{"id":"https://openalex.org/W2142035405","doi":"https://doi.org/10.1109/icme.2010.5582948","title":"Segmentation-free object localization in image collections","display_name":"Segmentation-free object localization in image collections","publication_year":2010,"publication_date":"2010-07-01","ids":{"openalex":"https://openalex.org/W2142035405","doi":"https://doi.org/10.1109/icme.2010.5582948","mag":"2142035405"},"language":"en","primary_location":{"id":"doi:10.1109/icme.2010.5582948","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icme.2010.5582948","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2010 IEEE International Conference on Multimedia and Expo","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"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/A5103081836","display_name":"Shao-Chuan Wang","orcid":"https://orcid.org/0009-0000-7959-9914"},"institutions":[{"id":"https://openalex.org/I29955533","display_name":"Center for Information Technology","ror":"https://ror.org/03jh5a977","country_code":"US","type":"facility","lineage":["https://openalex.org/I1299022934","https://openalex.org/I1299303238","https://openalex.org/I29955533"]},{"id":"https://openalex.org/I4210086894","display_name":"Research Center for Information Technology Innovation, Academia Sinica","ror":"https://ror.org/000zgvm20","country_code":"TW","type":"facility","lineage":["https://openalex.org/I4210086894","https://openalex.org/I84653119"]}],"countries":["TW","US"],"is_corresponding":true,"raw_author_name":"Shao-Chuan Wang","raw_affiliation_strings":["Research Center of Information Technology Innovation, Academia Sinica, Taipei, Taiwan","Research Center for Information Technology, Innovation, Academia Sinica, Taipei, Taiwan"],"affiliations":[{"raw_affiliation_string":"Research Center of Information Technology Innovation, Academia Sinica, Taipei, Taiwan","institution_ids":["https://openalex.org/I4210086894"]},{"raw_affiliation_string":"Research Center for Information Technology, Innovation, Academia Sinica, Taipei, Taiwan","institution_ids":["https://openalex.org/I29955533"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5090045508","display_name":"Yu-Chiang Frank Wang","orcid":"https://orcid.org/0000-0002-2333-157X"},"institutions":[{"id":"https://openalex.org/I4210086894","display_name":"Research Center for Information Technology Innovation, Academia Sinica","ror":"https://ror.org/000zgvm20","country_code":"TW","type":"facility","lineage":["https://openalex.org/I4210086894","https://openalex.org/I84653119"]},{"id":"https://openalex.org/I29955533","display_name":"Center for Information Technology","ror":"https://ror.org/03jh5a977","country_code":"US","type":"facility","lineage":["https://openalex.org/I1299022934","https://openalex.org/I1299303238","https://openalex.org/I29955533"]}],"countries":["TW","US"],"is_corresponding":false,"raw_author_name":"Yu-Chiang Frank Wang","raw_affiliation_strings":["Research Center of Information Technology Innovation, Academia Sinica, Taipei, Taiwan","Research Center for Information Technology, Innovation, Academia Sinica, Taipei, Taiwan"],"affiliations":[{"raw_affiliation_string":"Research Center of Information Technology Innovation, Academia Sinica, Taipei, Taiwan","institution_ids":["https://openalex.org/I4210086894"]},{"raw_affiliation_string":"Research Center for Information Technology, Innovation, Academia Sinica, Taipei, Taiwan","institution_ids":["https://openalex.org/I29955533"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5103081836"],"corresponding_institution_ids":["https://openalex.org/I29955533","https://openalex.org/I4210086894"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.19537881,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":"3","issue":null,"first_page":"1546","last_page":"1551"},"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":1.0,"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":1.0,"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/T10191","display_name":"Robotics and Sensor-Based Localization","score":0.9991000294685364,"subfield":{"id":"https://openalex.org/subfields/2202","display_name":"Aerospace Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"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":0.9986000061035156,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.8178742527961731},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7341563701629639},{"id":"https://openalex.org/keywords/discriminative-model","display_name":"Discriminative model","score":0.7335713505744934},{"id":"https://openalex.org/keywords/smoothing","display_name":"Smoothing","score":0.6856163144111633},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.6444567441940308},{"id":"https://openalex.org/keywords/scale-invariant-feature-transform","display_name":"Scale-invariant feature transform","score":0.6264230608940125},{"id":"https://openalex.org/keywords/bag-of-words-model-in-computer-vision","display_name":"Bag-of-words model in computer vision","score":0.6101495027542114},{"id":"https://openalex.org/keywords/visual-word","display_name":"Visual Word","score":0.5641756057739258},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.5336245894432068},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.5150132179260254},{"id":"https://openalex.org/keywords/object","display_name":"Object (grammar)","score":0.4937766492366791},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.467191219329834},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.45063936710357666},{"id":"https://openalex.org/keywords/ranking","display_name":"Ranking (information retrieval)","score":0.4487456679344177},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.384155809879303},{"id":"https://openalex.org/keywords/image-retrieval","display_name":"Image retrieval","score":0.30289286375045776}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.8178742527961731},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7341563701629639},{"id":"https://openalex.org/C97931131","wikidata":"https://www.wikidata.org/wiki/Q5282087","display_name":"Discriminative model","level":2,"score":0.7335713505744934},{"id":"https://openalex.org/C3770464","wikidata":"https://www.wikidata.org/wiki/Q775963","display_name":"Smoothing","level":2,"score":0.6856163144111633},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.6444567441940308},{"id":"https://openalex.org/C61265191","wikidata":"https://www.wikidata.org/wiki/Q767770","display_name":"Scale-invariant feature transform","level":3,"score":0.6264230608940125},{"id":"https://openalex.org/C167611913","wikidata":"https://www.wikidata.org/wiki/Q6884747","display_name":"Bag-of-words model in computer vision","level":5,"score":0.6101495027542114},{"id":"https://openalex.org/C189391414","wikidata":"https://www.wikidata.org/wiki/Q7936579","display_name":"Visual Word","level":4,"score":0.5641756057739258},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.5336245894432068},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.5150132179260254},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.4937766492366791},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.467191219329834},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.45063936710357666},{"id":"https://openalex.org/C189430467","wikidata":"https://www.wikidata.org/wiki/Q7293293","display_name":"Ranking (information retrieval)","level":2,"score":0.4487456679344177},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.384155809879303},{"id":"https://openalex.org/C1667742","wikidata":"https://www.wikidata.org/wiki/Q10927554","display_name":"Image retrieval","level":3,"score":0.30289286375045776},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icme.2010.5582948","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icme.2010.5582948","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2010 IEEE International Conference on Multimedia and Expo","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.75,"display_name":"Reduced inequalities","id":"https://metadata.un.org/sdg/10"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":33,"referenced_works":["https://openalex.org/W255846030","https://openalex.org/W1563088657","https://openalex.org/W2060028332","https://openalex.org/W2066941820","https://openalex.org/W2103658758","https://openalex.org/W2104170135","https://openalex.org/W2104599718","https://openalex.org/W2119821739","https://openalex.org/W2120369594","https://openalex.org/W2120995095","https://openalex.org/W2129004009","https://openalex.org/W2139104449","https://openalex.org/W2140169211","https://openalex.org/W2142037471","https://openalex.org/W2143426320","https://openalex.org/W2148596671","https://openalex.org/W2151103935","https://openalex.org/W2151768982","https://openalex.org/W2153635508","https://openalex.org/W2164598857","https://openalex.org/W2164877691","https://openalex.org/W2165181841","https://openalex.org/W2171048379","https://openalex.org/W2174839307","https://openalex.org/W2244684328","https://openalex.org/W2534457893","https://openalex.org/W2998514558","https://openalex.org/W4239510810","https://openalex.org/W6664369029","https://openalex.org/W6675679986","https://openalex.org/W6680366265","https://openalex.org/W6682464122","https://openalex.org/W6683978607"],"related_works":["https://openalex.org/W2158102958","https://openalex.org/W2063218608","https://openalex.org/W4386105885","https://openalex.org/W2071180033","https://openalex.org/W2184288218","https://openalex.org/W2086564093","https://openalex.org/W2947282851","https://openalex.org/W3043037362","https://openalex.org/W4239790437","https://openalex.org/W2776636962"],"abstract_inverted_index":{"We":[0,69],"propose":[1],"a":[2,10,97],"novel":[3],"method":[4,105],"to":[5,82,108],"address":[6],"object":[7],"localization":[8,92],"in":[9,65],"weakly":[11],"supervised":[12],"framework.":[13],"Unlike":[14],"prior":[15],"work":[16],"using":[17,114],"exhaustive":[18],"search":[19],"methods":[20],"such":[21],"as":[22],"sliding":[23],"windows,":[24],"we":[25],"advocate":[26],"the":[27,72,88,100,110,115],"use":[28],"of":[29,87,99],"visual":[30,38,46,67],"attention":[31],"maps":[32],"which":[33],"are":[34,48,94],"constructed":[35,73],"by":[36,50,75],"class-specific":[37],"words.":[39,68],"Based":[40],"on":[41,96],"dense":[42],"SIFT":[43],"descriptors,":[44],"these":[45,66],"words":[47],"selected":[49],"support":[51],"vector":[52],"machines":[53],"and":[54,63,78,103],"feature":[55],"ranking":[56],"techniques.":[57],"Therefore,":[58],"discriminative":[59],"information":[60,86],"is":[61,106],"learned":[62],"embedded":[64],"further":[70],"refine":[71],"map":[74],"Gaussian":[76],"smoothing":[77],"cross":[79],"bilateral":[80],"filtering":[81],"preserve":[83],"local":[84],"spatial":[85],"objects.":[89],"Very":[90],"promising":[91],"results":[93],"reported":[95],"subset":[98],"Caltech-256":[101],"dataset,":[102],"our":[104],"shown":[107],"improve":[109],"state-of-the-art":[111],"recognition":[112],"performance":[113],"bag-of-feature":[116],"(BOF)":[117],"model.":[118]},"counts_by_year":[{"year":2016,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}