{"id":"https://openalex.org/W2580164915","doi":"https://doi.org/10.1007/s00138-017-0871-1","title":"Scale coding bag of deep features for human attribute and action recognition","display_name":"Scale coding bag of deep features for human attribute and action recognition","publication_year":2017,"publication_date":"2017-09-11","ids":{"openalex":"https://openalex.org/W2580164915","doi":"https://doi.org/10.1007/s00138-017-0871-1","mag":"2580164915"},"language":"en","primary_location":{"id":"doi:10.1007/s00138-017-0871-1","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s00138-017-0871-1","pdf_url":"https://link.springer.com/content/pdf/10.1007%2Fs00138-017-0871-1.pdf","source":{"id":"https://openalex.org/S27728525","display_name":"Machine Vision and Applications","issn_l":"0932-8092","issn":["0932-8092","1432-1769"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Machine Vision and Applications","raw_type":"journal-article"},"type":"article","indexed_in":["arxiv","crossref"],"open_access":{"is_oa":true,"oa_status":"hybrid","oa_url":"https://link.springer.com/content/pdf/10.1007%2Fs00138-017-0871-1.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":null,"display_name":"Fahad Shahbaz Khan","orcid":null},"institutions":[{"id":"https://openalex.org/I102134673","display_name":"Link\u00f6ping University","ror":"https://ror.org/05ynxx418","country_code":"SE","type":"education","lineage":["https://openalex.org/I102134673"]}],"countries":["SE"],"is_corresponding":true,"raw_author_name":"Fahad Shahbaz Khan","raw_affiliation_strings":["Computer Vision Laboratory, Link\u00f6ping University, Link\u00f6ping, Sweden"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Computer Vision Laboratory, Link\u00f6ping University, Link\u00f6ping, Sweden","institution_ids":["https://openalex.org/I102134673"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Joost van de Weijer","orcid":null},"institutions":[{"id":"https://openalex.org/I123044942","display_name":"Universitat Aut\u00f2noma de Barcelona","ror":"https://ror.org/052g8jq94","country_code":"ES","type":"education","lineage":["https://openalex.org/I123044942"]}],"countries":["ES"],"is_corresponding":false,"raw_author_name":"Joost van de Weijer","raw_affiliation_strings":["Computer Vision Centre Barcelona, Universitat Autonoma de Barcelona, Bellaterra, Spain"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Computer Vision Centre Barcelona, Universitat Autonoma de Barcelona, Bellaterra, Spain","institution_ids":["https://openalex.org/I123044942"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Rao Muhammad Anwer","orcid":null},"institutions":[{"id":"https://openalex.org/I9927081","display_name":"Aalto University","ror":"https://ror.org/020hwjq30","country_code":"FI","type":"education","lineage":["https://openalex.org/I9927081"]}],"countries":["FI"],"is_corresponding":false,"raw_author_name":"Rao Muhammad Anwer","raw_affiliation_strings":["Department of Computer Science, Aalto University School of Science, Espoo, Finland"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science, Aalto University School of Science, Espoo, Finland","institution_ids":["https://openalex.org/I9927081"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Andrew D. Bagdanov","orcid":null},"institutions":[{"id":"https://openalex.org/I45084792","display_name":"University of Florence","ror":"https://ror.org/04jr1s763","country_code":"IT","type":"education","lineage":["https://openalex.org/I45084792"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Andrew D. Bagdanov","raw_affiliation_strings":["Media Integration and Communication Center, University of Florence, Florence, Italy"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Media Integration and Communication Center, University of Florence, Florence, Italy","institution_ids":["https://openalex.org/I45084792"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Michael Felsberg","orcid":null},"institutions":[{"id":"https://openalex.org/I102134673","display_name":"Link\u00f6ping University","ror":"https://ror.org/05ynxx418","country_code":"SE","type":"education","lineage":["https://openalex.org/I102134673"]}],"countries":["SE"],"is_corresponding":false,"raw_author_name":"Michael Felsberg","raw_affiliation_strings":["Computer Vision Laboratory, Link\u00f6ping University, Link\u00f6ping, Sweden"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Computer Vision Laboratory, Link\u00f6ping