{"id":"https://openalex.org/W3194717156","doi":"https://doi.org/10.23919/mva51890.2021.9511344","title":"On the Influence of Viewpoint Change for Metric Learning","display_name":"On the Influence of Viewpoint Change for Metric Learning","publication_year":2021,"publication_date":"2021-07-25","ids":{"openalex":"https://openalex.org/W3194717156","doi":"https://doi.org/10.23919/mva51890.2021.9511344","mag":"3194717156"},"language":"en","primary_location":{"id":"doi:10.23919/mva51890.2021.9511344","is_oa":false,"landing_page_url":"https://doi.org/10.23919/mva51890.2021.9511344","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 17th International Conference on Machine Vision and Applications (MVA)","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/A5017900383","display_name":"Marco Filax","orcid":"https://orcid.org/0000-0001-7436-1501"},"institutions":[{"id":"https://openalex.org/I95793202","display_name":"Otto-von-Guericke-Universit\u00e4t Magdeburg","ror":"https://ror.org/00ggpsq73","country_code":"DE","type":"education","lineage":["https://openalex.org/I95793202"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Marco Filax","raw_affiliation_strings":["Chair of Software Engineering, Otto-von-Guericke University, Germany"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Chair of Software Engineering, Otto-von-Guericke University, Germany","institution_ids":["https://openalex.org/I95793202"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5022743752","display_name":"Frank Ortmeier","orcid":"https://orcid.org/0000-0001-6186-4142"},"institutions":[{"id":"https://openalex.org/I95793202","display_name":"Otto-von-Guericke-Universit\u00e4t Magdeburg","ror":"https://ror.org/00ggpsq73","country_code":"DE","type":"education","lineage":["https://openalex.org/I95793202"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Frank Ortmeier","raw_affiliation_strings":["Chair of Software Engineering, Otto-von-Guericke University, Germany"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Chair of Software Engineering, Otto-von-Guericke University, Germany","institution_ids":["https://openalex.org/I95793202"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.0986,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.89507635,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"4"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10191","display_name":"Robotics and Sensor-Based Localization","score":0.9991999864578247,"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"}},"topics":[{"id":"https://openalex.org/T10191","display_name":"Robotics and Sensor-Based Localization","score":0.9991999864578247,"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/T10531","display_name":"Advanced Vision and Imaging","score":0.9979000091552734,"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":0.9976999759674072,"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/metric","display_name":"Metric (unit)","score":0.7991111874580383},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.7503033876419067},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.749809741973877},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6856486201286316},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.6446955800056458},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5062602758407593},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.41381093859672546}],"concepts":[{"id":"https://openalex.org/C176217482","wikidata":"https://www.wikidata.org/wiki/Q860554","display_name":"Metric (unit)","level":2,"score":0.7991111874580383},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.7503033876419067},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.749809741973877},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6856486201286316},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.6446955800056458},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5062602758407593},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.41381093859672546},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0},{"id":"https://openalex.org/C21547014","wikidata":"https://www.wikidata.org/wiki/Q1423657","display_name":"Operations management","level":1,"score":0.0},{"id":"https://openalex.org/C94625758","wikidata":"https://www.wikidata.org/wiki/Q7163","display_name":"Politics","level":2,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"score":0.0},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.23919/mva51890.2021.9511344","is_oa":false,"landing_page_url":"https://doi.org/10.23919/mva51890.2021.9511344","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 17th International Conference on Machine Vision and Applications (MVA)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Peace, Justice and strong institutions","score":0.8100000023841858,"id":"https://metadata.un.org/sdg/16"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":27,"referenced_works":["https://openalex.org/W1522301498","https://openalex.org/W1836465849","https://openalex.org/W2033819227","https://openalex.org/W2052094314","https://openalex.org/W2062118960","https://openalex.org/W2083358477","https://openalex.org/W2095705004","https://openalex.org/W2096733369","https://openalex.org/W2151103935","https://openalex.org/W2161946528","https://openalex.org/W2194775991","https://openalex.org/W2598634450","https://openalex.org/W2784874046","https://openalex.org/W2906621894","https://openalex.org/W2911663386","https://openalex.org/W2921388760","https://openalex.org/W2949117887","https://openalex.org/W2953684117","https://openalex.org/W2963686633","https://openalex.org/W2964121744","https://openalex.org/W2979787405","https://openalex.org/W3011927872","https://openalex.org/W3099206234","https://openalex.org/W3109684201","https://openalex.org/W3131435354","https://openalex.org/W6674330103","https://openalex.org/W6790264398"],"related_works":["https://openalex.org/W2062195135","https://openalex.org/W2961085424","https://openalex.org/W2795079307","https://openalex.org/W2793058541","https://openalex.org/W2755342338","https://openalex.org/W4224009465","https://openalex.org/W2959160600","https://openalex.org/W1983629434","https://openalex.org/W4324271173","https://openalex.org/W1967645776"],"abstract_inverted_index":{"Physical":[0],"objects":[1,36,98],"imaged":[2],"through":[3],"a":[4],"camera":[5],"change":[6],"their":[7,101],"visual":[8],"representation":[9],"based":[10,99],"on":[11,100],"various":[12,39],"factors,":[13],"c.g.,":[14],"illumination,":[15],"occlusion,":[16],"or":[17],"viewpoint":[18,80,119],"changes.":[19],"Thus,":[20],"it":[21],"is":[22,57,64,140],"the":[23,60,77,87,110,117,125],"inevitable":[24],"goal":[25],"in":[26,68,82,86,93,144],"computer":[27],"vision":[28],"systems":[29,85],"to":[30,38,44,49],"use":[31],"mathematical":[32],"representations":[33,56],"of":[34,62,79,89,112,133],"these":[35,54],"robust":[37],"changes":[40,81],"and":[41,142],"yet":[42],"sufficient":[43],"determine":[45],"even":[46],"minor":[47],"differences":[48,96],"distinguish":[50],"objects.":[51],"However,":[52],"finding":[53],"powerful":[55],"challenging":[58],"if":[59],"amount":[61],"data":[63],"limited,":[65],"such":[66],"as":[67],"few-shot":[69],"learning":[70,91],"problems.":[71],"In":[72],"this":[73],"work,":[74],"we":[75],"investigate":[76],"influence":[78],"modern":[83],"recognition":[84],"context":[88],"metric":[90],"problems,":[92],"which":[94],"fine-grained":[95],"differentiate":[97],"learned":[102],"numeric":[103],"representation.":[104],"Our":[105],"results":[106],"demonstrate":[107],"that":[108,130],"restricting":[109],"degrees":[111],"freedom,":[113],"especially":[114],"by":[115],"fixing":[116],"virtual":[118],"using":[120,137],"synthetic":[121],"frontal":[122],"views,":[123],"elevates":[124],"overall":[126],"performance.":[127],"We":[128],"await":[129],"our":[131],"observation":[132],"an":[134],"increased":[135],"performance":[136],"rectified":[138],"patches":[139],"persistent":[141],"reproducible":[143],"other":[145],"scenarios.":[146]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2022,"cited_by_count":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}