{"id":"https://openalex.org/W2258484932","doi":"https://doi.org/10.1109/tcsvt.2015.2511543","title":"Hybrid CNN and Dictionary-Based Models for Scene Recognition and Domain Adaptation","display_name":"Hybrid CNN and Dictionary-Based Models for Scene Recognition and Domain Adaptation","publication_year":2015,"publication_date":"2015-12-22","ids":{"openalex":"https://openalex.org/W2258484932","doi":"https://doi.org/10.1109/tcsvt.2015.2511543","mag":"2258484932"},"language":"en","primary_location":{"id":"doi:10.1109/tcsvt.2015.2511543","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tcsvt.2015.2511543","pdf_url":null,"source":{"id":"https://openalex.org/S115173108","display_name":"IEEE Transactions on Circuits and Systems for Video Technology","issn_l":"1051-8215","issn":["1051-8215","1558-2205"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Circuits and Systems for Video Technology","raw_type":"journal-article"},"type":"article","indexed_in":["arxiv","crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/1601.07977","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5084688255","display_name":"Guo-Sen Xie","orcid":"https://orcid.org/0000-0002-5487-9845"},"institutions":[{"id":"https://openalex.org/I4210112150","display_name":"Institute of Automation","ror":"https://ror.org/022c3hy66","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210112150"]},{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"funder","lineage":["https://openalex.org/I19820366"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Guo-Sen Xie","raw_affiliation_strings":["National Laboratory of Pattern Recognition, Institute of Automation, Chinese Academy of Sciences, Beijing, China"],"affiliations":[{"raw_affiliation_string":"National Laboratory of Pattern Recognition, Institute of Automation, Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I4210112150","https://openalex.org/I19820366"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5082548671","display_name":"Xu-Yao Zhang","orcid":"https://orcid.org/0000-0001-9260-188X"},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"funder","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I4210112150","display_name":"Institute of Automation","ror":"https://ror.org/022c3hy66","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210112150"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xu-Yao Zhang","raw_affiliation_strings":["National Laboratory of Pattern Recognition, Institute of Automation, Chinese Academy of Sciences, Beijing, China"],"affiliations":[{"raw_affiliation_string":"National Laboratory of Pattern Recognition, Institute of Automation, Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I4210112150","https://openalex.org/I19820366"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100381753","display_name":"Shuicheng Yan","orcid":"https://orcid.org/0000-0001-8906-3777"},"institutions":[{"id":"https://openalex.org/I165932596","display_name":"National University of Singapore","ror":"https://ror.org/01tgyzw49","country_code":"SG","type":"education","lineage":["https://openalex.org/I165932596"]}],"countries":["SG"],"is_corresponding":false,"raw_author_name":"Shuicheng Yan","raw_affiliation_strings":["Department of Electrical and Computer Engineering, National University of Singapore, Singapore"],"affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, National University of Singapore, Singapore","institution_ids":["https://openalex.org/I165932596"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100714202","display_name":"Cheng\u2010Lin Liu","orcid":"https://orcid.org/0000-0002-6743-4175"},"institutions":[{"id":"https://openalex.org/I4210112150","display_name":"Institute of Automation","ror":"https://ror.org/022c3hy66","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210112150"]},{"id":"https://openalex.org/I4210097554","display_name":"Center for Excellence in Brain Science and Intelligence Technology","ror":"https://ror.org/00vpwhm04","country_code":"CN","type":"education","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210097554"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Cheng-Lin Liu","raw_affiliation_strings":["Research Center for Brain-Inspired Intelligence, Institute of Automation, and the CAS Center for Excellence in Brain Science and Intelligence Technology, Institute of