{"id":"https://openalex.org/W3015276760","doi":"https://doi.org/10.1109/icassp40776.2020.9053478","title":"Multi-Scale Residual Network for Image Classification","display_name":"Multi-Scale Residual Network for Image Classification","publication_year":2020,"publication_date":"2020-04-09","ids":{"openalex":"https://openalex.org/W3015276760","doi":"https://doi.org/10.1109/icassp40776.2020.9053478","mag":"3015276760"},"language":"en","primary_location":{"id":"doi:10.1109/icassp40776.2020.9053478","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp40776.2020.9053478","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ICASSP 2020 - 2020 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","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/A5064738683","display_name":"Xian Zhong","orcid":"https://orcid.org/0000-0002-5242-0467"},"institutions":[{"id":"https://openalex.org/I196699116","display_name":"Wuhan University of Technology","ror":"https://ror.org/03fe7t173","country_code":"CN","type":"education","lineage":["https://openalex.org/I196699116"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Xian Zhong","raw_affiliation_strings":["School of Computer Science and Technology, Wuhan University of Technology, China"],"affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology, Wuhan University of Technology, China","institution_ids":["https://openalex.org/I196699116"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5056760596","display_name":"Oubo Gong","orcid":null},"institutions":[{"id":"https://openalex.org/I196699116","display_name":"Wuhan University of Technology","ror":"https://ror.org/03fe7t173","country_code":"CN","type":"education","lineage":["https://openalex.org/I196699116"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Oubo Gong","raw_affiliation_strings":["School of Computer Science and Technology, Wuhan University of Technology, China"],"affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology, Wuhan University of Technology, China","institution_ids":["https://openalex.org/I196699116"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101949151","display_name":"Wenxin Huang","orcid":"https://orcid.org/0000-0001-8683-7327"},"institutions":[{"id":"https://openalex.org/I196699116","display_name":"Wuhan University of Technology","ror":"https://ror.org/03fe7t173","country_code":"CN","type":"education","lineage":["https://openalex.org/I196699116"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wenxin Huang","raw_affiliation_strings":["School of Computer Science and Technology, Wuhan University of Technology, China"],"affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology, Wuhan University of Technology, China","institution_ids":["https://openalex.org/I196699116"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5062853168","display_name":"Jingling Yuan","orcid":"https://orcid.org/0000-0001-7924-8620"},"institutions":[{"id":"https://openalex.org/I196699116","display_name":"Wuhan University of Technology","ror":"https://ror.org/03fe7t173","country_code":"CN","type":"education","lineage":["https://openalex.org/I196699116"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jingling Yuan","raw_affiliation_strings":["School of Computer Science and Technology, Wuhan University of Technology, China"],"affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology, Wuhan University of Technology, China","institution_ids":["https://openalex.org/I196699116"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102026182","display_name":"Bo Ma","orcid":"https://orcid.org/0000-0001-5637-0703"},"institutions":[{"id":"https://openalex.org/I33213144","display_name":"University of Florida","ror":"https://ror.org/02y3ad647","country_code":"US","type":"education","lineage":["https://openalex.org/I33213144"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Bo Ma","raw_affiliation_strings":["Dept of Computer & Information Science & Engineering, University of Florida, USA"],"affiliations":[{"raw_affiliation_string":"Dept of Computer & Information Science & Engineering, University of Florida, USA","institution_ids":["https://openalex.org/I33213144"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5061907283","display_name":"Ryan Wen Liu","orcid":"https://orcid.org/0000-0002-1591-5583"},"institutions":[{"id":"https://openalex.org/I196699116","display_name":"Wuhan University of Technology","ror":"https://ror.org/03fe7t173","country_code":"CN","type":"education","lineage":["https://openalex.org/I196699116"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ryan Wen Liu","raw_affiliation_strings":["Hubei Key Laboratory of Transportation Internet of Things, Wuhan University of Technology, China"],"affiliations":[{"raw_affiliation_string":"Hubei Key Laboratory of Transportation Internet of Things, Wuhan University of Technology, China","institution_ids":["https://openalex.org/I196699116"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5064738683"],"corresponding_institution_ids":["https://openalex.org/I196699116"],"apc_list":null,"apc_paid":null,"fwci":0.3908,"has_fulltext":false,"cited_by_count":8,"citation_normalized_percentile":{"value":0.60265847,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"2023","last_page":"2027"},"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/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.9997000098228455,"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":0.9991000294685364,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7799626588821411},{"id":"https://openalex.org/keywords/scale","display_name":"Scale (ratio)","score":0.7176768779754639},{"id":"https://openalex.org/keywords/residual","display_name":"Residual","score":0.7009660005569458},{"id":"https://openalex.org/keywords/convolution","display_name":"Convolution (computer