University, Link\u00f6ping, Sweden","institution_ids":["https://openalex.org/I102134673"]}]},{"author_position":"last","author":{"id":null,"display_name":"Jorma Laaksonen","orcid":null},"institutions":[{"id":"https://openalex.org/I9927081","display_name":"Aalto University","ror":"https://ror.org/020hwjq30","country_code":"FI","type":"education","lineage":["https://openalex.org/I9927081"]}],"countries":["FI"],"is_corresponding":false,"raw_author_name":"Jorma Laaksonen","raw_affiliation_strings":["Department of Computer Science, Aalto University School of Science, Espoo, Finland"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science, Aalto University School of Science, Espoo, Finland","institution_ids":["https://openalex.org/I9927081"]}]}],"institutions":[],"countries_distinct_count":4,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I102134673"],"apc_list":{"value":3090,"currency":"USD","value_usd":3090},"apc_paid":{"value":3090,"currency":"USD","value_usd":3090},"fwci":1.4006,"has_fulltext":true,"cited_by_count":25,"citation_normalized_percentile":{"value":0.86125434,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":99},"biblio":{"volume":"29","issue":"1","first_page":"55","last_page":"71"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10812","display_name":"Human Pose and Action Recognition","score":0.9645000100135803,"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":0.9645000100135803,"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":0.004100000020116568,"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/T12740","display_name":"Gait Recognition and Analysis","score":0.0027000000700354576,"subfield":{"id":"https://openalex.org/subfields/2204","display_name":"Biomedical 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/encode","display_name":"ENCODE","score":0.715499997138977},{"id":"https://openalex.org/keywords/pascal","display_name":"Pascal (unit)","score":0.7095999717712402},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.6563000082969666},{"id":"https://openalex.org/keywords/coding","display_name":"Coding (social sciences)","score":0.6523000001907349},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.6121000051498413},{"id":"https://openalex.org/keywords/neural-coding","display_name":"Neural coding","score":0.5532000064849854},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.45100000500679016},{"id":"https://openalex.org/keywords/encoding","display_name":"Encoding (memory)","score":0.3978999853134155}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7458999752998352},{"id":"https://openalex.org/C66746571","wikidata":"https://www.wikidata.org/wiki/Q1134833","display_name":"ENCODE","level":3,"score":0.715499997138977},{"id":"https://openalex.org/C75608658","wikidata":"https://www.wikidata.org/wiki/Q44395","display_name":"Pascal (unit)","level":2,"score":0.7095999717712402},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6639000177383423},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.6563000082969666},{"id":"https://openalex.org/C179518139","wikidata":"https://www.wikidata.org/wiki/Q5140297","display_name":"Coding (social sciences)","level":2,"score":0.6523000001907349},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.6121000051498413},{"id":"https://openalex.org/C77637269","wikidata":"https://www.wikidata.org/wiki/Q7002051","display_name":"Neural coding","level":2,"score":0.5532000064849854},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.45100000500679016},{"id":"https://openalex.org/C125411270","wikidata":"https://www.wikidata.org/wiki/Q18653","display_name":"Encoding (memory)","level":2,"score":0.3978999853134155},{"id":"https://openalex.org/C2987834672","wikidata":"https://www.wikidata.org/wiki/Q4677630","display_name":"Action recognition","level":3,"score":0.3953000009059906},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.3944000005722046},{"id":"https://openalex.org/C97931131","wikidata":"https://www.wikidata.org/wiki/Q5282087","display_name":"Discriminative model","level":2,"score":0.38609999418258667},{"id":"https://openalex.org/C2778755073","wikidata":"https://www.wikidata.org/wiki/Q10858537","display_name":"Scale (ratio)","level":2,"score":0.3481000065803528},{"id":"https://openalex.org/C53533937","wikidata":"https://www.wikidata.org/wiki/Q185020","display_name":"Histogram","level":3,"score":0.34599998593330383},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.3416000008583069},{"id":"https://openalex.org/C75294576","wikidata":"https://www.wikidata.org/wiki/Q5165192","display_name":"Contextual