{"id":"https://openalex.org/W3090014782","doi":"https://doi.org/10.1109/iscas45731.2020.9180752","title":"MAM: Mixed Attention Module with Random Disruption Augmentation for Image Classification","display_name":"MAM: Mixed Attention Module with Random Disruption Augmentation for Image Classification","publication_year":2020,"publication_date":"2020-09-29","ids":{"openalex":"https://openalex.org/W3090014782","doi":"https://doi.org/10.1109/iscas45731.2020.9180752","mag":"3090014782"},"language":"en","primary_location":{"id":"doi:10.1109/iscas45731.2020.9180752","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iscas45731.2020.9180752","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 IEEE International Symposium on Circuits and Systems (ISCAS)","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/A5013379082","display_name":"Weiyu Zeng","orcid":"https://orcid.org/0000-0001-6252-2654"},"institutions":[{"id":"https://openalex.org/I50760025","display_name":"Hangzhou Dianzi University","ror":"https://ror.org/0576gt767","country_code":"CN","type":"education","lineage":["https://openalex.org/I50760025"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Weiyu Zeng","raw_affiliation_strings":["Artificial Intelligence Institute, Hangzhou Dianzi University, Hangzhou, 310018, China; Key Lab for IOT and Information Fusion Technology of Zhejiang, Hangzhou Dianzi University, Zhejiang, 310018, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Artificial Intelligence Institute, Hangzhou Dianzi University, Hangzhou, 310018, China; Key Lab for IOT and Information Fusion Technology of Zhejiang, Hangzhou Dianzi University, Zhejiang, 310018, China","institution_ids":["https://openalex.org/I50760025"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5074063024","display_name":"Jiuwen Cao","orcid":"https://orcid.org/0000-0002-6480-5794"},"institutions":[{"id":"https://openalex.org/I50760025","display_name":"Hangzhou Dianzi University","ror":"https://ror.org/0576gt767","country_code":"CN","type":"education","lineage":["https://openalex.org/I50760025"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jiuwen Cao","raw_affiliation_strings":["Artificial Intelligence Institute, Hangzhou Dianzi University, Hangzhou, 310018, China; Key Lab for IOT and Information Fusion Technology of Zhejiang, Hangzhou Dianzi University, Zhejiang, 310018, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Artificial Intelligence Institute, Hangzhou Dianzi University, Hangzhou, 310018, China; Key Lab for IOT and Information Fusion Technology of Zhejiang, Hangzhou Dianzi University, Zhejiang, 310018, China","institution_ids":["https://openalex.org/I50760025"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100387975","display_name":"Jianzhong Wang","orcid":"https://orcid.org/0000-0002-6867-3282"},"institutions":[{"id":"https://openalex.org/I50760025","display_name":"Hangzhou Dianzi University","ror":"https://ror.org/0576gt767","country_code":"CN","type":"education","lineage":["https://openalex.org/I50760025"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jianzhong Wang","raw_affiliation_strings":["Artificial Intelligence Institute, Hangzhou Dianzi University, Hangzhou, 310018, China; Key Lab for IOT and Information Fusion Technology of Zhejiang, Hangzhou Dianzi University, Zhejiang, 310018, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Artificial Intelligence Institute, Hangzhou Dianzi University, Hangzhou, 310018, China; Key Lab for IOT and Information Fusion Technology of Zhejiang, Hangzhou Dianzi University, Zhejiang, 310018, China","institution_ids":["https://openalex.org/I50760025"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5002975495","display_name":"Xiaoping Lai","orcid":"https://orcid.org/0000-0002-5878-5563"},"institutions":[{"id":"https://openalex.org/I50760025","display_name":"Hangzhou Dianzi University","ror":"https://ror.org/0576gt767","country_code":"CN","type":"education","lineage":["https://openalex.org/I50760025"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiaoping Lai","raw_affiliation_strings":["Artificial Intelligence Institute, Hangzhou Dianzi University, Hangzhou, 310018, China; Key Lab for IOT and Information Fusion Technology of Zhejiang, Hangzhou Dianzi University, Zhejiang, 310018, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Artificial Intelligence Institute, Hangzhou Dianzi University, Hangzhou, 