{"id":"https://openalex.org/W4312852287","doi":"https://doi.org/10.1109/ijcnn55064.2022.9892630","title":"Pcwin Transformer: Permuted Channel Window based Attention for Image Classification","display_name":"Pcwin Transformer: Permuted Channel Window based Attention for Image Classification","publication_year":2022,"publication_date":"2022-07-18","ids":{"openalex":"https://openalex.org/W4312852287","doi":"https://doi.org/10.1109/ijcnn55064.2022.9892630"},"language":"en","primary_location":{"id":"doi:10.1109/ijcnn55064.2022.9892630","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn55064.2022.9892630","pdf_url":null,"source":{"id":"https://openalex.org/S4363607707","display_name":"2022 International Joint Conference on Neural Networks (IJCNN)","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 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/A5036622666","display_name":"Shibao Li","orcid":"https://orcid.org/0000-0002-3924-9001"},"institutions":[{"id":"https://openalex.org/I4210162190","display_name":"China University of Petroleum, East China","ror":"https://ror.org/05gbn2817","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210162190"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Shibao Li","raw_affiliation_strings":["China University of Petroleum,Qingdao,China","China University of Petroleum, Qingdao, China"],"affiliations":[{"raw_affiliation_string":"China University of Petroleum,Qingdao,China","institution_ids":["https://openalex.org/I4210162190"]},{"raw_affiliation_string":"China University of Petroleum, Qingdao, China","institution_ids":["https://openalex.org/I4210162190"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100746007","display_name":"Yixuan Liu","orcid":"https://orcid.org/0000-0002-0611-6982"},"institutions":[{"id":"https://openalex.org/I4210162190","display_name":"China University of Petroleum, East China","ror":"https://ror.org/05gbn2817","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210162190"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yixuan Liu","raw_affiliation_strings":["China University of Petroleum,Qingdao,China","China University of Petroleum, Qingdao, China"],"affiliations":[{"raw_affiliation_string":"China University of Petroleum,Qingdao,China","institution_ids":["https://openalex.org/I4210162190"]},{"raw_affiliation_string":"China University of Petroleum, Qingdao, China","institution_ids":["https://openalex.org/I4210162190"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100659515","display_name":"Zhaoyu Wang","orcid":"https://orcid.org/0000-0003-0656-0562"},"institutions":[{"id":"https://openalex.org/I4210162190","display_name":"China University of Petroleum, East China","ror":"https://ror.org/05gbn2817","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210162190"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhaoyu Wang","raw_affiliation_strings":["China University of Petroleum,Qingdao,China","China University of Petroleum, Qingdao, China"],"affiliations":[{"raw_affiliation_string":"China University of Petroleum,Qingdao,China","institution_ids":["https://openalex.org/I4210162190"]},{"raw_affiliation_string":"China University of Petroleum, Qingdao, China","institution_ids":["https://openalex.org/I4210162190"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5013579299","display_name":"Xuerong Cui","orcid":"https://orcid.org/0000-0002-2326-9518"},"institutions":[{"id":"https://openalex.org/I4210162190","display_name":"China University of Petroleum, East China","ror":"https://ror.org/05gbn2817","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210162190"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xuerong Cui","raw_affiliation_strings":["China University of Petroleum,Qingdao,China","China University of Petroleum, Qingdao, China"],"affiliations":[{"raw_affiliation_string":"China University of Petroleum,Qingdao,China","institution_ids":["https://openalex.org/I4210162190"]},{"raw_affiliation_string":"China University of Petroleum, Qingdao, China","institution_ids":["https://openalex.org/I4210162190"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5114514491","display_name":"Yunwu Zhang","orcid":"https://orcid.org/0009-0003-8439-6005"},"institutions":[{"id":"https://openalex.org/I4210162190","display_name":"China University of Petroleum, East China","ror":"https://ror.org/05gbn2817","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210162190"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yunwu Zhang","raw_affiliation_strings":["China University of Petroleum,Qingdao,China","China University of Petroleum, Qingdao, China"],"affiliations":[{"raw_affiliation_string":"China University of Petroleum,Qingdao,China","institution_ids":["https://openalex.org/I4210162190"]},{"raw_affiliation_string":"China University of Petroleum, Qingdao, China","institution_ids":["https://openalex.org/I4210162190"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Zekun Jia","orcid":null},"institutions":[{"id":"https://openalex.org/I4210162190","display_name":"China University of Petroleum, East China","ror":"https://ror.org/05gbn2817","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210162190"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zekun