{"id":"https://openalex.org/W1901447884","doi":"https://doi.org/10.1109/cvpr.2015.7299145","title":"Domain-size pooling in local descriptors: DSP-SIFT","display_name":"Domain-size pooling in local descriptors: DSP-SIFT","publication_year":2015,"publication_date":"2015-06-01","ids":{"openalex":"https://openalex.org/W1901447884","doi":"https://doi.org/10.1109/cvpr.2015.7299145","mag":"1901447884"},"language":"en","primary_location":{"id":"doi:10.1109/cvpr.2015.7299145","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cvpr.2015.7299145","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":"preprint","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/A5076009475","display_name":"Jingming Dong","orcid":"https://orcid.org/0000-0002-8573-1077"},"institutions":[{"id":"https://openalex.org/I161318765","display_name":"University of California, Los Angeles","ror":"https://ror.org/046rm7j60","country_code":"US","type":"education","lineage":["https://openalex.org/I161318765"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Jingming Dong","raw_affiliation_strings":["UCLA Vision Lab, University of California, Los Angeles, CA","UCLA Vision Lab, University of California, Los Angeles, 90095, USA"],"affiliations":[{"raw_affiliation_string":"UCLA Vision Lab, University of California, Los Angeles, CA","institution_ids":["https://openalex.org/I161318765"]},{"raw_affiliation_string":"UCLA Vision Lab, University of California, Los Angeles, 90095, USA","institution_ids":["https://openalex.org/I161318765"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5038328783","display_name":"Stefano Soatto","orcid":"https://orcid.org/0000-0003-2902-6362"},"institutions":[{"id":"https://openalex.org/I161318765","display_name":"University of California, Los Angeles","ror":"https://ror.org/046rm7j60","country_code":"US","type":"education","lineage":["https://openalex.org/I161318765"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Stefano Soatto","raw_affiliation_strings":["UCLA Vision Lab, University of California, Los Angeles, CA","UCLA Vision Lab, University of California, Los Angeles, 90095, USA"],"affiliations":[{"raw_affiliation_string":"UCLA Vision Lab, University of California, Los Angeles, CA","institution_ids":["https://openalex.org/I161318765"]},{"raw_affiliation_string":"UCLA Vision Lab, University of California, Los Angeles, 90095, USA","institution_ids":["https://openalex.org/I161318765"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5076009475"],"corresponding_institution_ids":["https://openalex.org/I161318765"],"apc_list":null,"apc_paid":null,"fwci":12.5421,"has_fulltext":false,"cited_by_count":181,"citation_normalized_percentile":{"value":0.99069149,"is_in_top_1_percent":true,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":100},"biblio":{"volume":null,"issue":null,"first_page":"5097","last_page":"5106"},"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":0.9998999834060669,"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/T10627","display_name":"Advanced Image and Video Retrieval Techniques","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/T10191","display_name":"Robotics and Sensor-Based Localization","score":0.996399998664856,"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":0.996399998664856,"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/scale-invariant-feature-transform","display_name":"Scale-invariant feature transform","score":0.9550259113311768},{"id":"https://openalex.org/keywords/pooling","display_name":"Pooling","score":0.8497426509857178},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7317856550216675},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7037819027900696},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.6652562022209167},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.6516647338867188},{"id":"https://openalex.org/keywords/matching","display_name":"Matching (statistics)","score":0.592754065990448},{"id":"https://openalex.org/keywords/dimension","display_name":"Dimension (graph theory)","score":0.5175690054893494},{"id":"https://openalex.org/keywords/domain","display_name":"Domain (mathematical analysis)","score":0.5091075301170349},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.37672725319862366},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.3731507658958435},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.212833434343338},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.06687411665916443}],"concepts":[{"id":"https://openalex.org/C61265191","wikidata":"https://www.wikidata.org/wiki/Q767770","display_name":"Scale-invariant feature transform","level":3,"score":0.9550259113311768},{"id":"https://openalex.org/C70437156","wikidata":"https://www.wikidata.org/wiki/Q7228652","display_name":"Pooling","level":2,"score":0.8497426509857178},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7317856550216675},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7037819027900696},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.6652562022209167},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.6516647338867188},{"id":"https://openalex.org/C165064840","wikidata":"https://www.wikidata.org/wiki/Q1321061","display_name":"Matching (statistics)","level":2,"score":0.592754065990448},{"id":"https://openalex.org/C33676613","wikidata":"https://www.wikidata.org/wiki/Q13415176","display_name":"Dimension (graph theory)","level":2,"score":0.5175690054893494},{"id":"https://openalex.org/C36503486","wikidata":"https://www.wikidata.org/wiki/Q11235244","display_name":"Domain (mathematical analysis)","level":2,"score":0.5091075301170349},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.37672725319862366},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.3731507658958435},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.212833434343338},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.06687411665916443},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0},{"id":"https://openalex.org/C202444582","wikidata":"https://www.wikidata.org/wiki/Q837863","display_name":"Pure mathematics","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/cvpr.2015.7299145","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cvpr.2015.7299145","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:CiteSeerX.psu:10.1.1.697.2646","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.697.2646","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://vision.ucla.edu/papers/dongS15.pdf","raw_type":"text"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320337345","display_name":"Office of Naval Research","ror":"https://ror.org/00rk2pe57"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":60,"referenced_works":["https://openalex.org/W104211377","https://openalex.org/W1524680991","https://openalex.org/W1529746300","https://openalex.org/W1585876838","https://openalex.org/W1586730761","https://openalex.org/W1677409904","https://openalex.org/W1804629308","https://openalex.org/W1916673044","https://openalex.org/W1938156704","https://openalex.org/W1970819022","https://openalex.org/W1980911747","https://openalex.org/W1992763080","https://openalex.org/W2003289302","https://openalex.org/W2007178811","https://openalex.org/W2011341357","https://openalex.org/W2016120301","https://openalex.org/W2020315425","https://openalex.org/W2036054070","https://openalex.org/W2054511520","https://openalex.org/W2066941820","https://openalex.org/W2074007957","https://openalex.org/W2077789856","https://openalex.org/W2100223191","https://openalex.org/W2108598243","https://openalex.org/W2120419212","https://openalex.org/W2127597232","https://openalex.org/W2128237624","https://openalex.org/W2131846894","https://openalex.org/W2132172482","https://openalex.org/W2139427956","https://openalex.org/W2143884379","https://openalex.org/W2147237076","https://openalex.org/W2150782236","https://openalex.org/W2151103935","https://openalex.org/W2156854610","https://openalex.org/W2161969291","https://openalex.org/W2162931300","https://openalex.org/W2165146474","https://openalex.org/W2172188317","https://openalex.org/W2177274842","https://openalex.org/W2406196141","https://openalex.org/W6631498818","https://openalex.org/W6631843149","https://openalex.org/W6635099914","https://openalex.org/W6635243913","https://openalex.org/W6637400245","https://openalex.org/W6638230199","https://openalex.org/W6639861416","https://openalex.org/W6640669835","https://openalex.org/W6648455050","https://openalex.org/W6651154704","https://openalex.org/W6659336525","https://openalex.org/W6674835102","https://openalex.org/W6676297131","https://openalex.org/W6679057852","https://openalex.org/W6681469950","https://openalex.org/W6682959452","https://openalex.org/W6683965311","https://openalex.org/W6684336018","https://openalex.org/W6713465158"],"related_works":["https://openalex.org/W4281928084","https://openalex.org/W4210680147","https://openalex.org/W2076289882","https://openalex.org/W4244083225","https://openalex.org/W2168562287","https://openalex.org/W2341400081","https://openalex.org/W2602506882","https://openalex.org/W3080336085","https://openalex.org/W2738461075","https://openalex.org/W4385636057"],"abstract_inverted_index":{"We":[0],"introduce":[1],"a":[2],"simple":[3],"modification":[4],"of":[5,52],"local":[6],"image":[7],"descriptors,":[8],"such":[9],"as":[10],"SIFT,":[11],"based":[12,42],"on":[13,43],"pooling":[14],"gradient":[15],"orientations":[16],"across":[17],"different":[18],"domain":[19],"sizes,":[20],"in":[21,36],"addition":[22],"to":[23],"spatial":[24],"locations.":[25],"The":[26],"resulting":[27],"descriptor,":[28],"which":[29],"we":[30],"call":[31],"DSP-SIFT,":[32],"outperforms":[33],"other":[34],"methods":[35],"wide-baseline":[37],"matching":[38],"benchmarks,":[39],"including":[40],"those":[41],"convolutional":[44],"neural":[45],"networks,":[46],"despite":[47],"having":[48],"the":[49],"same":[50],"dimension":[51],"SIFT":[53],"and":[54],"requiring":[55],"no":[56],"training.":[57]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":12},{"year":2023,"cited_by_count":15},{"year":2022,"cited_by_count":13},{"year":2021,"cited_by_count":23},{"year":2020,"cited_by_count":27},{"year":2019,"cited_by_count":20},{"year":2018,"cited_by_count":21},{"year":2017,"cited_by_count":13},{"year":2016,"cited_by_count":27},{"year":2015,"cited_by_count":6},{"year":2014,"cited_by_count":1}],"updated_date":"2026-04-08T06:01:36.053099","created_date":"2025-10-10T00:00:00"}