310018, China; Key Lab for IOT and Information Fusion Technology of Zhejiang, Hangzhou Dianzi University, Zhejiang, 310018, China","institution_ids":["https://openalex.org/I50760025"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5049506273","display_name":"Zhiping Lin","orcid":"https://orcid.org/0000-0002-1587-1226"},"institutions":[{"id":"https://openalex.org/I172675005","display_name":"Nanyang Technological University","ror":"https://ror.org/02e7b5302","country_code":"SG","type":"education","lineage":["https://openalex.org/I172675005"]}],"countries":["SG"],"is_corresponding":false,"raw_author_name":"Zhiping Lin","raw_affiliation_strings":["School of Electrical and Electronic Engineering, Nanyang Technological University, Singapore 639798","School of Electrical and Electronic Engineering, Nanyang Technological University, Singapore, Singapore"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Electrical and Electronic Engineering, Nanyang Technological University, Singapore 639798","institution_ids":["https://openalex.org/I172675005"]},{"raw_affiliation_string":"School of Electrical and Electronic Engineering, Nanyang Technological University, Singapore, Singapore","institution_ids":["https://openalex.org/I172675005"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":5,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.10542777,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":95},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"5"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11605","display_name":"Visual Attention and Saliency Detection","score":0.9998000264167786,"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/T11605","display_name":"Visual Attention and Saliency Detection","score":0.9998000264167786,"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":0.9993000030517578,"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/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.9993000030517578,"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/computer-science","display_name":"Computer science","score":0.8194277286529541},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6407647132873535},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.6010029911994934},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5799835920333862},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.561995267868042},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.5557043552398682},{"id":"https://openalex.org/keywords/slicing","display_name":"Slicing","score":0.5448926687240601},{"id":"https://openalex.org/keywords/code","display_name":"Code (set theory)","score":0.5441277623176575},{"id":"https://openalex.org/keywords/contextual-image-classification","display_name":"Contextual image classification","score":0.5343883037567139},{"id":"https://openalex.org/keywords/pooling","display_name":"Pooling","score":0.4780864417552948},{"id":"https://openalex.org/keywords/scrambling","display_name":"Scrambling","score":0.47763028740882874},{"id":"https://openalex.org/keywords/source-code","display_name":"Source code","score":0.4712434411048889},{"id":"https://openalex.org/keywords/program-slicing","display_name":"Program slicing","score":0.4582771956920624},{"id":"https://openalex.org/keywords/object","display_name":"Object (grammar)","score":0.43035611510276794},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.14934459328651428}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8194277286529541},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6407647132873535},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.6010029911994934},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5799835920333862},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.561995267868042},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.5557043552398682},{"id":"https://openalex.org/C2776190703","wikidata":"https://www.wikidata.org/wiki/Q488148","display_name":"Slicing","level":2,"score":0.5448926687240601},{"id":"https://openalex.org/C2776760102","wikidata":"https://www.wikidata.org/wiki/Q5139990","display_name":"Code (set theory)","level":3,"score":0.5441277623176575},{"id":"https://openalex.org/C75294576","wikidata":"https://www.wikidata.org/wiki/Q5165192","display_name":"Contextual image