{"id":"https://openalex.org/W1930392762","doi":"https://doi.org/10.1109/cvpr.2015.7298921","title":"An active search strategy for efficient object class detection","display_name":"An active search strategy for efficient object class detection","publication_year":2015,"publication_date":"2015-06-01","ids":{"openalex":"https://openalex.org/W1930392762","doi":"https://doi.org/10.1109/cvpr.2015.7298921","mag":"1930392762"},"language":"en","primary_location":{"id":"doi:10.1109/cvpr.2015.7298921","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cvpr.2015.7298921","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://www.research.ed.ac.uk/en/publications/a3cb3b14-bd36-4f45-8349-01133ef56ef2","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5110227209","display_name":"Abel Gonzalez-Garcia","orcid":null},"institutions":[{"id":"https://openalex.org/I98677209","display_name":"University of Edinburgh","ror":"https://ror.org/01nrxwf90","country_code":"GB","type":"education","lineage":["https://openalex.org/I98677209"]}],"countries":["GB"],"is_corresponding":true,"raw_author_name":"Abel Gonzalez-Garcia","raw_affiliation_strings":["University of Edinburgh","University of Edinburgh (UK)"],"affiliations":[{"raw_affiliation_string":"University of Edinburgh","institution_ids":["https://openalex.org/I98677209"]},{"raw_affiliation_string":"University of Edinburgh (UK)","institution_ids":["https://openalex.org/I98677209"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5019603588","display_name":"Alexander Vezhnevets","orcid":null},"institutions":[{"id":"https://openalex.org/I98677209","display_name":"University of Edinburgh","ror":"https://ror.org/01nrxwf90","country_code":"GB","type":"education","lineage":["https://openalex.org/I98677209"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Alexander Vezhnevets","raw_affiliation_strings":["University of Edinburgh","University of Edinburgh (UK)"],"affiliations":[{"raw_affiliation_string":"University of Edinburgh","institution_ids":["https://openalex.org/I98677209"]},{"raw_affiliation_string":"University of Edinburgh (UK)","institution_ids":["https://openalex.org/I98677209"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101423778","display_name":"Vittorio Ferrari","orcid":"https://orcid.org/0000-0002-1942-233X"},"institutions":[{"id":"https://openalex.org/I98677209","display_name":"University of Edinburgh","ror":"https://ror.org/01nrxwf90","country_code":"GB","type":"education","lineage":["https://openalex.org/I98677209"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Vittorio Ferrari","raw_affiliation_strings":["University of Edinburgh","University of Edinburgh (UK)"],"affiliations":[{"raw_affiliation_string":"University of Edinburgh","institution_ids":["https://openalex.org/I98677209"]},{"raw_affiliation_string":"University of Edinburgh (UK)","institution_ids":["https://openalex.org/I98677209"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5110227209"],"corresponding_institution_ids":["https://openalex.org/I98677209"],"apc_list":null,"apc_paid":null,"fwci":7.9161,"has_fulltext":false,"cited_by_count":68,"citation_normalized_percentile":{"value":0.9828649,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":100},"biblio":{"volume":null,"issue":null,"first_page":"3022","last_page":"3031"},"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":0.9997000098228455,"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"}},"topics":[{"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/T10036","display_name":"Advanced Neural Network Applications","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/T10331","display_name":"Video Surveillance and Tracking Methods","score":0.9993000030517578,"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":0.756898045539856},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.744682252407074},{"id":"https://openalex.org/keywords/exploit","display_name":"Exploit","score":0.7356698513031006},{"id":"https://openalex.org/keywords/object-detection","display_name":"Object detection","score":0.6353720426559448},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6115784049034119},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.48433220386505127},{"id":"https://openalex.org/keywords/random-forest","display_name":"Random forest","score":0.4296721816062927},{"id":"https://openalex.org/keywords/sliding-window-protocol","display_name":"Sliding window protocol","score":0.42889130115509033},{"id":"https://openalex.org/keywords/window","display_name":"Window (computing)","score":0.42242181301116943},{"id":"https://openalex.org/keywords/jump","display_name":"Jump","score":0.41433292627334595},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.35125911235809326},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.33831387758255005},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.32956743240356445}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.756898045539856},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.744682252407074},{"id":"https://openalex.org/C165696696","wikidata":"https://www.wikidata.org/wiki/Q11287","display_name":"Exploit","level":2,"score":0.7356698513031006},{"id":"https://openalex.org/C2776151529","wikidata":"https://www.wikidata.org/wiki/Q3045304","display_name":"Object detection","level":3,"score":0.6353720426559448},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6115784049034119},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.48433220386505127},{"id":"https://openalex.org/C169258074","wikidata":"https://www.wikidata.org/wiki/Q245748","display_name":"Random forest","level":2,"score":0.4296721816062927},{"id":"https://openalex.org/C102392041","wikidata":"https://www.wikidata.org/wiki/Q592860","display_name":"Sliding window protocol","level":3,"score":0.42889130115509033},{"id":"https://openalex.org/C2778751112","wikidata":"https://www.wikidata.org/wiki/Q835016","display_name":"Window (computing)","level":2,"score":0.42242181301116943},{"id":"https://openalex.org/C2780695682","wikidata":"https://www.wikidata.org/wiki/Q4005959","display_name":"Jump","level":2,"score":0.41433292627334595},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.35125911235809326},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.33831387758255005},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.32956743240356445},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","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},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1109/cvpr.2015.7298921","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cvpr.2015.7298921","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)","raw_type":"proceedings-article"},{"id":"pmh:oai:pure.ed.ac.uk:openaire/a3cb3b14-bd36-4f45-8349-01133ef56ef2","is_oa":true,"landing_page_url":"https://www.research.ed.ac.uk/en/publications/a3cb3b14-bd36-4f45-8349-01133ef56ef2","pdf_url":null,"source":{"id":"https://openalex.org/S4306400321","display_name":"Edinburgh Research Explorer (University of Edinburgh)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I98677209","host_organization_name":"University of Edinburgh","host_organization_lineage":["https://openalex.org/I98677209"],"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":"Gonzalez-Garcia, A, Vezhnevets, A & Ferrari, V 2015, An active search strategy for efficient object class detection. in Computer Vision and Pattern Recognition (CVPR), 2015 IEEE Conference on. Institute of Electrical and Electronics Engineers, pp. 3022-3031. https://doi.org/10.1109/CVPR.2015.7298921","raw_type":"contributionToPeriodical"},{"id":"pmh:oai:pure.ed.ac.uk:publications/a3cb3b14-bd36-4f45-8349-01133ef56ef2","is_oa":false,"landing_page_url":"http://ieeexplore.ieee.org/xpl/articleDetails.jsp?arnumber=7298921","pdf_url":null,"source":{"id":"https://openalex.org/S4406922455","display_name":"Edinburgh Research Explorer","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":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":""}],"best_oa_location":{"id":"pmh:oai:pure.ed.ac.uk:openaire/a3cb3b14-bd36-4f45-8349-01133ef56ef2","is_oa":true,"landing_page_url":"https://www.research.ed.ac.uk/en/publications/a3cb3b14-bd36-4f45-8349-01133ef56ef2","pdf_url":null,"source":{"id":"https://openalex.org/S4306400321","display_name":"Edinburgh Research Explorer (University of Edinburgh)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I98677209","host_organization_name":"University of Edinburgh","host_organization_lineage":["https://openalex.org/I98677209"],"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":"Gonzalez-Garcia, A, Vezhnevets, A & Ferrari, V 2015, An active search strategy for efficient object class detection. in Computer Vision and Pattern Recognition (CVPR), 2015 IEEE Conference on. Institute of Electrical and Electronics Engineers, pp. 3022-3031. https://doi.org/10.1109/CVPR.2015.7298921","raw_type":"contributionToPeriodical"},"sustainable_development_goals":[{"display_name":"Life in Land","id":"https://metadata.un.org/sdg/15","score":0.6499999761581421}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":70,"referenced_works":["https://openalex.org/W114421296","https://openalex.org/W278712781","https://openalex.org/W1516887802","https://openalex.org/W1974744233","https://openalex.org/W1982522767","https://openalex.org/W1989684337","https://openalex.org/W2000205118","https://openalex.org/W2017814585","https://openalex.org/W2031489346","https://openalex.org/W2036745441","https://openalex.org/W2036989445","https://openalex.org/W2044313232","https://openalex.org/W2066624635","https://openalex.org/W2071502922","https://openalex.org/W2076608847","https://openalex.org/W2081293863","https://openalex.org/W2084