Jia","raw_affiliation_strings":["China University of Petroleum,Qingdao,China","China University of Petroleum, Qingdao, China"],"affiliations":[{"raw_affiliation_string":"China University of Petroleum,Qingdao,China","institution_ids":["https://openalex.org/I4210162190"]},{"raw_affiliation_string":"China University of Petroleum, Qingdao, China","institution_ids":["https://openalex.org/I4210162190"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5060886777","display_name":"Jinze Zhu","orcid":null},"institutions":[{"id":"https://openalex.org/I4210162190","display_name":"China University of Petroleum, East China","ror":"https://ror.org/05gbn2817","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210162190"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jinze Zhu","raw_affiliation_strings":["China University of Petroleum,Qingdao,China","China University of Petroleum, Qingdao, China"],"affiliations":[{"raw_affiliation_string":"China University of Petroleum,Qingdao,China","institution_ids":["https://openalex.org/I4210162190"]},{"raw_affiliation_string":"China University of Petroleum, Qingdao, China","institution_ids":["https://openalex.org/I4210162190"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":7,"corresponding_author_ids":["https://openalex.org/A5036622666"],"corresponding_institution_ids":["https://openalex.org/I4210162190"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.15793583,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"abs 2012 9958","issue":null,"first_page":"1","last_page":"8"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10036","display_name":"Advanced Neural Network Applications","score":0.9998999834060669,"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/T10036","display_name":"Advanced Neural Network Applications","score":0.9998999834060669,"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/T11307","display_name":"Domain Adaptation and Few-Shot Learning","score":0.9993000030517578,"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"}},{"id":"https://openalex.org/T11992","display_name":"CCD and CMOS Imaging Sensors","score":0.9993000030517578,"subfield":{"id":"https://openalex.org/subfields/2208","display_name":"Electrical and Electronic Engineering"},"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/computer-science","display_name":"Computer science","score":0.7848544716835022},{"id":"https://openalex.org/keywords/transformer","display_name":"Transformer","score":0.7306631207466125},{"id":"https://openalex.org/keywords/computational-complexity-theory","display_name":"Computational complexity theory","score":0.6029820442199707},{"id":"https://openalex.org/keywords/channel","display_name":"Channel (broadcasting)","score":0.42335349321365356},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.41751939058303833},{"id":"https://openalex.org/keywords/pixel","display_name":"Pixel","score":0.41147109866142273},{"id":"https://openalex.org/keywords/computer-engineering","display_name":"Computer engineering","score":0.38828250765800476},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.3149867057800293},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.12045302987098694},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.09632465243339539},{"id":"https://openalex.org/keywords/electrical-engineering","display_name":"Electrical engineering","score":0.09009754657745361},{"id":"https://openalex.org/keywords/voltage","display_name":"Voltage","score":0.08730944991111755}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7848544716835022},{"id":"https://openalex.org/C66322947","wikidata":"https://www.wikidata.org/wiki/Q11658","display_name":"Transformer","level":3,"score":0.7306631207466125},{"id":"https://openalex.org/C179799912","wikidata":"https://www.wikidata.org/wiki/Q205084","display_name":"Computational complexity theory","level":2,"score":0.6029820442199707},{"id":"https://openalex.org/C127162648","wikidata":"https://www.wikidata.org/wiki/Q16858953","display_name":"Channel (broadcasting)","level":2,"score":0.42335349321365356},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.41751939058303833},{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.41147109866142273},{"id":"https://openalex.org/C113775141","wikidata":"https://www.wikidata.org/wiki/Q428691","display_name":"Computer engineering","level":1,"score":0.38828250765800476},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3149867057800293},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.12045302987098694},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.09632465243339539},{"id":"https://openalex.org/C119599485","wikidata":"https://www.wikidata.org/wiki/Q43035","display_name":"Electrical engineering","level":1,"score":0.09009754657745361},{"id":"https://openalex.org/C165801399","wikidata":"https://www.wikidata.org/wiki/Q25428","display_name":"Voltage","level":2,"score":0.08730944991111755}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/ijcnn55064.2022.9892630","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn55064.2022.9892630","pdf_url":null,"source":{"id":"https://openalex.org/S4363607707","display_name":"2022 International Joint Conference on Neural Networks (IJCNN)","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 International Joint Conference on Neural Networks (IJCNN)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Industry, innovation and infrastructure","id":"https://metadata.un.org/sdg/9","score":0.41999998688697815}],"awards":[{"id":"https://openalex.org/G6514497247","display_name":null,"funder_award_id":"61972417,61902431","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G7476279217","display_name":null,"funder_award_id":"ZR2020MF005","funder_id":"https://openalex.org/F4320324174","funder_display_name":"Natural Science Foundation of Shandong Province"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320324174","display_name":"Natural Science Foundation of Shandong Province","ror":null}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":63,"referenced_works":["https://openalex.org/W1522301498","https://openalex.org/W1686810756","https://openalex.org/W1861492603","https://openalex.org/W2097117768","https://openalex.org/W2108598243","https://openalex.org/W2194775991","https://openalex.org/W2549139847","https://openalex.org/W2601564443","https://openalex.org/W2884585870","https://openalex.org/W2896457183","https://openalex.org/W2955425717","https://openalex.org/W2963091558","https://openalex.org/W2963420686","https://openalex.org/W2963446712","https://openalex.org/W2964137095","https://openalex.org/W2964231884","https://openalex.org/W2966926453","https://openalex.org/W2982220924","https://openalex.org/W2983446232","https://openalex.org/W3014641072","https://openalex.org/W3015468748","https://openalex.org/W3034429256","https://openalex.org/W3034445277","https://openalex.org/W3034552520","https://openalex.org/W3094502228","https://openalex.org/W3096609285","https://openalex.org/W3114896399","https://openalex.org/W3131500599","https://openalex.org/W3137278571","https://openalex.org/W3137963805","https://openalex.org/W3138516171","https://openalex.org/W3157528469","https://openalex.org/W3168007749","https://openalex.org/W3170874841","https://openalex.org/W3172509117","https://openalex.org/W3177052299","https://openalex.org/W4287391717","https://openalex.org/W4295838474","https://openalex.org/W4297665946","https://openalex.org/W4298395628","https://openalex.org/W4385245566","https://openalex.org/W6631190155","https://openalex.org/W6637373629","https://openalex.org/W6713132643","https://openalex.org/W6739901393","https://openalex.org/W6753412334","https://openalex.org/W6755207826","https://openalex.org/W6762718338","https://openalex.org/W6763367864","https://openalex.org/W6763509872","https://openalex.org/W6767071366","https://openalex.org/W6771626834","https://openalex.org/W6775845032","https://openalex.org/W6776048684","https://openalex.org/W6778485988","https://openalex.org/W6779879114","https://openalex.org/W6784333009","https://openalex.org/W6787826751","https://openalex.org/W6788135285","https://openalex.org/W6788811087","https://openalex.org/W6791705549","https://openalex.org/W6794345597","https://openalex.org/W6796015864"],"related_works":["https://openalex.org/W3135697610","https://openalex.org/W2085033728","https://openalex.org/W4285411112","https://openalex.org/W2171299904","https://openalex.org/W1647606319","https://openalex.org/W2922442631","https://openalex.org/W4390494008","https://openalex.org/W2053596378","https://openalex.org/W2168523118","https://openalex.org/W2073639911"],"abstract_inverted_index":{"The":[0,114,154],"Transformer":[1,12],"is":[2,103],"one":[3],"of":[4,19,27,30,52,93,136],"the":[5,17,24,44,85,107,122,134,137,141,150],"mainstream":[6],"methods":[7],"in":[8,32,112,127],"computer":[9],"vision.":[10],"Most":[11],"based":[13,63],"architectures":[14,126],"focus":[15],"on":[16,140,152],"design":[18],"spatial":[20],"attention":[21,37,102],"and":[22,42,66,148],"optimizing":[23,43],"computational":[25,45,86],"complexity":[26,46,87],"high":[28],"resolution":[29],"pixels":[31],"image":[33,124,146],"but":[34],"pay":[35],"little":[36],"to":[38,72,121],"modeling":[39],"channel":[40,61,75,79,101],"dependencies":[41,76],"associated":[47],"with":[48,129],"a":[49,59,90,96],"large":[50,91],"number":[51,92],"channels.":[53,94],"In":[54],"this":[55],"paper,":[56],"we":[57],"propose":[58],"new":[60,97],"window":[62],"self-attention":[64],"mechanism":[65],"apply":[67],"two":[68],"consecutive":[69],"transformer":[70],"layers":[71],"capture":[73],"global":[74],"through":[77],"permuting":[78],"layer,":[80],"which":[81,105],"can":[82,117],"greatly":[83],"reduce":[84],"caused":[88],"by":[89],"Meanwhile,":[95],"linear":[98],"layer":[99],"for":[100,109,145],"proposed,":[104],"eliminates":[106],"need":[108],"position":[110],"bias":[111],"Transformer.":[113],"proposed":[115,138],"method":[116,139],"be":[118,157],"conveniently":[119],"appended":[120],"existing":[123],"classification":[125,147],"parallel":[128],"minimal":[130],"modification.":[131],"We":[132],"demonstrate":[133],"feasibility":[135],"state-of-the-art":[142],"transformer-based":[143],"architecture":[144],"improve":[149],"results":[151],"ImageNet-1K.":[153],"code":[155],"will":[156],"publicly":[158],"available":[159],"at":[160],"GitHub.":[161]},"counts_by_year":[],"updated_date":"2026-04-21T08:09:41.155169","created_date":"2025-10-10T00:00:00"}