classification","level":3,"score":0.5343883037567139},{"id":"https://openalex.org/C70437156","wikidata":"https://www.wikidata.org/wiki/Q7228652","display_name":"Pooling","level":2,"score":0.4780864417552948},{"id":"https://openalex.org/C182548165","wikidata":"https://www.wikidata.org/wiki/Q2261483","display_name":"Scrambling","level":2,"score":0.47763028740882874},{"id":"https://openalex.org/C43126263","wikidata":"https://www.wikidata.org/wiki/Q128751","display_name":"Source code","level":2,"score":0.4712434411048889},{"id":"https://openalex.org/C91071405","wikidata":"https://www.wikidata.org/wiki/Q1413145","display_name":"Program slicing","level":3,"score":0.4582771956920624},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.43035611510276794},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.14934459328651428},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","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},{"id":"https://openalex.org/C13280743","wikidata":"https://www.wikidata.org/wiki/Q131089","display_name":"Geodesy","level":1,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/iscas45731.2020.9180752","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iscas45731.2020.9180752","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 IEEE International Symposium on Circuits and Systems (ISCAS)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":21,"referenced_works":["https://openalex.org/W603908379","https://openalex.org/W1514535095","https://openalex.org/W1709548961","https://openalex.org/W1903029394","https://openalex.org/W2163605009","https://openalex.org/W2194775991","https://openalex.org/W2335728318","https://openalex.org/W2752782242","https://openalex.org/W2802581042","https://openalex.org/W2884585870","https://openalex.org/W2949194345","https://openalex.org/W2963420686","https://openalex.org/W2963446712","https://openalex.org/W2963495494","https://openalex.org/W6618372016","https://openalex.org/W6630875275","https://openalex.org/W6637616945","https://openalex.org/W6684191040","https://openalex.org/W6703116779","https://openalex.org/W6898611122","https://openalex.org/W6973559833"],"related_works":["https://openalex.org/W2134982133","https://openalex.org/W1964336761","https://openalex.org/W2991905743","https://openalex.org/W4239953224","https://openalex.org/W2112395437","https://openalex.org/W4302024603","https://openalex.org/W2347708239","https://openalex.org/W2170816480","https://openalex.org/W1595405651","https://openalex.org/W2011854888"],"abstract_inverted_index":{"Visual":[0],"attention":[1,41,47,79],"mechanism":[2,42],"extracts":[3],"features":[4,24,112],"by":[5,67,97],"establishing":[6],"a":[7,38,77,85,151],"mask":[8],"branch":[9],"characterizing":[10],"the":[11,19,27,45,68,71,91,107,111,114,118,127,133,144,147],"distribution":[12],"regions":[13],"we":[14,36],"are":[15,140],"interested":[16],"in.":[17],"With":[18],"thought":[20],"that":[21],"eliminating":[22],"useless":[23],"helps":[25],"in":[26,33],"process":[28],"of":[29,53,117,126,146],"extracting":[30],"significant":[31,55],"features,":[32],"this":[34],"paper":[35],"design":[37],"novel":[39],"visual":[40],"structure":[43],"called":[44],"mixed":[46,78],"module":[48],"(MAM),":[49],"which":[50],"is":[51,74,95],"capable":[52],"distilling":[54],"patterns":[56],"as":[57,59],"well":[58],"suppressing":[60],"unimportant":[61],"features.":[62],"The":[63,124],"generic":[64],"MAM":[65,128],"constructed":[66],"min-pooling":[69],"and":[70,101,113,129],"tanh":[72],"function":[73],"embedded":[75],"into":[76],"network":[80],"for":[81],"image":[82,87,100,134],"classification.":[83],"Moreover,":[84],"new":[86],"enhancement":[88],"method":[89],"named":[90],"random":[92],"disruption":[93],"(RandomDisrupt)":[94],"developed":[96],"slicing":[98],"an":[99],"then":[102],"scrambling":[103],"it.":[104],"RandomDisrupt":[105,130],"destroys":[106],"positional":[108],"information":[109,116],"between":[110],"structural":[115],"object":[119],"to":[120,142],"accomplish":[121],"data":[122],"augmentation.":[123],"combination":[125],"has":[131],"improved":[132],"classification":[135],"performance":[136],"significantly.":[137],"Benchmark":[138],"experiments":[139],"conducted":[141],"show":[143],"superiority":[145],"proposed":[148],"algorithm":[149],"over":[150],"state-of-the-art":[152],"method.":[153],"Source":[154],"code":[155],"would":[156],"be":[157],"available":[158],"at":[159],"https://github.com/weiyu-zeng/MAM.":[160]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
