{"id":"https://openalex.org/W3193615069","doi":"https://doi.org/10.1109/icip42928.2021.9506806","title":"Local Feature Descriptors with Deep Hypersphere Learning","display_name":"Local Feature Descriptors with Deep Hypersphere Learning","publication_year":2021,"publication_date":"2021-08-23","ids":{"openalex":"https://openalex.org/W3193615069","doi":"https://doi.org/10.1109/icip42928.2021.9506806","mag":"3193615069"},"language":"en","primary_location":{"id":"doi:10.1109/icip42928.2021.9506806","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icip42928.2021.9506806","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 IEEE International Conference on Image Processing (ICIP)","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/A5082259804","display_name":"Song Wang","orcid":"https://orcid.org/0000-0003-4152-5295"},"institutions":[{"id":"https://openalex.org/I38877650","display_name":"Zhengzhou University","ror":"https://ror.org/04ypx8c21","country_code":"CN","type":"education","lineage":["https://openalex.org/I38877650"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Song Wang","raw_affiliation_strings":["Zhengzhou University,School of Information Engineering,Zhengzhou,China","School of Information Engineering, Zhengzhou University, Zhengzhou, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Zhengzhou University,School of Information Engineering,Zhengzhou,China","institution_ids":["https://openalex.org/I38877650"]},{"raw_affiliation_string":"School of Information Engineering, Zhengzhou University, Zhengzhou, China","institution_ids":["https://openalex.org/I38877650"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101507341","display_name":"Xin Guo","orcid":"https://orcid.org/0000-0003-4153-4642"},"institutions":[{"id":"https://openalex.org/I38877650","display_name":"Zhengzhou University","ror":"https://ror.org/04ypx8c21","country_code":"CN","type":"education","lineage":["https://openalex.org/I38877650"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xin Guo","raw_affiliation_strings":["Zhengzhou University,School of Information Engineering,Zhengzhou,China","School of Information Engineering, Zhengzhou University, Zhengzhou, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Zhengzhou University,School of Information Engineering,Zhengzhou,China","institution_ids":["https://openalex.org/I38877650"]},{"raw_affiliation_string":"School of Information Engineering, Zhengzhou University, Zhengzhou, China","institution_ids":["https://openalex.org/I38877650"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101112071","display_name":"Yun Tie","orcid":null},"institutions":[{"id":"https://openalex.org/I38877650","display_name":"Zhengzhou University","ror":"https://ror.org/04ypx8c21","country_code":"CN","type":"education","lineage":["https://openalex.org/I38877650"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yun Tie","raw_affiliation_strings":["Zhengzhou University,School of Information Engineering,Zhengzhou,China","School of Information Engineering, Zhengzhou University, Zhengzhou, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Zhengzhou University,School of Information Engineering,Zhengzhou,China","institution_ids":["https://openalex.org/I38877650"]},{"raw_affiliation_string":"School of Information Engineering, Zhengzhou University, Zhengzhou, China","institution_ids":["https://openalex.org/I38877650"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100326349","display_name":"Lin Qi","orcid":"https://orcid.org/0000-0002-4558-6741"},"institutions":[{"id":"https://openalex.org/I38877650","display_name":"Zhengzhou University","ror":"https://ror.org/04ypx8c21","country_code":"CN","type":"education","lineage":["https://openalex.org/I38877650"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Lin Qi","raw_affiliation_strings":["Zhengzhou University,School of Information Engineering,Zhengzhou,China","School of Information Engineering, Zhengzhou University, Zhengzhou, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Zhengzhou University,School of Information Engineering,Zhengzhou,China","institution_ids":["https://openalex.org/I38877650"]},{"raw_affiliation_string":"School of Information Engineering, Zhengzhou University, Zhengzhou, China","institution_ids":["https://openalex.org/I38877650"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5001287866","display_name":"Ling Guan","orcid":"https://orcid.org/0000-0002-2681-2504"},"institutions":[{"id":"https://openalex.org/I530967","display_name":"Toronto Metropolitan University","ror":"https://ror.org/05g13zd79","country_code":"CA","type":"education","lineage":["https://openalex.org/I530967"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Ling Guan","raw_affiliation_strings":["Ryerson University,Department of Electrical and Computer Engineering,Toronto,Canada"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Ryerson University,Department of Electrical and Computer Engineering,Toronto,Canada","institution_ids":["https://openalex.org/I530967"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":5,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.097,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.39246141,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":95},"biblio":{"volume":null,"issue":null,"first_page":"1524","last_page":"1528"},"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":0.9995999932289124,"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"}},"topics":[{"id":"https://openalex.org/T10627","display_name":"Advanced Image and Video Retrieval Techniques","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"}},{"id":"https://openalex.org/T10824","display_name":"Image Retrieval and Classification Techniques","score":0.9930999875068665,"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":0.9894999861717224,"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/hypersphere","display_name":"Hypersphere","score":0.9778385162353516},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7549550533294678},{"id":"https://openalex.org/keywords/normalization","display_name":"Normalization (sociology)","score":0.7439959049224854},{"id":"https://openalex.org/keywords/discriminative-model","display_name":"Discriminative model","score":0.6279240250587463},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5987860560417175},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5404897332191467},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.4694463908672333},{"id":"https://openalex.org/keywords/feature-vector","display_name":"Feature