{"id":"https://openalex.org/W2121707160","doi":"https://doi.org/10.1109/tpami.2014.2353631","title":"Generalized Sparselet Models for Real-Time Multiclass Object Recognition","display_name":"Generalized Sparselet Models for Real-Time Multiclass Object Recognition","publication_year":2014,"publication_date":"2014-09-08","ids":{"openalex":"https://openalex.org/W2121707160","doi":"https://doi.org/10.1109/tpami.2014.2353631","mag":"2121707160","pmid":"https://pubmed.ncbi.nlm.nih.gov/26353324"},"language":"en","primary_location":{"id":"doi:10.1109/tpami.2014.2353631","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tpami.2014.2353631","pdf_url":null,"source":{"id":"https://openalex.org/S199944782","display_name":"IEEE Transactions on Pattern Analysis and Machine Intelligence","issn_l":"0162-8828","issn":["0162-8828","1939-3539","2160-9292"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320439","host_organization_name":"IEEE Computer Society","host_organization_lineage":["https://openalex.org/P4310320439","https://openalex.org/P4310319808"],"host_organization_lineage_names":["IEEE Computer Society","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 Pattern Analysis and Machine Intelligence","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","pubmed"],"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/A5085451600","display_name":"Hyun Oh Song","orcid":null},"institutions":[{"id":"https://openalex.org/I95457486","display_name":"University of California, Berkeley","ror":"https://ror.org/01an7q238","country_code":"US","type":"education","lineage":["https://openalex.org/I95457486"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Hyun Oh Song","raw_affiliation_strings":["Department of Electrical Engineering and Computer Science, University of California at Berkeley, Berkeley, CA","Department of Electrical Engineering and Computer Science., University of California at Berkeley, Berkeley, CA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering and Computer Science, University of California at Berkeley, Berkeley, CA","institution_ids":["https://openalex.org/I95457486"]},{"raw_affiliation_string":"Department of Electrical Engineering and Computer Science., University of California at Berkeley, Berkeley, CA","institution_ids":["https://openalex.org/I95457486"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5049246408","display_name":"Ross Girshick","orcid":null},"institutions":[{"id":"https://openalex.org/I95457486","display_name":"University of California, Berkeley","ror":"https://ror.org/01an7q238","country_code":"US","type":"education","lineage":["https://openalex.org/I95457486"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Ross Girshick","raw_affiliation_strings":["Department of Electrical Engineering and Computer Science, University of California at Berkeley, Berkeley, CA","Department of Electrical Engineering and Computer Science., University of California at Berkeley, Berkeley, CA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering and Computer Science, University of California at Berkeley, Berkeley, CA","institution_ids":["https://openalex.org/I95457486"]},{"raw_affiliation_string":"Department of Electrical Engineering and Computer Science., University of California at Berkeley, Berkeley, CA","institution_ids":["https://openalex.org/I95457486"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5017982658","display_name":"Stefan Zickler","orcid":null},"institutions":[{"id":"https://openalex.org/I138423393","display_name":"iRobot (United States)","ror":"https://ror.org/02ex4jy25","country_code":"US","type":"company","lineage":["https://openalex.org/I138423393"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Stefan Zickler","raw_affiliation_strings":["iRobot, Bedford, MA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"iRobot, Bedford, MA","institution_ids":["https://openalex.org/I138423393"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5058071755","display_name":"Christopher Geyer","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Christopher Geyer","raw_affiliation_strings":["Berkshire Grey Inc, Boston, MA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Berkshire Grey Inc, Boston, MA","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5023765219","display_name":"Pedro F. Felzenszwalb","orcid":null},"institutions":[{"id":"https://openalex.org/I27804330","display_name":"Brown University","ror":"https://ror.org/05gq02987","country_code":"US","type":"education","lineage":["https://openalex.org/I27804330"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Pedro Felzenszwalb","raw_affiliation_strings":["Department of Engineering and Computer Science, Brown University, Providence, RI"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Engineering and Computer Science, Brown University, Providence, RI","institution_ids":["https://openalex.org/I27804330"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5029105520","display_name":"Trevor Darrell","orcid":"https://orcid.org/0000-0001-5453-8533"},"institutions":[{"id":"https://openalex.org/I95457486","display_name":"University of California, Berkeley","ror":"https://ror.org/01an7q238","country_code":"US","type":"education","lineage":["https://openalex.org/I95457486"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Trevor