Automation, CAS, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Research Center for Brain-Inspired Intelligence, Institute of Automation, and the CAS Center for Excellence in Brain Science and Intelligence Technology, Institute of Automation, CAS, Beijing, China","institution_ids":["https://openalex.org/I4210097554","https://openalex.org/I4210112150"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5084688255"],"corresponding_institution_ids":["https://openalex.org/I19820366","https://openalex.org/I4210112150"],"apc_list":null,"apc_paid":null,"fwci":7.2947,"has_fulltext":false,"cited_by_count":172,"citation_normalized_percentile":{"value":0.98090124,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":96,"max":100},"biblio":{"volume":"27","issue":"6","first_page":"1263","last_page":"1274"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10627","display_name":"Advanced Image and Video Retrieval Techniques","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"}},"topics":[{"id":"https://openalex.org/T10627","display_name":"Advanced Image and Video Retrieval Techniques","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/T11307","display_name":"Domain Adaptation and Few-Shot Learning","score":0.9983000159263611,"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/T10036","display_name":"Advanced Neural Network Applications","score":0.9969000220298767,"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":0.7541050910949707},{"id":"https://openalex.org/keywords/domain-adaptation","display_name":"Domain adaptation","score":0.6864408850669861},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6407071948051453},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5553643703460693},{"id":"https://openalex.org/keywords/adaptation","display_name":"Adaptation (eye)","score":0.4750537872314453},{"id":"https://openalex.org/keywords/domain","display_name":"Domain (mathematical analysis)","score":0.44873955845832825},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.4076573848724365},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.4065437316894531},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.13059332966804504},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.10638710856437683}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7541050910949707},{"id":"https://openalex.org/C2776434776","wikidata":"https://www.wikidata.org/wiki/Q19246213","display_name":"Domain adaptation","level":3,"score":0.6864408850669861},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6407071948051453},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5553643703460693},{"id":"https://openalex.org/C139807058","wikidata":"https://www.wikidata.org/wiki/Q352374","display_name":"Adaptation (eye)","level":2,"score":0.4750537872314453},{"id":"https://openalex.org/C36503486","wikidata":"https://www.wikidata.org/wiki/Q11235244","display_name":"Domain (mathematical analysis)","level":2,"score":0.44873955845832825},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.4076573848724365},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.4065437316894531},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.13059332966804504},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.10638710856437683},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/tcsvt.2015.2511543","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tcsvt.2015.2511543","pdf_url":null,"source":{"id":"https://openalex.org/S115173108","display_name":"IEEE Transactions on Circuits and Systems for Video Technology","issn_l":"1051-8215","issn":["1051-8215","1558-2205"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Circuits and Systems for Video Technology","raw_type":"journal-article"},{"id":"pmh:oai:arXiv.org:1601.07977","is_oa":true,"landing_page_url":"http://arxiv.org/abs/1601.07977","pdf_url":"https://arxiv.org/pdf/1601.07977","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"}],"best_oa_location":{"id":"pmh:oai:arXiv.org:1601.07977","is_oa":true,"landing_page_url":"http://arxiv.org/abs/1601.07977","pdf_url":"https://arxiv.org/pdf/1601.07977","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},"sustainable_development_goals":[{"score":0.7200000286102295,"display_name":"Reduced