vector","score":0.4419432580471039},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.4345034956932068},{"id":"https://openalex.org/keywords/euclidean-space","display_name":"Euclidean space","score":0.43403324484825134},{"id":"https://openalex.org/keywords/matching","display_name":"Matching (statistics)","score":0.4316040873527527},{"id":"https://openalex.org/keywords/euclidean-distance","display_name":"Euclidean distance","score":0.4253693222999573},{"id":"https://openalex.org/keywords/dimensionality-reduction","display_name":"Dimensionality reduction","score":0.41623321175575256},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.3064380884170532},{"id":"https://openalex.org/keywords/combinatorics","display_name":"Combinatorics","score":0.07462453842163086}],"concepts":[{"id":"https://openalex.org/C2776562905","wikidata":"https://www.wikidata.org/wiki/Q306610","display_name":"Hypersphere","level":2,"score":0.9778385162353516},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7549550533294678},{"id":"https://openalex.org/C136886441","wikidata":"https://www.wikidata.org/wiki/Q926129","display_name":"Normalization (sociology)","level":2,"score":0.7439959049224854},{"id":"https://openalex.org/C97931131","wikidata":"https://www.wikidata.org/wiki/Q5282087","display_name":"Discriminative model","level":2,"score":0.6279240250587463},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5987860560417175},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5404897332191467},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.4694463908672333},{"id":"https://openalex.org/C83665646","wikidata":"https://www.wikidata.org/wiki/Q42139305","display_name":"Feature vector","level":2,"score":0.4419432580471039},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.4345034956932068},{"id":"https://openalex.org/C186450821","wikidata":"https://www.wikidata.org/wiki/Q17295","display_name":"Euclidean space","level":2,"score":0.43403324484825134},{"id":"https://openalex.org/C165064840","wikidata":"https://www.wikidata.org/wiki/Q1321061","display_name":"Matching (statistics)","level":2,"score":0.4316040873527527},{"id":"https://openalex.org/C120174047","wikidata":"https://www.wikidata.org/wiki/Q847073","display_name":"Euclidean distance","level":2,"score":0.4253693222999573},{"id":"https://openalex.org/C70518039","wikidata":"https://www.wikidata.org/wiki/Q16000077","display_name":"Dimensionality reduction","level":2,"score":0.41623321175575256},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.3064380884170532},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.07462453842163086},{"id":"https://openalex.org/C19165224","wikidata":"https://www.wikidata.org/wiki/Q23404","display_name":"Anthropology","level":1,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C144024400","wikidata":"https://www.wikidata.org/wiki/Q21201","display_name":"Sociology","level":0,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icip42928.2021.9506806","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icip42928.2021.9506806","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 IEEE International Conference on Image Processing (ICIP)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.7300000190734863,"display_name":"Reduced inequalities","id":"https://metadata.un.org/sdg/10"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":27,"referenced_works":["https://openalex.org/W1955857676","https://openalex.org/W2076063813","https://openalex.org/W2089888558","https://openalex.org/W2112020727","https://openalex.org/W2147555557","https://openalex.org/W2151103935","https://openalex.org/W2165239264","https://openalex.org/W2471962767","https://openalex.org/W2612112834","https://openalex.org/W2737260104","https://openalex.org/W2774267535","https://openalex.org/W2794809894","https://openalex.org/W2919115771","https://openalex.org/W2963131478","https://openalex.org/W2963284197","https://openalex.org/W2963928593","https://openalex.org/W2973665503","https://openalex.org/W2979799237","https://openalex.org/W2986588672","https://openalex.org/W2988440334","https://openalex.org/W2994942353","https://openalex.org/W3092251444","https://openalex.org/W6747225742","https://openalex.org/W6756861783","https://openalex.org/W6758302591","https://openalex.org/W6770435468","https://openalex.org/W6771961067"],"related_works":["https://openalex.org/W2117249708","https://openalex.org/W2142265066","https://openalex.org/W177678625","https://openalex.org/W2924848458","https://openalex.org/W2388902432","https://openalex.org/W2963100322","https://openalex.org/W2014235090","https://openalex.org/W2787396923","https://openalex.org/W4301075504","https://openalex.org/W2886321183"],"abstract_inverted_index":{"Recent":[0],"works":[1],"have":[2],"demonstrated":[3],"the":[4,18,24,27,40,55,59,67,77,83,97,112,121,125],"power":[5],"of":[6,42,62],"L":[7,43],"<inf":[8,44],"xmlns:mml=\"http://www.w3.org/1998/Math/MathML\"":[9,45],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">2</inf>":[10,46],"normalization":[11,47],"in":[12,23],"local":[13],"feature":[14,63,126],"descriptor":[15,73,115],"learning.":[16],"While":[17],"descriptors":[19,30],"are":[20],"typically":[21],"learned":[22],"Euclidean":[25,118],"space,":[26],"similarity":[28],"between":[29,54],"is":[31,80,93],"often":[32],"evaluated":[33],"on":[34,107,124],"a":[35,52,71,88],"unit":[36],"hypersphere":[37],"due":[38],"to":[39,95,101],"post-processing":[41],"for":[48],"descriptors,":[49],"which":[50],"creates":[51],"gap":[53],"training":[56],"stage":[57,61],"and":[58,120],"usage":[60],"descriptors.":[64,105],"To":[65],"bridge":[66],"gap,":[68],"we":[69],"propose":[70],"hyperspherical":[72,84,99,114],"learning":[74],"model,":[75],"where":[76],"whole":[78],"network":[79],"projected":[81],"onto":[82],"space.":[85],"In":[86],"addition,":[87],"squared":[89],"angular":[90],"triplet":[91],"loss":[92],"designed":[94],"enable":[96],"proposed":[98,113],"model":[100],"learn":[102],"angularly":[103],"discriminative":[104],"Experiments":[106],"UBC":[108],"dataset":[109],"show":[110],"that":[111],"outperforms":[116],"its":[117],"counterparts":[119],"state-of-the-art":[122],"methods":[123],"matching":[127],"task.":[128]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}