{"id":"https://openalex.org/W2121496627","doi":"https://doi.org/10.1109/tip.2010.2103951","title":"Transferring Boosted Detectors Towards Viewpoint and Scene Adaptiveness","display_name":"Transferring Boosted Detectors Towards Viewpoint and Scene Adaptiveness","publication_year":2011,"publication_date":"2011-01-07","ids":{"openalex":"https://openalex.org/W2121496627","doi":"https://doi.org/10.1109/tip.2010.2103951","mag":"2121496627","pmid":"https://pubmed.ncbi.nlm.nih.gov/21216711"},"language":"en","primary_location":{"id":"doi:10.1109/tip.2010.2103951","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tip.2010.2103951","pdf_url":null,"source":{"id":"https://openalex.org/S4210173141","display_name":"IEEE Transactions on Image Processing","issn_l":"1057-7149","issn":["1057-7149","1941-0042"],"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 Image Processing","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/A5020694008","display_name":"Junbiao Pang","orcid":"https://orcid.org/0000-0001-8153-7229"},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"government","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I4210090176","display_name":"Institute of Computing Technology","ror":"https://ror.org/0090r4d87","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210090176"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Junbiao Pang","raw_affiliation_strings":["Graduate University and the Institute ofComputing Technology, Chinese Academy of Sciences, Beijing 100190, China. jbpang@jl.ac.cn","Institute of Computing Technology, Chinese Academy of Sciences, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Graduate University and the Institute ofComputing Technology, Chinese Academy of Sciences, Beijing 100190, China. jbpang@jl.ac.cn","institution_ids":["https://openalex.org/I4210090176"]},{"raw_affiliation_string":"Institute of Computing Technology, Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I19820366","https://openalex.org/I4210090176"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5028597017","display_name":"Qingming Huang","orcid":"https://orcid.org/0000-0001-7542-296X"},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"government","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I4210090176","display_name":"Institute of Computing Technology","ror":"https://ror.org/0090r4d87","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210090176"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qingming Huang","raw_affiliation_strings":["Institute of Computing Technology, Chinese Academy of Sciences, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute of Computing Technology, Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I19820366","https://openalex.org/I4210090176"]}]},{"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"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, National University of Singapore, Singapore","institution_ids":["https://openalex.org/I165932596"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5043876109","display_name":"Shuqiang Jiang","orcid":null},"institutions":[{"id":"https://openalex.org/I4210090176","display_name":"Institute of Computing Technology","ror":"https://ror.org/0090r4d87","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210090176"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shuqiang Jiang","raw_affiliation_strings":["Institute of Computing Technology, Chinese Academy and Sciences, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute of Computing Technology, Chinese Academy and Sciences, Beijing, China","institution_ids":["https://openalex.org/I4210090176"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5080743788","display_name":"Lei Qin","orcid":"https://orcid.org/0000-0001-9177-0753"},"institutions":[{"id":"https://openalex.org/I4210090176","display_name":"Institute of Computing Technology","ror":"https://ror.org/0090r4d87","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210090176"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Lei Qin","raw_affiliation_strings":["Institute of Computing Technology, Chinese Academy and Sciences, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute of Computing Technology, Chinese Academy and Sciences, Beijing, China","institution_ids":["https://openalex.org/I4210090176"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":4.3858,"has_fulltext":false,"cited_by_count":48,"citation_normalized_percentile":{"value":0.95045214,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":99},"biblio":{"volume":"20","issue":"5","first_page":"1388","last_page":"1400"},"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/T11307","display_name":"Domain Adaptation and Few-Shot