{"id":"https://openalex.org/W3195621891","doi":"https://doi.org/10.1109/sera51205.2021.9509042","title":"Significance of Emphasized Features for Good Representation on Deep Metric Learning","display_name":"Significance of Emphasized Features for Good Representation on Deep Metric Learning","publication_year":2021,"publication_date":"2021-06-20","ids":{"openalex":"https://openalex.org/W3195621891","doi":"https://doi.org/10.1109/sera51205.2021.9509042","mag":"3195621891"},"language":"en","primary_location":{"id":"doi:10.1109/sera51205.2021.9509042","is_oa":false,"landing_page_url":"https://doi.org/10.1109/sera51205.2021.9509042","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 IEEE/ACIS 19th International Conference on Software Engineering Research, Management and Applications (SERA)","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/A5087977941","display_name":"Shozo Saeki","orcid":null},"institutions":[{"id":"https://openalex.org/I43545212","display_name":"Ehime University","ror":"https://ror.org/017hkng22","country_code":"JP","type":"education","lineage":["https://openalex.org/I43545212"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Shozo Saeki","raw_affiliation_strings":["Business Strategy Dept, FINDEX Inc., Matsuyama, Ehime, Japan, 790-0003","Graduate School of Science and Engineering, Ehime University, Matsuyama, Japan, 790-8577"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Business Strategy Dept, FINDEX Inc., Matsuyama, Ehime, Japan, 790-0003","institution_ids":[]},{"raw_affiliation_string":"Graduate School of Science and Engineering, Ehime University, Matsuyama, Japan, 790-8577","institution_ids":["https://openalex.org/I43545212"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5003703815","display_name":"Minoru Kawahara","orcid":"https://orcid.org/0000-0002-3542-5039"},"institutions":[{"id":"https://openalex.org/I43545212","display_name":"Ehime University","ror":"https://ror.org/017hkng22","country_code":"JP","type":"education","lineage":["https://openalex.org/I43545212"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Minoru Kawahara","raw_affiliation_strings":["Center for Information Technology, Ehime University, Matsuyama, Japan, 790-8577"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Center for Information Technology, Ehime University, Matsuyama, Japan, 790-8577","institution_ids":["https://openalex.org/I43545212"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5051406503","display_name":"Hirohisa Aman","orcid":"https://orcid.org/0000-0001-7074-5225"},"institutions":[{"id":"https://openalex.org/I43545212","display_name":"Ehime University","ror":"https://ror.org/017hkng22","country_code":"JP","type":"education","lineage":["https://openalex.org/I43545212"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Hirohisa Aman","raw_affiliation_strings":["Center for Information Technology, Ehime University, Matsuyama, Japan, 790-8577"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Center for Information Technology, Ehime University, Matsuyama, Japan, 790-8577","institution_ids":["https://openalex.org/I43545212"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.10164352,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"27","last_page":"32"},"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":0.9998000264167786,"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":0.9998000264167786,"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/T11448","display_name":"Face recognition and analysis","score":0.9983999729156494,"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":0.9975000023841858,"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/regularization","display_name":"Regularization (linguistics)","score":0.7994163036346436},{"id":"https://openalex.org/keywords/normalization","display_name":"Normalization (sociology)","score":0.6959832906723022},{"id":"https://openalex.org/keywords/embedding","display_name":"Embedding","score":0.6842229962348938},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6405104398727417},{"id":"https://openalex.org/keywords/feature-vector","display_name":"Feature vector","score":0.633151113986969},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.6295991539955139},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5976440906524658},{"id":"https://openalex.org/keywords/feature-learning","display_name":"Feature learning","score":0.5672730207443237},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.4607800543308258},{"id":"https://openalex.org/keywords/metric","display_name":"Metric (unit)","score":0.42674964666366577},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.32366853952407837}],"concepts":[{"id":"https://openalex.org/C2776135515","wikidata":"https://www.wikidata.org/wiki/Q17143721","display_name":"Regularization (linguistics)","level":2,"score":0.7994163036346436},{"id":"https://openalex.org/C136886441","wikidata":"https://www.wikidata.org/wiki/Q926129","display_name":"Normalization (sociology)","level":2,"score":0.6959832906723022},{"id":"https://openalex.org/C41608201","wikidata":"https://www.wikidata.org/wiki/Q980509","display_name":"Embedding","level":2,"score":0.6842229962348938},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6405104398727417},{"id":"https://openalex.org/C83665646","wikidata":"https://www.wikidata.org/wiki/Q42139305","display_name":"Feature vector","level":2,"score":0.633151113986969},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.6295991539955139},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5976440906524658},{"id":"https://openalex.org/C59404180","wikidata":"https://www.wikidata.org/wiki/Q17013334","display_name":"Feature learning","level":2,"score":0.5672730207443237},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.4607800543308258},{"id":"https://openalex.org/C176217482","wikidata":"https://www.wikidata.org/wiki/Q860554","display_name":"Metric (unit)","level":2,"score":0.42674964666366577},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.32366853952407837},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C19165224","wikidata":"https://www.wikidata.org/wiki/Q23404","display_name":"Anthropology","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/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"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/C21547014","wikidata":"https://www.wikidata.org/wiki/Q1423657","display_name":"Operations management","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/sera51205.2021.9509042","is_oa":false,"landing_page_url":"https://doi.org/10.1109/sera51205.2021.9509042","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 IEEE/ACIS 19th International Conference on Software Engineering Research, Management and Applications (SERA)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":44,"referenced_works":["https://openalex.org/W1532325895","https://openalex.org/W1797268635","https://openalex.org/W1799366690","https://openalex.org/W1836465849","https://openalex.org/W1959608418","https://openalex.org/W1994488211","https://openalex.org/W2096733369","https://openalex.org/W2097117768","https://openalex.org/W2117539524","https://openalex.org/W2138011018","https://openalex.org/W2138621090","https://openalex.org/W2471768434","https://openalex.org/W2549858646","https://openalex.org/W2555897561","https://openalex.org/W2605102252","https://openalex.org/W2607308722","https://openalex.org/W2613997951","https://openalex.org/W2785968631","https://openalex.org/W2895347732","https://openalex.org/W2895608766","https://openalex.org/W2962866702","https://openalex.org/W2963026686","https://openalex.org/W2963350250","https://openalex.org/W2963588253","https://openalex.org/W2964271799","https://openalex.org/W2991234496","https://openalex.org/W3014476180","https://openalex.org/W3034202663","https://openalex.org/W3035014997","https://openalex.org/W3091905774","https://openalex.org/W3099206234","https://openalex.org/W4213009331","https://openalex.org/W4299518610","https://openalex.org/W4320518385","https://openalex.org/W6638444622","https://openalex.org/W6638667902","https://openalex.org/W6640963894","https://openalex.org/W6682132143","https://openalex.org/W6730323794","https://openalex.org/W6737209845","https://openalex.org/W6745837665","https://openalex.org/W6747665237","https://openalex.org/W6771249120","https://openalex.org/W6783596713"],"related_works":["https://openalex.org/W2953716828","https://openalex.org/W2904857019","https://openalex.org/W2944728705","https://openalex.org/W3011538607","https://openalex.org/W2904022177","https://openalex.org/W2591697403","https://openalex.org/W2786094008","https://openalex.org/W3131501806","https://openalex.org/W2799683370","https://openalex.org/W2807745940"],"abstract_inverted_index":{"Deep":[0],"metric":[1],"learning":[2],"(DML)":[3],"learns":[4],"the":[5,102,105],"mapping,":[6],"which":[7,13,90],"maps":[8],"into":[9],"embedding":[10],"space":[11],"in":[12],"similar":[14],"data":[15,20,111],"is":[16,21,91],"near":[17],"and":[18,32,59,97,117],"dissimilar":[19],"far.":[22],"Most":[23],"DML":[24,73],"frameworks":[25],"apply":[26,47],"L2":[27,64],"normalization":[28],"to":[29,46,51],"feature":[30,34,52,80],"vectors,":[31],"these":[33],"vectors":[35],"are":[36],"non-sparse":[37],"[6],":[38],"[10],":[39],"[30].":[40],"In":[41,82],"this":[42,83],"paper,":[43,84],"we":[44,85],"propose":[45,87],"L1":[48,67,76,98],"regularization":[49,55,68,77],"loss":[50,96,108],"vectors.":[53,81],"Proposed":[54],"emphasizes":[56],"important":[57],"features":[58,62],"restraints":[60],"unimportant":[61],"on":[63,109],"normalized":[65],"features.":[66],"can":[69],"combine":[70],"with":[71],"general":[72],"losses":[74],"because":[75],"only":[78],"regularizes":[79],"finally":[86],"SparseSoft-Triple":[88],"loss,":[89],"a":[92],"combination":[93],"of":[94,104],"SoftTriple":[95],"regularization.":[99],"We":[100],"demonstrate":[101],"effectiveness":[103],"proposed":[106],"SparseSoftTriple":[107],"some":[110],"sets":[112],"for":[113],"image":[114],"retrieval":[115],"tasks":[116],"fine-grained":[118],"images.":[119]},"counts_by_year":[],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}