image classification","level":3,"score":0.325300008058548},{"id":"https://openalex.org/C2776151529","wikidata":"https://www.wikidata.org/wiki/Q3045304","display_name":"Object detection","level":3,"score":0.3095000088214874},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.30169999599456787},{"id":"https://openalex.org/C2984842247","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep neural networks","level":3,"score":0.29739999771118164},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.2971999943256378},{"id":"https://openalex.org/C167611913","wikidata":"https://www.wikidata.org/wiki/Q6884747","display_name":"Bag-of-words model in computer vision","level":5,"score":0.2858000099658966}],"mesh":[],"locations_count":5,"locations":[{"id":"doi:10.1007/s00138-017-0871-1","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s00138-017-0871-1","pdf_url":"https://link.springer.com/content/pdf/10.1007%2Fs00138-017-0871-1.pdf","source":{"id":"https://openalex.org/S27728525","display_name":"Machine Vision and Applications","issn_l":"0932-8092","issn":["0932-8092","1432-1769"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Machine Vision and Applications","raw_type":"journal-article"},{"id":"pmh:oai:arXiv.org:1612.04884","is_oa":true,"landing_page_url":"http://arxiv.org/abs/1612.04884","pdf_url":"https://arxiv.org/pdf/1612.04884","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"},{"id":"pmh:oai:DiVA.org:liu-144448","is_oa":true,"landing_page_url":"http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-144448","pdf_url":null,"source":{"id":"https://openalex.org/S4306401559","display_name":"KTH Publication Database DiVA (KTH Royal Institute of Technology)","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":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"info:eu-repo/semantics/article"},{"id":"pmh:oai:aaltodoc.aalto.fi:123456789/28208","is_oa":true,"landing_page_url":"https://aaltodoc.aalto.fi/handle/123456789/28208","pdf_url":null,"source":{"id":"https://openalex.org/S4306401662","display_name":"Aaltodoc (Aalto University)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I9927081","host_organization_name":"Aalto University","host_organization_lineage":["https://openalex.org/I9927081"],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"info:eu-repo/semantics/article"},{"id":"pmh:oai:flore.unifi.it:2158/1101451","is_oa":true,"landing_page_url":"http://hdl.handle.net/2158/1101451","pdf_url":null,"source":{"id":"https://openalex.org/S4306402033","display_name":"Florence Research (University of Florence)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I45084792","host_organization_name":"University of Florence","host_organization_lineage":["https://openalex.org/I45084792"],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"info:eu-repo/semantics/article"}],"best_oa_location":{"id":"doi:10.1007/s00138-017-0871-1","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s00138-017-0871-1","pdf_url":"https://link.springer.com/content/pdf/10.1007%2Fs00138-017-0871-1.pdf","source":{"id":"https://openalex.org/S27728525","display_name":"Machine Vision and Applications","issn_l":"0932-8092","issn":["0932-8092","1432-1769"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Machine Vision and Applications","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G4244604461","display_name":"Multimodal Multilingual Continuous Representation for Human Language Understanding","funder_award_id":"ANR-15-CHR2-0006","funder_id":"https://openalex.org/F4320320883","funder_display_name":"Agence Nationale de la Recherche"},{"id":"https://openalex.org/G4249896723","display_name":null,"funder_award_id":"251170","funder_id":"https://openalex.org/F4320321108","funder_display_name":"Academy of Finland"}],"funders":[{"id":"https://openalex.org/F4320309480","display_name":"Nvidia","ror":"https://ror.org/03jdj4y14"},{"id":"https://openalex.org/F4320320883","display_name":"Agence Nationale de la Recherche","ror":"https://ror.org/00rbzpz17"},{"id":"https://openalex.org/F4320321040","display_name":"National Science Council","ror":"https://ror.org/02kv4zf79"},{"id":"https://openalex.org/F4320321108","display_name":"Academy of