Learning","score":0.9997000098228455,"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":0.9995999932289124,"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/discriminative-model","display_name":"Discriminative model","score":0.8795874714851379},{"id":"https://openalex.org/keywords/boosting","display_name":"Boosting (machine learning)","score":0.8737355470657349},{"id":"https://openalex.org/keywords/weighting","display_name":"Weighting","score":0.753411054611206},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7390583753585815},{"id":"https://openalex.org/keywords/detector","display_name":"Detector","score":0.7104035019874573},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6806800365447998},{"id":"https://openalex.org/keywords/a-priori-and-a-posteriori","display_name":"A priori and a posteriori","score":0.6591607332229614},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.6469334363937378},{"id":"https://openalex.org/keywords/object-detection","display_name":"Object detection","score":0.6187648773193359},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.49238336086273193},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4827246367931366},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.33383673429489136}],"concepts":[{"id":"https://openalex.org/C97931131","wikidata":"https://www.wikidata.org/wiki/Q5282087","display_name":"Discriminative model","level":2,"score":0.8795874714851379},{"id":"https://openalex.org/C46686674","wikidata":"https://www.wikidata.org/wiki/Q466303","display_name":"Boosting (machine learning)","level":2,"score":0.8737355470657349},{"id":"https://openalex.org/C183115368","wikidata":"https://www.wikidata.org/wiki/Q856577","display_name":"Weighting","level":2,"score":0.753411054611206},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7390583753585815},{"id":"https://openalex.org/C94915269","wikidata":"https://www.wikidata.org/wiki/Q1834857","display_name":"Detector","level":2,"score":0.7104035019874573},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6806800365447998},{"id":"https://openalex.org/C75553542","wikidata":"https://www.wikidata.org/wiki/Q178161","display_name":"A priori and a posteriori","level":2,"score":0.6591607332229614},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.6469334363937378},{"id":"https://openalex.org/C2776151529","wikidata":"https://www.wikidata.org/wiki/Q3045304","display_name":"Object detection","level":3,"score":0.6187648773193359},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.49238336086273193},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4827246367931366},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.33383673429489136},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.0},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.0},{"id":"https://openalex.org/C111472728","wikidata":"https://www.wikidata.org/wiki/Q9471","display_name":"Epistemology","level":1,"score":0.0},{"id":"https://openalex.org/C126838900","wikidata":"https://www.wikidata.org/wiki/Q77604","display_name":"Radiology","level":1,"score":0.0}],"mesh":[{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D007089","descriptor_name":"Image Enhancement","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D007089","descriptor_name":"Image Enhancement","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D007089","descriptor_name":"Image Enhancement","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D007091","descriptor_name":"Image Processing, Computer-Assisted","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D007091","descriptor_name":"Image Processing, Computer-Assisted","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D007091","descriptor_name":"Image Processing, Computer-Assisted","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D010363","descriptor_name":"Pattern Recognition, Automated","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D010363","descriptor_name":"Pattern Recognition, Automated","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D010363","descriptor_name":"Pattern Recognition, Automated","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false}],"locations_count":3,"locations":[{"id":"doi:10.1109/tip.2010.2103951","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tip.2010.2103951","pdf_url":null,"source":{"id":"https://openalex.org/S4210173141","display_name":"IEEE Transactions on Image Processing","issn_l":"1057-7149","issn":["1057-7149","1941-0042"],"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 Image Processing","raw_type":"journal-article"},{"id":"pmid:21216711","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/21216711","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 image processing : a publication of the IEEE Signal Processing