{"id":"https://openalex.org/W4388498831","doi":"https://doi.org/10.1007/s11042-023-17583-0","title":"Balanced complement loss for long-tailed image classification","display_name":"Balanced complement loss for long-tailed image classification","publication_year":2023,"publication_date":"2023-11-08","ids":{"openalex":"https://openalex.org/W4388498831","doi":"https://doi.org/10.1007/s11042-023-17583-0"},"language":"en","primary_location":{"id":"doi:10.1007/s11042-023-17583-0","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1007/s11042-023-17583-0","pdf_url":null,"source":{"id":"https://openalex.org/S110206669","display_name":"Multimedia Tools and Applications","issn_l":"1380-7501","issn":["1380-7501","1573-7721"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Multimedia Tools and Applications","raw_type":"journal-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/A5007918969","display_name":"Luyu Hu","orcid":"https://orcid.org/0000-0002-3337-1823"},"institutions":[{"id":"https://openalex.org/I37987034","display_name":"Guangzhou University","ror":"https://ror.org/05ar8rn06","country_code":"CN","type":"education","lineage":["https://openalex.org/I37987034"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Luyu Hu","raw_affiliation_strings":["Huangpu Research & Graduate School of Guangzhou University, Guangzhou, 510555, People\u2019s Republic of China","School of Electronics and Communication Engineering, Guangzhou University, Guangzhou, 510006, People\u2019s Republic of China","School of Electronics and Communication Engineering, Guangzhou University, Guangzhou, 510006, People's Republic of China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Huangpu Research & Graduate School of Guangzhou University, Guangzhou, 510555, People\u2019s Republic of China","institution_ids":["https://openalex.org/I37987034"]},{"raw_affiliation_string":"School of Electronics and Communication Engineering, Guangzhou University, Guangzhou, 510006, People\u2019s Republic of China","institution_ids":["https://openalex.org/I37987034"]},{"raw_affiliation_string":"School of Electronics and Communication Engineering, Guangzhou University, Guangzhou, 510006, People's Republic of China","institution_ids":["https://openalex.org/I37987034"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101946741","display_name":"Zhao Yang","orcid":"https://orcid.org/0000-0003-4688-1395"},"institutions":[{"id":"https://openalex.org/I37987034","display_name":"Guangzhou University","ror":"https://ror.org/05ar8rn06","country_code":"CN","type":"education","lineage":["https://openalex.org/I37987034"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Zhao Yang","raw_affiliation_strings":["Huangpu Research & Graduate School of Guangzhou University, Guangzhou, 510555, People\u2019s Republic of China","School of Electronics and Communication Engineering, Guangzhou University, Guangzhou, 510006, People\u2019s Republic of China","School of Electronics and Communication Engineering, Guangzhou University, Guangzhou, 510006, People's Republic of China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Huangpu Research & Graduate School of Guangzhou University, Guangzhou, 510555, People\u2019s Republic of China","institution_ids":["https://openalex.org/I37987034"]},{"raw_affiliation_string":"School of Electronics and Communication Engineering, Guangzhou University, Guangzhou, 510006, People\u2019s Republic of China","institution_ids":["https://openalex.org/I37987034"]},{"raw_affiliation_string":"School of Electronics and Communication Engineering, Guangzhou University, Guangzhou, 510006, People's Republic of China","institution_ids":["https://openalex.org/I37987034"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102577161","display_name":"Yamei Dou","orcid":null},"institutions":[{"id":"https://openalex.org/I37987034","display_name":"Guangzhou University","ror":"https://ror.org/05ar8rn06","country_code":"CN","type":"education","lineage":["https://openalex.org/I37987034"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yamei Dou","raw_affiliation_strings":["Huangpu Research & Graduate School of Guangzhou University, Guangzhou, 510555, People\u2019s Republic of China","School of Electronics and Communication Engineering, Guangzhou University, Guangzhou, 510006, People\u2019s Republic of China","School of Electronics and Communication Engineering, Guangzhou University, Guangzhou, 510006, People's Republic of China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Huangpu Research & Graduate School of Guangzhou University, Guangzhou, 510555, People\u2019s Republic of China","institution_ids":["https://openalex.org/I37987034"]},{"raw_affiliation_string":"School of Electronics and Communication Engineering, Guangzhou University, Guangzhou, 510006, People\u2019s Republic of China","institution_ids":["https://openalex.org/I37987034"]},{"raw_affiliation_string":"School of Electronics and Communication Engineering, Guangzhou University, Guangzhou, 510006, People's Republic of China","institution_ids":["https://openalex.org/I37987034"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100328389","display_name":"Jiahao Li","orcid":"https://orcid.org/0000-0003-1168-8229"},"institutions":[{"id":"https://openalex.org/I37987034","display_name":"Guangzhou University","ror":"https://ror.org/05ar8rn06","country_code":"CN","type":"education","lineage":["https://openalex.org/I37987034"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jiahao Li","raw_affiliation_strings":["Huangpu Research & Graduate School of Guangzhou University, Guangzhou, 510555, People\u2019s Republic of China","School of Electronics and Communication Engineering, Guangzhou University, Guangzhou, 510006, People\u2019s Republic of China","School of Electronics and Communication Engineering, Guangzhou University, Guangzhou, 510006, People's Republic of China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Huangpu Research & Graduate School of Guangzhou University, Guangzhou, 510555, People\u2019s Republic of China","institution_ids":["https://openalex.org/I37987034"]},{"raw_affiliation_string":"School of Electronics and Communication Engineering, Guangzhou University, Guangzhou, 510006, People\u2019s Republic of China","institution_ids":["https://openalex.org/I37987034"]},{"raw_affiliation_string":"School of Electronics and Communication Engineering, Guangzhou University, Guangzhou, 510006, People's Republic of