science)","score":0.6894510388374329},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.6846718192100525},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.6675208806991577},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.605355978012085},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.5810574889183044},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5629178881645203},{"id":"https://openalex.org/keywords/contextual-image-classification","display_name":"Contextual image classification","score":0.518096387386322},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.43331044912338257},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.4196096360683441},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.4137202501296997},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.14292392134666443},{"id":"https://openalex.org/keywords/cartography","display_name":"Cartography","score":0.06901296973228455},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.06628480553627014}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7799626588821411},{"id":"https://openalex.org/C2778755073","wikidata":"https://www.wikidata.org/wiki/Q10858537","display_name":"Scale (ratio)","level":2,"score":0.7176768779754639},{"id":"https://openalex.org/C155512373","wikidata":"https://www.wikidata.org/wiki/Q287450","display_name":"Residual","level":2,"score":0.7009660005569458},{"id":"https://openalex.org/C45347329","wikidata":"https://www.wikidata.org/wiki/Q5166604","display_name":"Convolution (computer science)","level":3,"score":0.6894510388374329},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.6846718192100525},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.6675208806991577},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.605355978012085},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.5810574889183044},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5629178881645203},{"id":"https://openalex.org/C75294576","wikidata":"https://www.wikidata.org/wiki/Q5165192","display_name":"Contextual image classification","level":3,"score":0.518096387386322},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.43331044912338257},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.4196096360683441},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.4137202501296997},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.14292392134666443},{"id":"https://openalex.org/C58640448","wikidata":"https://www.wikidata.org/wiki/Q42515","display_name":"Cartography","level":1,"score":0.06901296973228455},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.06628480553627014},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icassp40776.2020.9053478","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp40776.2020.9053478","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ICASSP 2020 - 2020 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":34,"referenced_works":["https://openalex.org/W1522301498","https://openalex.org/W1677182931","https://openalex.org/W1686810756","https://openalex.org/W1836465849","https://openalex.org/W2097117768","https://openalex.org/W2194775991","https://openalex.org/W2302255633","https://openalex.org/W2331143823","https://openalex.org/W2395611524","https://openalex.org/W2408279554","https://openalex.org/W2531409750","https://openalex.org/W2549139847","https://openalex.org/W2565639579","https://openalex.org/W2593043963","https://openalex.org/W2612445135","https://openalex.org/W2618530766","https://openalex.org/W2752782242","https://openalex.org/W2778955544","https://openalex.org/W2922509574","https://openalex.org/W2928165649","https://openalex.org/W2949117887","https://openalex.org/W2963125010","https://openalex.org/W2963446712","https://openalex.org/W2964137095","https://openalex.org/W2971221568","https://openalex.org/W2988396473","https://openalex.org/W4297775537","https://openalex.org/W6631190155","https://openalex.org/W6637373629","https://openalex.org/W6713132643","https://openalex.org/W6714181750","https://openalex.org/W6734072688","https://openalex.org/W6737664043","https://openalex.org/W6780493881"],"related_works":["https://openalex.org/W2990636717","https://openalex.org/W2964954556","https://openalex.org/W2911497689","https://openalex.org/W2952813363","https://openalex.org/W4360783045","https://openalex.org/W2963346891","https://openalex.org/W3176438653","https://openalex.org/W2770149305","https://openalex.org/W3167930666","https://openalex.org/W3014952856"],"abstract_inverted_index":{"Multi-scale":[0],"approach":[1],"representing":[2],"image":[3,17],"objects":[4],"at":[5],"various":[6,12],"levels-of-details":[7],"has":[8],"been":[9],"applied":[10],"to":[11,64],"computer":[13],"vision":[14],"tasks.":[15],"Existing":[16],"classification":[18],"approaches":[19],"place":[20],"more":[21],"emphasis":[22],"on":[23,89],"multi-scale":[24,29,57],"convolution":[25],"kernels,":[26],"and":[27,92],"overlook":[28],"feature":[30,58],"maps.":[31],"As":[32],"such,":[33],"some":[34],"shallower":[35],"information":[36,63,81],"of":[37,60,68,79,99],"the":[38,50,61,65,77,80,83,97],"network":[39],"will":[40],"not":[41],"be":[42],"fully":[43],"utilized.":[44],"In":[45],"this":[46],"paper,":[47],"we":[48],"propose":[49],"Multi-Scale":[51],"Residual":[52],"(MSR)":[53],"module":[54],"that":[55],"integrates":[56],"maps":[59],"underlying":[62],"last":[66],"layer":[67],"Convolutional":[69],"Neural":[70],"Network.":[71],"Our":[72],"proposed":[73],"method":[74,101],"significantly":[75],"enhances":[76],"characteristics":[78],"in":[82],"final":[84],"classification.":[85],"Extensive":[86],"experiments":[87],"conducted":[88],"CIFAR100,":[90],"Tiny-ImageNet":[91],"large-scale":[93],"CalTech-256":[94],"datasets":[95],"demonstrate":[96],"effectiveness":[98],"our":[100],"compared":[102],"with":[103],"Res-Family.":[104]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":3},{"year":2021,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