inequalities","id":"https://metadata.un.org/sdg/10"}],"awards":[{"id":"https://openalex.org/G1055928765","display_name":null,"funder_award_id":"2012CB316302","funder_id":"https://openalex.org/F4320335777","funder_display_name":"National Key Research and Development Program of China"},{"id":"https://openalex.org/G504223401","display_name":null,"funder_award_id":"XDA06040102","funder_id":"https://openalex.org/F4320321133","funder_display_name":"Chinese Academy of Sciences"},{"id":"https://openalex.org/G6344653205","display_name":null,"funder_award_id":"61403380","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320321133","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35"},{"id":"https://openalex.org/F4320335777","display_name":"National Key Research and Development Program of China","ror":null}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":118,"referenced_works":["https://openalex.org/W7746136","https://openalex.org/W99353449","https://openalex.org/W166142785","https://openalex.org/W209511213","https://openalex.org/W280294731","https://openalex.org/W315880484","https://openalex.org/W1482080565","https://openalex.org/W1524680991","https://openalex.org/W1551774182","https://openalex.org/W1565327149","https://openalex.org/W1590510366","https://openalex.org/W1606858007","https://openalex.org/W1677182931","https://openalex.org/W1686810756","https://openalex.org/W1722318740","https://openalex.org/W1758727174","https://openalex.org/W1836465849","https://openalex.org/W1903029394","https://openalex.org/W1909952827","https://openalex.org/W1923697677","https://openalex.org/W1923967535","https://openalex.org/W1945608308","https://openalex.org/W1966385142","https://openalex.org/W1991367009","https://openalex.org/W2010181071","https://openalex.org/W2012592962","https://openalex.org/W2017814585","https://openalex.org/W2024197741","https://openalex.org/W2027922120","https://openalex.org/W2033832873","https://openalex.org/W2041823554","https://openalex.org/W2055132753","https://openalex.org/W2060477745","https://openalex.org/W2062118960","https://openalex.org/W2070792803","https://openalex.org/W2084716923","https://openalex.org/W2087164515","https://openalex.org/W2088049833","https://openalex.org/W2097018403","https://openalex.org/W2097117768","https://openalex.org/W2099528205","https://openalex.org/W2101350717","https://openalex.org/W2102605133","https://openalex.org/W2104068492","https://openalex.org/W2106409489","https://openalex.org/W2107698128","https://openalex.org/W2112796928","https://openalex.org/W2113855951","https://openalex.org/W2115628259","https://openalex.org/W2118585731","https://openalex.org/W2119853387","https://openalex.org/W2123099218","https://openalex.org/W2127242687","https://openalex.org/W2128053425","https://openalex.org/W2134670479","https://openalex.org/W2139468722","https://openalex.org/W2147238549","https://openalex.org/W2149466042","https://openalex.org/W2149933564","https://openalex.org/W2151259137","https://openalex.org/W2151800797","https://openalex.org/W2152161678","https://openalex.org/W2155541015","https://openalex.org/W2158815628","https://openalex.org/W2159291411","https://openalex.org/W2161160262","https://openalex.org/W2162741153","https://openalex.org/W2162915993","https://openalex.org/W2163605009","https://openalex.org/W2164943005","https://openalex.org/W2169177311","https://openalex.org/W2169488311","https://openalex.org/W2186639548","https://openalex.org/W2216949779","https://openalex.org/W2401216818","https://openalex.org/W2408403800","https://openalex.org/W2618530766","https://openalex.org/W2951670162","https://openalex.org/W2962835968","https://openalex.org/W2963168418","https://openalex.org/W4232730838","https://openalex.org/W4250737575","https://openalex.org/W4285719527","https://openalex.org/W4294375521","https://openalex.org/W4299518610","https://openalex.org/W4308909683","https://openalex.org/W6600313631","https://openalex.org/W6604084611","https://openalex.org/W6606748308","https://openalex.org/W6607361319","https://openalex.org/W6610111499","https://openalex.org/W6610784610","https://openalex.org/W6631498818","https://openalex.org/W6633090903","https://openalex.org/W6635258101","https://openalex.org/W6636412649","https://openalex.org/W6637373629","https://openalex.org/W6637542466","https://openalex.org/W6637792421","https://openalex.org/W6638667902","https://openalex.org/W6640295612","https://openalex.org/W6640412524