Finland","ror":"https://ror.org/05k73zm37"},{"id":"https://openalex.org/F4320321394","display_name":"Aalto-Yliopisto","ror":"https://ror.org/020hwjq30"},{"id":"https://openalex.org/F4320322225","display_name":"Link\u00f6pings Universitet","ror":"https://ror.org/05ynxx418"}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2580164915.pdf","grobid_xml":"https://content.openalex.org/works/W2580164915.grobid-xml"},"referenced_works_count":55,"referenced_works":["https://openalex.org/W33977162","https://openalex.org/W300523764","https://openalex.org/W1524680991","https://openalex.org/W1551774182","https://openalex.org/W1606858007","https://openalex.org/W1909952827","https://openalex.org/W1960777822","https://openalex.org/W1966385142","https://openalex.org/W1976921161","https://openalex.org/W2012592962","https://openalex.org/W2014788385","https://openalex.org/W2016171122","https://openalex.org/W2022735534","https://openalex.org/W2031489346","https://openalex.org/W2038052836","https://openalex.org/W2038765747","https://openalex.org/W2048931426","https://openalex.org/W2066941820","https://openalex.org/W2072477074","https://openalex.org/W2076035429","https://openalex.org/W2088866137","https://openalex.org/W2095288130","https://openalex.org/W2102605133","https://openalex.org/W2102734144","https://openalex.org/W2104657103","https://openalex.org/W2109494908","https://openalex.org/W2116084929","https://openalex.org/W2117103983","https://openalex.org/W2117539524","https://openalex.org/W2125574651","https://openalex.org/W2128560777","https://openalex.org/W2129933262","https://openalex.org/W2129947832","https://openalex.org/W2132068907","https://openalex.org/W2139132812","https://openalex.org/W2147238549","https://openalex.org/W2147414309","https://openalex.org/W2151103935","https://openalex.org/W2152161678","https://openalex.org/W2155490028","https://openalex.org/W2161381512","https://openalex.org/W2161969291","https://openalex.org/W2162762921","https://openalex.org/W2162915993","https://openalex.org/W2167146493","https://openalex.org/W2169852119","https://openalex.org/W2171896402","https://openalex.org/W2172188317","https://openalex.org/W2244122599","https://openalex.org/W2475223347","https://openalex.org/W2519653692","https://openalex.org/W2534457893","https://openalex.org/W2538008885","https://openalex.org/W2963173190","https://openalex.org/W6601301457"],"related_works":[],"abstract_inverted_index":{"Most":[0],"approaches":[1,73,138,158],"to":[2,74,99,164],"human":[3],"attribute":[4],"and":[5,33,71,127,144],"action":[6],"recognition":[7],"in":[8,16,31,104],"still":[9],"images":[10],"are":[11,21,45,55,69],"based":[12,38],"on":[13,39,116],"image":[14,67,92,107],"representation":[15],"which":[17],"multi-scale":[18,52,87,101],"local":[19,43],"features":[20,44,54,82,148,162],"pooled":[22,56],"across":[23],"scale":[24,75,113,136,156],"into":[25,57],"a":[26,58,78],"single,":[27],"scale-invariant":[28,60,66,142],"encoding.":[29],"Both":[30],"bag-of-words":[32],"the":[34,91,105,134,141,145,150,168,171],"recently":[35],"popular":[36],"representations":[37,68],"convolutional":[40,53],"neural":[41],"networks,":[42],"computed":[46],"at":[47],"multiple":[48],"scales.":[49],"However,":[50],"these":[51],"single":[59],"representation.":[61,108],"We":[62,95,109],"argue":[63],"that":[64],"entirely":[65],"sub-optimal":[70],"investigate":[72],"coding":[76,114,137,157],"within":[77],"bag":[79],"of":[80,149,170],"deep":[81,147,161],"framework.":[83],"Our":[84],"approach":[85],"encodes":[86],"information":[88,102],"explicitly":[89,103],"during":[90],"encoding":[93],"stage.":[94],"propose":[96],"two":[97,112],"strategies":[98],"encode":[100],"final":[106],"validate":[110],"our":[111,155],"techniques":[115],"five":[117],"datasets:":[118],"Willow,":[119],"PASCAL":[120,123],"VOC":[121,124],"2010,":[122],"2012,":[125],"Stanford-40":[126],"Human":[128],"Attributes":[129],"(HAT-27).":[130],"On":[131],"all":[132],"datasets,":[133],"proposed":[135],"outperform":[139],"both":[140],"method":[143],"standard":[146,160],"same":[151],"network.":[152],"Further,":[153],"combining":[154],"with":[159],"leads":[163],"consistent":[165],"improvement":[166],"over":[167],"state":[169],"art.":[172]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":3},{"year":2021,"cited_by_count":6},{"year":2020,"cited_by_count":9},{"year":2019,"cited_by_count":2},{"year":2018,"cited_by_count":1},{"year":2017,"cited_by_count":1}],"updated_date":"2026-07-23T08:03:31.855105","created_date":"2017-02-03T00:00:00"}