Darrell","raw_affiliation_strings":["Department of Electrical Engineering and Computer Science, University of California at Berkeley, Berkeley, CA","Department of Electrical Engineering and Computer Science., University of California at Berkeley, Berkeley, CA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering and Computer Science, University of California at Berkeley, Berkeley, CA","institution_ids":["https://openalex.org/I95457486"]},{"raw_affiliation_string":"Department of Electrical Engineering and Computer Science., University of California at Berkeley, Berkeley, CA","institution_ids":["https://openalex.org/I95457486"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":2.1834,"has_fulltext":false,"cited_by_count":23,"citation_normalized_percentile":{"value":0.90626317,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":"37","issue":"5","first_page":"1001","last_page":"1012"},"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/T11307","display_name":"Domain Adaptation and Few-Shot Learning","score":0.9998000264167786,"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/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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7806236743927002},{"id":"https://openalex.org/keywords/pascal","display_name":"Pascal (unit)","score":0.7143531441688538},{"id":"https://openalex.org/keywords/cognitive-neuroscience-of-visual-object-recognition","display_name":"Cognitive neuroscience of visual object recognition","score":0.7094146013259888},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6833511590957642},{"id":"https://openalex.org/keywords/bottleneck","display_name":"Bottleneck","score":0.6178317666053772},{"id":"https://openalex.org/keywords/inference","display_name":"Inference","score":0.5786783695220947},{"id":"https://openalex.org/keywords/laptop","display_name":"Laptop","score":0.5394817590713501},{"id":"https://openalex.org/keywords/object-detection","display_name":"Object detection","score":0.5352436304092407},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5188868641853333},{"id":"https://openalex.org/keywords/object","display_name":"Object (grammar)","score":0.5135376453399658},{"id":"https://openalex.org/keywords/multiclass-classification","display_name":"Multiclass classification","score":0.5089833736419678},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.49199816584587097},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.47491535544395447},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.20139983296394348}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7806236743927002},{"id":"https://openalex.org/C75608658","wikidata":"https://www.wikidata.org/wiki/Q44395","display_name":"Pascal (unit)","level":2,"score":0.7143531441688538},{"id":"https://openalex.org/C64876066","wikidata":"https://www.wikidata.org/wiki/Q5141226","display_name":"Cognitive neuroscience of visual object recognition","level":3,"score":0.7094146013259888},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6833511590957642},{"id":"https://openalex.org/C2780513914","wikidata":"https://www.wikidata.org/wiki/Q18210350","display_name":"Bottleneck","level":2,"score":0.6178317666053772},{"id":"https://openalex.org/C2776214188","wikidata":"https://www.wikidata.org/wiki/Q408386","display_name":"Inference","level":2,"score":0.5786783695220947},{"id":"https://openalex.org/C2780008327","wikidata":"https://www.wikidata.org/wiki/Q3962","display_name":"Laptop","level":2,"score":0.5394817590713501},{"id":"https://openalex.org/C2776151529","wikidata":"https://www.wikidata.org/wiki/Q3045304","display_name":"Object detection","level":3,"score":0.5352436304092407},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5188868641853333},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.5135376453399658},{"id":"https://openalex.org/C123860398","wikidata":"https://www.wikidata.org/wiki/Q6934605","display_name":"Multiclass classification","level":3,"score":0.5089833736419678},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.49199816584587097},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.47491535544395447},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.20139983296394348},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","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},{"id":"https://openalex.org/C187736073","wikidata":"https://www.wikidata.org/wiki/Q2920921","display_name":"Management","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/C149635348","wikidata":"https://www.wikidata.org/wiki/Q193040","display_name":"Embedded system","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/tpami.2014.2353631","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tpami.2014.2353631","pdf_url":null,"source":{"id":"https://openalex.org/S199944782","display_name":"IEEE Transactions on Pattern Analysis and Machine Intelligence","issn_l":"0162-8828","issn":["0162-8828","1939-3539","2160-9292"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320439","host_organization_name":"IEEE Computer Society","host_organization_lineage":["https://openalex.org/P4310320439","https://openalex.org/P4310319808"],"host_organization_lineage_names":["IEEE