{"id":"https://openalex.org/W3160173571","doi":"https://doi.org/10.1109/icpr48806.2021.9411997","title":"Region-based Non-local Operation for Video Classification","display_name":"Region-based Non-local Operation for Video Classification","publication_year":2021,"publication_date":"2021-01-10","ids":{"openalex":"https://openalex.org/W3160173571","doi":"https://doi.org/10.1109/icpr48806.2021.9411997","mag":"3160173571"},"language":"en","primary_location":{"id":"doi:10.1109/icpr48806.2021.9411997","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icpr48806.2021.9411997","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 25th International Conference on Pattern Recognition (ICPR)","raw_type":"proceedings-article"},"type":"conference-paper","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/A5063460572","display_name":"Guoxi Huang","orcid":"https://orcid.org/0000-0002-8481-0232"},"institutions":[{"id":"https://openalex.org/I52099693","display_name":"University of York","ror":"https://ror.org/04m01e293","country_code":"GB","type":"education","lineage":["https://openalex.org/I52099693"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Guoxi Huang","raw_affiliation_strings":["University of York, York, UK"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of York, York, UK","institution_ids":["https://openalex.org/I52099693"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5002932489","display_name":"Adrian G. Bor\u015f","orcid":"https://orcid.org/0000-0001-7838-0021"},"institutions":[{"id":"https://openalex.org/I52099693","display_name":"University of York","ror":"https://ror.org/04m01e293","country_code":"GB","type":"education","lineage":["https://openalex.org/I52099693"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Adrian G. Bors","raw_affiliation_strings":["University of York, York, UK"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of York, York, UK","institution_ids":["https://openalex.org/I52099693"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I52099693"],"apc_list":null,"apc_paid":null,"fwci":1.0503,"has_fulltext":false,"cited_by_count":11,"citation_normalized_percentile":{"value":0.84940913,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":99},"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10812","display_name":"Human Pose and Action Recognition","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/T10812","display_name":"Human Pose and Action Recognition","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/T10531","display_name":"Advanced Vision and Imaging","score":0.9994999766349792,"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":0.9994000196456909,"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":0.6887041926383972},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.43534091114997864},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.3644883632659912}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6887041926383972},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.43534091114997864},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.3644883632659912}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icpr48806.2021.9411997","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icpr48806.2021.9411997","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 25th International Conference on Pattern Recognition (ICPR)","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":61,"referenced_works":["https://openalex.org/W1522734439","https://openalex.org/W1586730761","https://openalex.org/W1686810756","https://openalex.org/W1836465849","https://openalex.org/W1923404803","https://openalex.org/W1947481528","https://openalex.org/W2064675550","https://openalex.org/W2097073572","https://openalex.org/W2097117768","https://openalex.org/W2108598243","https://openalex.org/W2133564696","https://openalex.org/W2156303437","https://openalex.org/W2163605009","https://openalex.org/W2194775991","https://openalex.org/W2507009361","https://openalex.org/W2549139847","https://openalex.org/W2618530766","https://openalex.org/W2625366777","https://openalex.org/W2752782242","https://openalex.org/W2806331055","https://openalex.org/W2883429621","https://openalex.org/W2884585870","https://openalex.org/W2889814224","https://openalex.org/W2948048211","https://openalex.org/W2951183276","https://openalex.org/W2955425717","https://openalex.org/W2963091558","https://openalex.org/W2963163009","https://openalex.org/W2963246338","https://openalex.org/W2963266682","https://openalex.org/W2963403868","https://openalex.org/W2963420686","https://openalex.org/W2963446712","https://openalex.org/W2963495494","https://openalex.org/W2963524571","https://openalex.org/W2963820951","https://openalex.org/W2964308564","https://openalex.org/W2964350391","https://openalex.org/W2982220924","https://openalex.org/W2984287396","https://openalex.org/W2990152177","https://openalex.org/W2990503944","https://openalex.org/W3015218717","https://openalex.org/W3034572008","https://openalex.org/W3034600407","https://openalex.org/W4385245566","https://openalex.org/W6637373629","https://openalex.org/W6638667902","https://openalex.org/W6679434410","https://openalex.org/W6682864246","https://openalex.org/W6694260854","https://openalex.org/W6724944384","https://openalex.org/W6739901393","https://openalex.org/W6749781174","https://openalex.org/W6751936687","https://openalex.org/W6752764193","https://openalex.org/W6753412334","https://openalex.org/W6754416387","https://openalex.org/W6762718338","https://openalex.org/W6763256578","https://openalex.org/W6773914189"],"related_works":["https://openalex.org/W2755342338","https://openalex.org/W2058170566","https://openalex.org/W2036807459","https://openalex.org/W2775347418","https://openalex.org/W1969923398","https://openalex.org/W2166024367","https://openalex.org/W2772917594","https://openalex.org/W3116076068","https://openalex.org/W2229312674","https://openalex.org/W2079911747"],"abstract_inverted_index":{"Convolutional":[0],"Neural":[1],"Networks":[2],"(CNNs)":[3],"model":[4],"long-range":[5,38],"dependencies":[6,39],"by":[7,61],"deeply":[8],"stacking":[9],"convolution":[10],"operations":[11,27],"with":[12,78],"small":[13],"window":[14],"sizes,":[15],"which":[16,34,87],"makes":[17],"the":[18,56,63,66,79,92,123],"optimizations":[19],"difficult.":[20],"This":[21],"paper":[22],"presents":[23],"region-based":[24],"non-local":[25],"(RNL)":[26],"as":[28],"a":[29,42,59,74],"family":[30],"of":[31,45,69,110],"self-attention":[32],"mechanisms,":[33,116],"can":[35,88],"directly":[36],"capture":[37],"without":[40],"using":[41],"deep":[43],"stack":[44],"local":[46],"operations.":[47],"Given":[48],"an":[49,84],"intermediate":[50],"feature":[51,57],"map,":[52],"our":[53,100,111],"method":[54,101,112],"recalibrates":[55],"at":[58],"position":[60],"aggregating":[62],"information":[64],"from":[65],"neighboring":[67],"regions":[68],"all":[70],"positions.":[71],"By":[72],"combining":[73],"channel":[75],"attention":[76,85,115],"module":[77],"proposed":[80],"RNL,":[81],"we":[82,118],"design":[83],"chain,":[86],"be":[89],"integrated":[90],"into":[91],"off-the-shelf":[93],"CNNs":[94],"for":[95],"end-to-end":[96],"training.":[97],"We":[98],"evaluate":[99],"on":[102,122],"two":[103],"video":[104],"classification":[105],"benchmarks.":[106],"The":[107,127],"experimental":[108],"results":[109],"outperform":[113],"other":[114],"and":[117],"achieve":[119],"state-of-the-art":[120],"performance":[121],"Something-Something":[124],"V1":[125],"dataset.":[126],"code":[128],"is":[129],"available":[130],"at:":[131],"https://github.com/guoxih/region-based-non-local-network.":[132]},"counts_by_year":[{"year":2024,"cited_by_count":2},{"year":2022,"cited_by_count":8},{"year":2021,"cited_by_count":1}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}