","https://openalex.org/W6653248861","https://openalex.org/W6674642818","https://openalex.org/W6674920064","https://openalex.org/W6677322961","https://openalex.org/W6677656871","https://openalex.org/W6678144016","https://openalex.org/W6679792166","https://openalex.org/W6681637710","https://openalex.org/W6682132143","https://openalex.org/W6682139812","https://openalex.org/W6683401423","https://openalex.org/W6684191040","https://openalex.org/W6685048874","https://openalex.org/W6686604231","https://openalex.org/W6713072775","https://openalex.org/W6714081862"],"related_works":["https://openalex.org/W4394775207","https://openalex.org/W4389474468","https://openalex.org/W4300172004","https://openalex.org/W3203792196","https://openalex.org/W4321649381","https://openalex.org/W2997645659","https://openalex.org/W3180787869","https://openalex.org/W2955455867","https://openalex.org/W4295929828","https://openalex.org/W3156096827"],"abstract_inverted_index":{"Convolutional":[0],"neural":[1],"network":[2],"(CNN)":[3],"has":[4],"achieved":[5,231],"the":[6,30,43,69,74,98,140,168,176,203,211,218,222,226],"state-of-the-art":[7,227],"performance":[8,228],"in":[9,68,76],"many":[10],"different":[11,40],"visual":[12,91],"tasks.":[13],"Learned":[14],"from":[15],"a":[16,143,159,162,186],"large-scale":[17],"training":[18,193],"data":[19],"set,":[20],"CNN":[21,34,83,100,219],"features":[22,35,48,220],"are":[23,36,110],"much":[24,57],"more":[25,58],"discriminative":[26,60],"and":[27,52,61,90,104,118,134,188,217,235],"accurate":[28],"than":[29],"handcrafted":[31],"features.":[32],"Moreover,":[33],"also":[37,254],"transferable":[38],"among":[39],"domains.":[41],"On":[42],"other":[44],"hand,":[45],"traditional":[46],"dictionary-based":[47,85,108],"(such":[49],"as":[50],"BoW":[51],"spatial":[53,133],"pyramid":[54],"matching)":[55],"contain":[56],"local":[59,115],"structural":[62],"information,":[63],"which":[64],"is":[65,155,171,195,241,253],"implicitly":[66],"embedded":[67],"images.":[70],"To":[71],"further":[72,111],"improve":[73],"performance,":[75],"this":[77],"paper,":[78],"we":[79],"propose":[80],"to":[81,157,173,197,256],"combine":[82],"with":[84,175],"models":[86,101],"for":[87,180],"scene":[88,233],"recognition":[89,234],"domain":[92],"adaptation":[93],"(DA).":[94],"Specifically,":[95],"based":[96,201],"on":[97,139,202,232,251,261],"well-tuned":[99],"(e.g.,":[102],"AlexNet":[103],"VGG":[105,248],"Net),":[106],"two":[107],"representations":[109],"constructed,":[112],"namely,":[113],"mid-level":[114,182],"representation":[116,246],"(MLR)":[117],"convolutional":[119,205],"Fisher":[120,199],"vector":[121],"(CFV)":[122],"representation.":[123,183],"In":[124,184],"MLR,":[125,215],"an":[126],"efficient":[127],"two-stage":[128],"clustering":[129,138,148],"method,":[130],"i.e.,":[131],"weighted":[132],"feature":[135],"space":[136],"spectral":[137],"parts":[141,151],"of":[142,152,207,214,221],"single":[144],"image":[145,178],"followed":[146],"by":[147],"all":[149,153],"representative":[150],"images,":[154],"used":[156,172],"generate":[158,198],"class-mixture":[160],"or":[161],"class-specific":[163],"part":[164,169],"dictionary.":[165],"After":[166],"that,":[167],"dictionary":[170],"operate":[174],"multiscale":[177,187],"inputs":[179],"generating":[181],"CFV,":[185,216],"scale-proportional":[189],"Gaussian":[190],"mixture":[191],"model":[192],"strategy":[194],"utilized":[196],"vectors":[200],"last":[204],"layer":[206],"CNN.":[208],"By":[209],"integrating":[210],"complementary":[212,255],"information":[213],"fully":[223],"connected":[224],"layer,":[225],"can":[229],"be":[230],"DA":[236],"problems.":[237],"An":[238],"interested":[239],"finding":[240],"that":[242],"our":[243],"proposed":[244],"hybrid":[245],"(from":[247],"net":[249],"trained":[250],"ImageNet)":[252],"GoogLeNet":[257],"and/or":[258],"VGG-11":[259],"(trained":[260],"Place205)":[262],"greatly.":[263]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":8},{"year":2024,"cited_by_count":12},{"year":2023,"cited_by_count":14},{"year":2022,"cited_by_count":27},{"year":2021,"cited_by_count":20},{"year":2020,"cited_by_count":26},{"year":2019,"cited_by_count":25},{"year":2018,"cited_by_count":18},{"year":2017,"cited_by_count":17},{"year":2016,"cited_by_count":4}],"updated_date":"2026-04-04T16:13:02.066488","created_date":"2016-06-24T00:00:00"}
