at Fayetteville","ror":"https://ror.org/05jbt9m15","country_code":"US","type":"education","lineage":["https://openalex.org/I78715868"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Hadi Salman","raw_affiliation_strings":["University of Arkansas,Department of Computer Science,Fayetteville,Arkansas,USA","Department of Computer Science, University of Arkansas, Fayetteville, Arkansas, USA"],"affiliations":[{"raw_affiliation_string":"University of Arkansas,Department of Computer Science,Fayetteville,Arkansas,USA","institution_ids":["https://openalex.org/I78715868"]},{"raw_affiliation_string":"Department of Computer Science, University of Arkansas, Fayetteville, Arkansas, USA","institution_ids":["https://openalex.org/I78715868"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5063409580","display_name":"Caleb Parks","orcid":null},"institutions":[{"id":"https://openalex.org/I78715868","display_name":"University of Arkansas at Fayetteville","ror":"https://ror.org/05jbt9m15","country_code":"US","type":"education","lineage":["https://openalex.org/I78715868"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Caleb Parks","raw_affiliation_strings":["University of Arkansas,Department of Computer Science,Fayetteville,Arkansas,USA","Department of Computer Science, University of Arkansas, Fayetteville, Arkansas, USA"],"affiliations":[{"raw_affiliation_string":"University of Arkansas,Department of Computer Science,Fayetteville,Arkansas,USA","institution_ids":["https://openalex.org/I78715868"]},{"raw_affiliation_string":"Department of Computer Science, University of Arkansas, Fayetteville, Arkansas, USA","institution_ids":["https://openalex.org/I78715868"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5000915803","display_name":"Shi Yin Hong","orcid":null},"institutions":[{"id":"https://openalex.org/I78715868","display_name":"University of Arkansas at Fayetteville","ror":"https://ror.org/05jbt9m15","country_code":"US","type":"education","lineage":["https://openalex.org/I78715868"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Shi Yin Hong","raw_affiliation_strings":["University of Arkansas,Department of Computer Science,Fayetteville,Arkansas,USA","Department of Computer Science, University of Arkansas, Fayetteville, Arkansas, USA"],"affiliations":[{"raw_affiliation_string":"University of Arkansas,Department of Computer Science,Fayetteville,Arkansas,USA","institution_ids":["https://openalex.org/I78715868"]},{"raw_affiliation_string":"Department of Computer Science, University of Arkansas, Fayetteville, Arkansas, USA","institution_ids":["https://openalex.org/I78715868"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5021549646","display_name":"Justin Zhan","orcid":"https://orcid.org/0000-0001-8991-5669"},"institutions":[{"id":"https://openalex.org/I63135867","display_name":"University of Cincinnati","ror":"https://ror.org/01e3m7079","country_code":"US","type":"education","lineage":["https://openalex.org/I63135867"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Justin Zhan","raw_affiliation_strings":["University of Cincinnati,Department of Computer Science,Cincinnati,Ohio,USA","Department of Computer Science, University of Cincinnati, Cincinnati, Ohio, USA"],"affiliations":[{"raw_affiliation_string":"University of Cincinnati,Department of Computer Science,Cincinnati,Ohio,USA","institution_ids":["https://openalex.org/I63135867"]},{"raw_affiliation_string":"Department of Computer Science, University of Cincinnati, Cincinnati, Ohio, USA","institution_ids":["https://openalex.org/I63135867"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5086542384"],"corresponding_institution_ids":["https://openalex.org/I78715868"],"apc_list":null,"apc_paid":null,"fwci":0.4198,"has_fulltext":false,"cited_by_count":7,"citation_normalized_percentile":{"value":0.71866534,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"1107","last_page":"1113"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11105","display_name":"Advanced Image Processing Techniques","score":0.9991000294685364,"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":0.9991000294685364,"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":0.9984999895095825,"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/T10036","display_name":"Advanced Neural Network Applications","score":0.9980000257492065,"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/haar-wavelet","display_name":"Haar wavelet","score":0.7757911682128906},{"id":"https://openalex.org/keywords/pooling","display_name":"Pooling","score":0.751643717288971},{"id":"https://openalex.org/keywords/wavelet","display_name":"Wavelet","score":0.714271605014801},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.688084602355957},{"id":"https://openalex.org/keywords/channel","display_name":"Channel (broadcasting)","score":0.6642972230911255},{"id":"https://openalex.org/keywords/wavelet-transform","display_name":"Wavelet transform","score":0.6148886680603027},{"id":"https://openalex.org/keywords/code","display_name":"Code (set theory)","score":0.5591456890106201},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.47731098532676697},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.4663889408111572},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4477687180042267},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.44736456871032715},{"id":"https://openalex.org/keywords/compression","display_name":"Compression (physics)","score":0.41477108001708984},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.4131372272968292},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.39734381437301636},{"id":"https://openalex.org/keywords/discrete-wavelet-transform","display_name":"Discrete wavelet transform","score":0.28295445442199707},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.12490224838256836},{"id":"https://openalex.org/keywords/programming-language","display_name":"Programming language","score":0.066529780626297}],"concepts":[{"id":"https://openalex.org/C2780423554","wikidata":"https://www.wikidata.org/wiki/Q766198","display_name":"Haar wavelet","level":5,"score":0.7757911682128906},{"id":"https://openalex.org/C70437156","wikidata":"https://www.wikidata.org/wiki/Q7228652","display_name":"Pooling","level":2,"score":0.751643717288971},{"id":"https://openalex.org/C47432892","wikidata":"https://www.wikidata.org/wiki/Q831390","display_name":"Wavelet","level":2,"score":0.714271605014801},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.688084602355957},{"id":"https://openalex.org/C127162648","wikidata":"https://www.wikidata.org/wiki/Q16858953","display_name":"Channel (broadcasting)","level":2,"score":0.6642972230911255},{"id":"https://openalex.org/C196216189","wikidata":"https://www.wikidata.org/wiki/Q2867","display_name":"Wavelet transform","level":3,"score":0.6148886680603027},{"id":"https://openalex.org/C2776760102","wikidata":"https://www.wikidata.org/wiki/Q5139990","display_name":"Code (set theory)","level":3,"score":0.5591456890106201},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.47731098532676697},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.4663889408111572},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4477687180042267},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.44736456871032715},{"id":"https://openalex.org/C180016635","wikidata":"https://www.wikidata.org/wiki/Q2712821","display_name":"Compression (physics)","level":2,"score":0.41477108001708984},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.4131372272968292},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.39734381437301636},{"id":"https://openalex.org/C46286280","wikidata":"https://www.wikidata.org/wiki/Q2414958","display_name":"Discrete wavelet transform","level":4,"score":0.28295445442199707},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.12490224838256836},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.066529780626297},{"id":"https://openalex.org/C94625758","wikidata":"https://www.wikidata.org/wiki/Q7163","display_name":"Politics","level":2,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C159985019","wikidata":"https://www.wikidata.org/wiki/Q181790","display_name":"Composite material","level":1,"score":0.0},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0},{"id":"https://openalex.org/C192562407","wikidata":"https://www.wikidata.org/wiki/Q228736","display_name":"Materials science","level":0,"score":0.0},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","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},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/bigdata55660.2022.10020665","is_oa":false,"landing_page_url":"https://doi.org/10.1109/bigdata55660.2022.10020665","pdf_url":null,"source":{"id":"https://openalex.org/S4363607709","display_name":"2022 IEEE International Conference on Big Data (Big Data)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 IEEE International Conference on Big Data (Big Data)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320310058","display_name":"University of Arkansas","ror":"https://ror.org/05jbt9m15"},{"id":"https://openalex.org/F4320338440","display_name":"HORIZON EUROPE