Computer Society","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 Pattern Analysis and Machine Intelligence","raw_type":"journal-article"},{"id":"pmid:26353324","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/26353324","pdf_url":null,"source":{"id":"https://openalex.org/S4306525036","display_name":"PubMed","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE transactions on pattern analysis and machine intelligence","raw_type":null}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G3007768250","display_name":null,"funder_award_id":"IIS-0819984","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G5918736719","display_name":null,"funder_award_id":"IIS-0905647","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G6469071026","display_name":null,"funder_award_id":"IIS-0746569","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G8973224968","display_name":null,"funder_award_id":"W911NF-10-2-0059","funder_id":"https://openalex.org/F4320332180","funder_display_name":"Defense Advanced Research Projects Agency"}],"funders":[{"id":"https://openalex.org/F4320306076","display_name":"National Science Foundation","ror":"https://ror.org/021nxhr62"},{"id":"https://openalex.org/F4320309327","display_name":"Google","ror":"https://ror.org/00njsd438"},{"id":"https://openalex.org/F4320309370","display_name":"University of Pennsylvania","ror":"https://ror.org/00b30xv10"},{"id":"https://openalex.org/F4320322622","display_name":"Toyota Motor Corporation","ror":"https://ror.org/02zqm6r10"},{"id":"https://openalex.org/F4320332180","display_name":"Defense Advanced Research Projects Agency","ror":"https://ror.org/02caytj08"},{"id":"https://openalex.org/F4320332195","display_name":"Samsung","ror":"https://ror.org/04w3jy968"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":40,"referenced_works":["https://openalex.org/W1481552826","https://openalex.org/W1566474797","https://openalex.org/W1576445103","https://openalex.org/W1787735662","https://openalex.org/W1832221731","https://openalex.org/W1959000896","https://openalex.org/W1968933322","https://openalex.org/W1991605728","https://openalex.org/W2005876975","https://openalex.org/W2036989445","https://openalex.org/W2045762391","https://openalex.org/W2066941820","https://openalex.org/W2105644991","https://openalex.org/W2105842272","https://openalex.org/W2108598243","https://openalex.org/W2108704430","https://openalex.org/W2109235804","https://openalex.org/W2115733720","https://openalex.org/W2122825543","https://openalex.org/W2135046866","https://openalex.org/W2139432235","https://openalex.org/W2142940228","https://openalex.org/W2145857003","https://openalex.org/W2151693816","https://openalex.org/W2153185908","https://openalex.org/W2159680539","https://openalex.org/W2161969291","https://openalex.org/W2163112044","https://openalex.org/W2163198669","https://openalex.org/W2168356304","https://openalex.org/W2535410496","https://openalex.org/W2616657226","https://openalex.org/W6628850223","https://openalex.org/W6638354598","https://openalex.org/W6675760969","https://openalex.org/W6675783020","https://openalex.org/W6676297131","https://openalex.org/W6680579697","https://openalex.org/W6682473505","https://openalex.org/W7014377463"],"related_works":["https://openalex.org/W2595172197","https://openalex.org/W3153292769","https://openalex.org/W2045444909","https://openalex.org/W2084856301","https://openalex.org/W2127970246","https://openalex.org/W1516398359","https://openalex.org/W1901656956","https://openalex.org/W2990805456","https://openalex.org/W2885125400","https://openalex.org/W1989889224"],"abstract_inverted_index":{"The":[0],"problem":[1],"of":[2,8,92,99],"real-time":[3,33],"multiclass":[4,34],"object":[5,13,35,72],"recognition":[6,73],"is":[7,56,66,79],"great":[9],"practical":[10],"importance":[11],"in":[12,51,58,80],"recognition.":[14],"In":[15],"this":[16],"paper,":[17],"we":[18],"describe":[19],"a":[20,44],"framework":[21,55],"that":[22],"simultaneously":[23],"utilizes":[24],"shared":[25],"representation,":[26],"reconstruction":[27],"sparsity,":[28],"and":[29,65,89,102],"parallelism":[30],"to":[31],"enable":[32],"detection":[36],"with":[37,47],"deformable":[38],"part":[39],"models":[40],"at":[41],"5Hz":[42],"on":[43,95],"laptop":[45],"computer":[46],"almost":[48],"no":[49],"decrease":[50],"task":[52,90],"performance.":[53],"Our":[54],"trained":[57],"the":[59,76,87],"standard":[60],"structured":[61],"output":[62],"prediction":[63],"formulation":[64],"generically":[67],"applicable":[68],"for":[69],"speeding":[70],"up":[71],"systems":[74],"where":[75],"computational":[77],"bottleneck":[78],"multiclass,":[81],"multi-convolutional":[82],"inference.":[83],"We":[84],"experimentally":[85],"demonstrate":[86],"efficiency":[88],"performance":[91],"our":[93],"method":[94],"PASCAL":[96],"VOC,":[97],"subset":[98],"ImageNet,":[100],"Caltech101":[101],"Caltech256":[103],"dataset.":[104]},"counts_by_year":[{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":5},{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":2},{"year":2018,"cited_by_count":3},{"year":2017,"cited_by_count":4},{"year":2016,"cited_by_count":4},{"year":2015,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}