363474","https://openalex.org/W2088049833","https://openalex.org/W2098355199","https://openalex.org/W2101217650","https://openalex.org/W2102179764","https://openalex.org/W2102605133","https://openalex.org/W2104170135","https://openalex.org/W2110226160","https://openalex.org/W2113201641","https://openalex.org/W2115595010","https://openalex.org/W2121660792","https://openalex.org/W2123296323","https://openalex.org/W2125215748","https://openalex.org/W2130350952","https://openalex.org/W2135440260","https://openalex.org/W2135931458","https://openalex.org/W2141364309","https://openalex.org/W2141399712","https://openalex.org/W2142037471","https://openalex.org/W2143729633","https://openalex.org/W2147527908","https://openalex.org/W2147713217","https://openalex.org/W2151451863","https://openalex.org/W2154071538","https://openalex.org/W2155541015","https://openalex.org/W2160254296","https://openalex.org/W2161969291","https://openalex.org/W2162762921","https://openalex.org/W2163605009","https://openalex.org/W2164598857","https://openalex.org/W2166761907","https://openalex.org/W2168356304","https://openalex.org/W2179352600","https://openalex.org/W2183231851","https://openalex.org/W2534457893","https://openalex.org/W2538008885","https://openalex.org/W2911964244","https://openalex.org/W2951527505","https://openalex.org/W4293171766","https://openalex.org/W4294375521","https://openalex.org/W6604562747","https://openalex.org/W6630825005","https://openalex.org/W6674646328","https://openalex.org/W6675312351","https://openalex.org/W6676338569","https://openalex.org/W6677027854","https://openalex.org/W6677032036","https://openalex.org/W6680132831","https://openalex.org/W6680834391","https://openalex.org/W6681003525","https://openalex.org/W6682137061","https://openalex.org/W6682778277","https://openalex.org/W6684191040","https://openalex.org/W6686251702"],"related_works":["https://openalex.org/W3193043704","https://openalex.org/W4386259002","https://openalex.org/W1546989560","https://openalex.org/W2109115373","https://openalex.org/W3171520305","https://openalex.org/W2390901981","https://openalex.org/W3135126032","https://openalex.org/W1924178503","https://openalex.org/W2353818951","https://openalex.org/W3014558862"],"abstract_inverted_index":{"Object":[0],"class":[1],"detectors":[2],"typically":[3],"apply":[4],"a":[5,13,18,53,64,90,117,132,152,182],"window":[6,20,40,91],"classifier":[7,60,143,176],"to":[8,41,96,107,144,148,157],"all":[9,45,201],"the":[10,38,46,57,83,87,97,102,113,139,142,146,189,196],"windows":[11,202],"in":[12,17,52,56,63,68,101,112,131],"large":[14],"set,":[15],"either":[16],"sliding":[19],"manner":[21],"or":[22],"using":[23],"object":[24],"proposals.":[25],"In":[26,184],"this":[27],"paper,":[28],"we":[29,79,137],"develop":[30],"an":[31],"active":[32],"search":[33,71,147,167],"strategy":[34,72,168],"that":[35,121],"sequentially":[36],"chooses":[37],"next":[39],"evaluate":[42],"based":[43],"on":[44,172,188],"information":[47],"gathered":[48],"before.":[49],"This":[50,105],"results":[51],"substantial":[54],"reduction":[55],"number":[58],"of":[59,89,141,174,199],"evaluations":[61],"and":[62,92,127,156],"more":[65],"elegant":[66],"approach":[67],"general.":[69],"Our":[70,166],"is":[73,128],"guided":[74],"by":[75],"two":[76],"forces.":[77],"First,":[78],"exploit":[80,138],"context":[81],"as":[82,99,177,181],"statistical":[84],"relation":[85],"between":[86],"appearance":[88],"its":[93],"location":[94],"relative":[95],"object,":[98],"observed":[100],"training":[103],"set.":[104],"enables":[106],"jump":[108],"across":[109],"distant":[110],"regions":[111],"image":[114],"(e.g.":[115],"observing":[116],"sky":[118],"region":[119],"suggests":[120],"cars":[122],"might":[123],"be":[124,170],"far":[125],"below)":[126],"done":[129],"efficiently":[130],"Random":[133],"Forest":[134],"framework.":[135],"Second,":[136],"score":[140],"attract":[145],"promising":[149],"areas":[150,161],"surrounding":[151],"highly":[153],"scored":[154,164],"window,":[155],"keep":[158],"away":[159],"from":[160],"near":[162],"low":[163],"ones.":[165],"can":[169],"applied":[171],"top":[173],"any":[175],"it":[178,180],"treats":[179],"black-box.":[183],"experiments":[185],"with":[186],"R-CNN":[187],"challenging":[190],"SUN2012":[191],"dataset,":[192],"our":[193],"method":[194],"matches":[195],"detection":[197],"accuracy":[198],"evaluating":[200,205],"independently,":[203],"while":[204],"9\u00d7":[206],"fewer":[207],"windows.":[208]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2023,"cited_by_count":4},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":6},{"year":2020,"cited_by_count":6},{"year":2019,"cited_by_count":6},{"year":2018,"cited_by_count":13},{"year":2017,"cited_by_count":10},{"year":2016,"cited_by_count":16},{"year":2015,"cited_by_count":4},{"year":2014,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