Health","ror":null}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":64,"referenced_works":["https://openalex.org/W2116988482","https://openalex.org/W2117539524","https://openalex.org/W2194775991","https://openalex.org/W2752782242","https://openalex.org/W2884585870","https://openalex.org/W2904483377","https://openalex.org/W2907551576","https://openalex.org/W2955058313","https://openalex.org/W2960974111","https://openalex.org/W2962926870","https://openalex.org/W2962935835","https://openalex.org/W2963091558","https://openalex.org/W2963094099","https://openalex.org/W2963142663","https://openalex.org/W2963363373","https://openalex.org/W2963494934","https://openalex.org/W2963855133","https://openalex.org/W2967610771","https://openalex.org/W2981408784","https://openalex.org/W2982220924","https://openalex.org/W2997478096","https://openalex.org/W2999653953","https://openalex.org/W3003753788","https://openalex.org/W3005359536","https://openalex.org/W3008540959","https://openalex.org/W3011217915","https://openalex.org/W3034552520","https://openalex.org/W3034655717","https://openalex.org/W3035006120","https://openalex.org/W3035502324","https://openalex.org/W3090004407","https://openalex.org/W3094307091","https://openalex.org/W3109671265","https://openalex.org/W3128999341","https://openalex.org/W3134235012","https://openalex.org/W3135384301","https://openalex.org/W3138294001","https://openalex.org/W3146366485","https://openalex.org/W3146425478","https://openalex.org/W3158565133","https://openalex.org/W3160333797","https://openalex.org/W3160392859","https://openalex.org/W3160462972","https://openalex.org/W3160844164","https://openalex.org/W3173342677","https://openalex.org/W3185980597","https://openalex.org/W3186423747","https://openalex.org/W3189867217","https://openalex.org/W3202418656","https://openalex.org/W3212180552","https://openalex.org/W3212386989","https://openalex.org/W3213288046","https://openalex.org/W4214666412","https://openalex.org/W4224874617","https://openalex.org/W4289752563","https://openalex.org/W4295312788","https://openalex.org/W6755034786","https://openalex.org/W6766978945","https://openalex.org/W6771166760","https://openalex.org/W6773015959","https://openalex.org/W6780493881","https://openalex.org/W6803278513","https://openalex.org/W6809920287","https://openalex.org/W7017371589"],"related_works":["https://openalex.org/W2914531896","https://openalex.org/W2175493893","https://openalex.org/W2922522935","https://openalex.org/W1563568571","https://openalex.org/W4311622255","https://openalex.org/W4311622254","https://openalex.org/W2138087993","https://openalex.org/W2077021924","https://openalex.org/W2366623948","https://openalex.org/W1982665099"],"abstract_inverted_index":{"Channel":[0],"Attention":[1],"reigns":[2],"supreme":[3],"as":[4,40,70,84],"an":[5],"effective":[6,44],"technique":[7],"in":[8,25,58],"the":[9,15,30,74,99],"field":[10],"of":[11,32,120,134,136],"computer":[12],"vision.":[13],"However,":[14],"proposed":[16,141],"channel":[17,45,60,75,87,110,128],"attention":[18,46,111,129],"by":[19,29],"SENet":[20],"suffers":[21],"from":[22],"information":[23],"loss":[24],"feature":[26],"learning":[27],"caused":[28],"use":[31],"Global":[33],"Average":[34],"Pooling":[35],"(GAP)":[36],"to":[37,73,98],"represent":[38],"channels":[39],"scalars.":[41],"Thus,":[42],"designing":[43],"mechanisms":[47],"requires":[48],"finding":[49],"a":[50,71,85,132],"s":[51],"olution":[52],"t":[53,80,149,157],"o":[54,155],"enhance":[55],"features":[56],"preservation":[57],"modeling":[59],"inter-dependencies.":[61],"In":[62],"this":[63,106],"work,":[64],"we":[65,108],"utilize":[66],"Wavelet":[67,113],"transform":[68,83],"compression":[69,88,114],"solution":[72],"representation":[76],"problem.":[77],"We":[78,90,138],"first":[79],"est":[81],"wavelet":[82,103],"standalone":[86],"method.":[89],"prove":[91],"that":[92],"global":[93],"average":[94],"pooling":[95],"is":[96,167],"equivalent":[97],"recursive":[100],"approximate":[101],"Haar":[102],"transform.":[104],"With":[105],"proof,":[107],"generalize":[109],"using":[112,143],"and":[115,161],"name":[116],"it":[117],"WaveNet.":[118],"Implementation":[119],"our":[121,140],"method":[122,142],"can":[123],"be":[124],"embedded":[125],"within":[126],"existing":[127],"methods":[130],"with":[131],"couple":[133],"lines":[135],"code.":[137],"test":[139],"ImageNet":[144],"dataset":[145],"for":[146],"image":[147],"classification":[148],"ask.":[150],"O":[151],"ur":[152],"m":[153],"ethod":[154],"utperforms":[156],"he":[158],"baseline":[159],"SENet-34,":[160],"SOTA":[162],"FcaNet-34.":[163],"Our":[164],"code":[165],"implementation":[166],"publicly":[168],"available":[169],"at":[170],"https://github.com/hady1011/WaveNet-C.":[171]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":4}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}