Society","raw_type":null},{"id":"pmh:oai:scholarbank.nus.edu.sg:10635/57697","is_oa":false,"landing_page_url":"http://scholarbank.nus.edu.sg/handle/10635/57697","pdf_url":null,"source":{"id":"https://openalex.org/S7407052290","display_name":"National University of Singapore","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":"Scopus","raw_type":"Article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/10","score":0.7699999809265137,"display_name":"Reduced inequalities"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":50,"referenced_works":["https://openalex.org/W189742998","https://openalex.org/W1487322600","https://openalex.org/W1502609557","https://openalex.org/W1510488293","https://openalex.org/W1529840045","https://openalex.org/W1579080782","https://openalex.org/W1607198972","https://openalex.org/W1988790447","https://openalex.org/W2036043322","https://openalex.org/W2048679005","https://openalex.org/W2098699644","https://openalex.org/W2102062979","https://openalex.org/W2103577141","https://openalex.org/W2109258005","https://openalex.org/W2115733720","https://openalex.org/W2115763357","https://openalex.org/W2120219904","https://openalex.org/W2121680631","https://openalex.org/W2122838776","https://openalex.org/W2130903752","https://openalex.org/W2133013156","https://openalex.org/W2145073242","https://openalex.org/W2147474239","https://openalex.org/W2148696156","https://openalex.org/W2153927146","https://openalex.org/W2156175024","https://openalex.org/W2156909104","https://openalex.org/W2161969291","https://openalex.org/W2164598857","https://openalex.org/W2166010828","https://openalex.org/W2169743339","https://openalex.org/W2170865122","https://openalex.org/W2171188998","https://openalex.org/W2186094539","https://openalex.org/W2217896605","https://openalex.org/W2400267228","https://openalex.org/W2911964244","https://openalex.org/W2913340405","https://openalex.org/W3035219538","https://openalex.org/W3140968660","https://openalex.org/W4248437541","https://openalex.org/W4285719527","https://openalex.org/W6607672814","https://openalex.org/W6629032133","https://openalex.org/W6630349879","https://openalex.org/W6634493406","https://openalex.org/W6679734692","https://openalex.org/W6681651645","https://openalex.org/W6780052409","https://openalex.org/W7062423369"],"related_works":["https://openalex.org/W1598005466","https://openalex.org/W2026121273","https://openalex.org/W2905846897","https://openalex.org/W2112343299","https://openalex.org/W2926953305","https://openalex.org/W2936891942","https://openalex.org/W2111662190","https://openalex.org/W2398866605","https://openalex.org/W2144024256","https://openalex.org/W2121496627"],"abstract_inverted_index":{"In":[0,24],"object":[1],"detection,":[2],"disparities":[3,31],"in":[4,18,62],"distributions":[5],"between":[6],"the":[7,11,30,63,74,80,89,94,106,112,119],"training":[8,108],"samples":[9],"and":[10,35,38,68,84,125,128],"test":[12],"ones":[13],"are":[14,77,97],"often":[15],"inevitable,":[16],"resulting":[17],"degraded":[19],"performance":[20],"for":[21,88],"application":[22],"scenarios.":[23],"this":[25],"paper,":[26],"we":[27],"focus":[28],"on":[29,132],"caused":[32],"by":[33,47],"viewpoint":[34,124],"scene":[36,126],"changes":[37],"propose":[39],"an":[40],"efficient":[41],"solution":[42],"to":[43,79,86,110],"these":[44],"particular":[45],"cases":[46],"adapting":[48],"generic":[49],"detectors,":[50],"assuming":[51],"boosting":[52],"style.":[53],"A":[54],"pretrained":[55],"boosting-style":[56],"detector":[57],"encodes":[58],"a":[59],"priori":[60],"knowledge":[61],"form":[64],"of":[65],"selected":[66,75],"features":[67,76],"weak":[69],"classifier":[70],"weighting.":[71],"Towards":[72],"adaptiveness,":[73],"shifted":[78],"most":[81],"discriminative":[82],"locations":[83],"scales":[85],"compensate":[87],"possible":[90],"appearance":[91],"variations.":[92],"Moreover,":[93],"weighting":[95],"coefficients":[96],"further":[98],"adapted":[99],"with":[100],"covariate":[101],"boost,":[102],"which":[103],"maximally":[104],"utilizes":[105],"related":[107],"data":[109],"enrich":[111],"limited":[113],"new":[114],"examples.":[115],"Extensive":[116],"experiments":[117],"validate":[118],"proposed":[120],"adaptation":[121],"mechanism":[122],"towards":[123],"adaptiveness":[127],"show":[129],"encouraging":[130],"improvement":[131],"detection":[133],"accuracy":[134],"over":[135],"state-of-the-art":[136],"methods.":[137]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":2},{"year":2019,"cited_by_count":3},{"year":2018,"cited_by_count":3},{"year":2017,"cited_by_count":9},{"year":2016,"cited_by_count":3},{"year":2015,"cited_by_count":8},{"year":2014,"cited_by_count":5},{"year":2013,"cited_by_count":7},{"year":2012,"cited_by_count":4}],"updated_date":"2026-07-22T07:51:19.307946","created_date":"2025-10-10T00:00:00"}