China","institution_ids":["https://openalex.org/I37987034"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5101946741"],"corresponding_institution_ids":["https://openalex.org/I37987034"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.14869827,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"83","issue":"17","first_page":"52989","last_page":"53007"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11307","display_name":"Domain Adaptation and Few-Shot Learning","score":0.9997000098228455,"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"}},"topics":[{"id":"https://openalex.org/T11307","display_name":"Domain Adaptation and Few-Shot Learning","score":0.9997000098228455,"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"}},{"id":"https://openalex.org/T10036","display_name":"Advanced Neural Network Applications","score":0.9993000030517578,"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/T11775","display_name":"COVID-19 diagnosis using AI","score":0.9983999729156494,"subfield":{"id":"https://openalex.org/subfields/2741","display_name":"Radiology, Nuclear Medicine and Imaging"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/complement","display_name":"Complement (music)","score":0.8668824434280396},{"id":"https://openalex.org/keywords/softmax-function","display_name":"Softmax function","score":0.8294390439987183},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7558183073997498},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5718885064125061},{"id":"https://openalex.org/keywords/cross-entropy","display_name":"Cross entropy","score":0.556719183921814},{"id":"https://openalex.org/keywords/entropy","display_name":"Entropy (arrow of time)","score":0.49422815442085266},{"id":"https://openalex.org/keywords/ground-truth","display_name":"Ground truth","score":0.4732010066509247},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4574134051799774},{"id":"https://openalex.org/keywords/contextual-image-classification","display_name":"Contextual image classification","score":0.4255812168121338},{"id":"https://openalex.org/keywords/class","display_name":"Class (philosophy)","score":0.41418159008026123},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.39353638887405396},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.3840714395046234},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.09268045425415039},{"id":"https://openalex.org/keywords/biology","display_name":"Biology","score":0.07223135232925415}],"concepts":[{"id":"https://openalex.org/C112313634","wikidata":"https://www.wikidata.org/wiki/Q7886648","display_name":"Complement (music)","level":5,"score":0.8668824434280396},{"id":"https://openalex.org/C188441871","wikidata":"https://www.wikidata.org/wiki/Q7554146","display_name":"Softmax function","level":3,"score":0.8294390439987183},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7558183073997498},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5718885064125061},{"id":"https://openalex.org/C167981619","wikidata":"https://www.wikidata.org/wiki/Q1685498","display_name":"Cross entropy","level":3,"score":0.556719183921814},{"id":"https://openalex.org/C106301342","wikidata":"https://www.wikidata.org/wiki/Q4117933","display_name":"Entropy (arrow of time)","level":2,"score":0.49422815442085266},{"id":"https://openalex.org/C146849305","wikidata":"https://www.wikidata.org/wiki/Q370766","display_name":"Ground truth","level":2,"score":0.4732010066509247},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4574134051799774},{"id":"https://openalex.org/C75294576","wikidata":"https://www.wikidata.org/wiki/Q5165192","display_name":"Contextual image classification","level":3,"score":0.4255812168121338},{"id":"https://openalex.org/C2777212361","wikidata":"https://www.wikidata.org/wiki/Q5127848","display_name":"Class (philosophy)","level":2,"score":0.41418159008026123},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.39353638887405396},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.3840714395046234},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.09268045425415039},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.07223135232925415},{"id":"https://openalex.org/C188082640","wikidata":"https://www.wikidata.org/wiki/Q1780899","display_name":"Complementation","level":4,"score":0.0},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0},{"id":"https://openalex.org/C127716648","wikidata":"https://www.wikidata.org/wiki/Q104053","display_name":"Phenotype","level":3,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1007/s11042-023-17583-0","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1007/s11042-023-17583-0","pdf_url":null,"source":{"id":"https://openalex.org/S110206669","display_name":"Multimedia Tools and Applications","issn_l":"1380-7501","issn":["1380-7501","1573-7721"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Multimedia Tools and Applications","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":34,"referenced_works":["https://openalex.org/W1981276685","https://openalex.org/W2108598243","https://openalex.org/W2118978333","https://openalex.org/W2142402086","https://openalex.org/W2148143831","https://openalex.org/W2159942517","https://openalex.org/W2194775991","https://openalex.org/W2339172597","https://openalex.org/W2440599146","https://openalex.org/W2469885745","https://openalex.org/W2767106145","https://openalex.org/W2798381792","https://openalex.org/W2955488837","https://openalex.org/W2962895364","https://openalex.org/W2962933664","https://openalex.org/W2963212406","https://openalex.org/W2963351448","https://openalex.org/W2963691377","https://openalex.org/W2964285681","https://openalex.org/W3010512657","https://openalex.org/W3034601242","https://openalex.org/W3035054804","https://openalex.org/W3035552357","https://openalex.org/W3096688134","https://openalex.org/W3097255365","https://openalex.org/W3120093105","https://openalex.org/W3128945844","https://openalex.org/W3182635745","https://openalex.org/W3189075232","https://openalex.org/W3203170887","https://openalex.org/W3204977009","https://openalex.org/W4225141564","https://openalex.org/W6600140940","https://openalex.org/W6600756316"],"related_works":["https://openalex.org/W4367154275","https://openalex.org/W2911303748","https://openalex.org/W2913125146","https://openalex.org/W4310030444","https://openalex.org/W4225630782","https://openalex.org/W4380994319","https://openalex.org/W4229443568","https://openalex.org/W4390823696","https://openalex.org/W4287163743","https://openalex.org/W3207800728"],"abstract_inverted_index":null,"counts_by_year":[],"updated_date":"2026-01-24T23:23:39.755997","created_date":"2025-10-10T00:00:00"}
