{"id":"https://openalex.org/W3194611307","doi":"https://doi.org/10.1109/icip42928.2021.9506245","title":"Generalized Zero-Shot Recognition Through Image-Guided Semantic Classification","display_name":"Generalized Zero-Shot Recognition Through Image-Guided Semantic Classification","publication_year":2021,"publication_date":"2021-08-23","ids":{"openalex":"https://openalex.org/W3194611307","doi":"https://doi.org/10.1109/icip42928.2021.9506245","mag":"3194611307"},"language":"en","primary_location":{"id":"doi:10.1109/icip42928.2021.9506245","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icip42928.2021.9506245","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/A5010406288","display_name":"Fang Li","orcid":"https://orcid.org/0000-0001-6804-2651"},"institutions":[{"id":"https://openalex.org/I134161618","display_name":"National Taiwan Normal University","ror":"https://ror.org/059dkdx38","country_code":"TW","type":"education","lineage":["https://openalex.org/I134161618"]}],"countries":["TW"],"is_corresponding":true,"raw_author_name":"Fang Li","raw_affiliation_strings":["National Taiwan Normal University,Department of Computer Science and Information Engineering"],"affiliations":[{"raw_affiliation_string":"National Taiwan Normal University,Department of Computer Science and Information Engineering","institution_ids":["https://openalex.org/I134161618"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5018553457","display_name":"Mei-Chen Yeh","orcid":"https://orcid.org/0000-0001-8665-7860"},"institutions":[{"id":"https://openalex.org/I134161618","display_name":"National Taiwan Normal University","ror":"https://ror.org/059dkdx38","country_code":"TW","type":"education","lineage":["https://openalex.org/I134161618"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Mei-Chen Yeh","raw_affiliation_strings":["National Taiwan Normal University,Department of Computer Science and Information Engineering"],"affiliations":[{"raw_affiliation_string":"National Taiwan Normal University,Department of Computer Science and Information Engineering","institution_ids":["https://openalex.org/I134161618"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5010406288"],"corresponding_institution_ids":["https://openalex.org/I134161618"],"apc_list":null,"apc_paid":null,"fwci":0.4079,"has_fulltext":false,"cited_by_count":5,"citation_normalized_percentile":{"value":0.68621489,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"2483","last_page":"2487"},"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":0.9998000264167786,"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":0.9998000264167786,"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/T11714","display_name":"Multimodal Machine Learning Applications","score":0.9574000239372253,"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/T11581","display_name":"Viral Infections and Outbreaks Research","score":0.9077000021934509,"subfield":{"id":"https://openalex.org/subfields/2725","display_name":"Infectious Diseases"},"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/embedding","display_name":"Embedding","score":0.7571871280670166},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.7040414810180664},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6916536092758179},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6827794909477234},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.6038891673088074},{"id":"https://openalex.org/keywords/contextual-image-classification","display_name":"Contextual image classification","score":0.5451648831367493},{"id":"https://openalex.org/keywords/inference","display_name":"Inference","score":0.49978041648864746},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.40135782957077026}],"concepts":[{"id":"https://openalex.org/C41608201","wikidata":"https://www.wikidata.org/wiki/Q980509","display_name":"Embedding","level":2,"score":0.7571871280670166},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.7040414810180664},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6916536092758179},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6827794909477234},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.6038891673088074},{"id":"https://openalex.org/C75294576","wikidata":"https://www.wikidata.org/wiki/Q5165192","display_name":"Contextual image classification","level":3,"score":0.5451648831367493},{"id":"https://openalex.org/C2776214188","wikidata":"https://www.wikidata.org/wiki/Q408386","display_name":"Inference","level":2,"score":0.49978041648864746},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.40135782957077026}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icip42928.2021.9506245","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icip42928.2021.9506245","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":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320308258","display_name":"Qualcomm","ror":"https://ror.org/002zrf773"},{"id":"https://openalex.org/F4320309618","display_name":"Ministry of Science and Technology","ror":"https://ror.org/02b207r52"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":31,"referenced_works":["https://openalex.org/W27961112","https://openalex.org/W652269744","https://openalex.org/W2109317801","https://openalex.org/W2123024445","https://openalex.org/W2124033848","https://openalex.org/W2128532956","https://openalex.org/W2150295085","https://openalex.org/W2250646737","https://openalex.org/W2289084343","https://openalex.org/W2334493732","https://openalex.org/W2400717490","https://openalex.org/W2889587173","https://openalex.org/W2910453440","https://openalex.org/W2924476266","https://openalex.org/W2962791511","https://openalex.org/W2962824231","https://openalex.org/W2962903908","https://openalex.org/W2963283377","https://openalex.org/W2963499153","https://openalex.org/W2963955422","https://openalex.org/W2982407353","https://openalex.org/W3035655772","https://openalex.org/W4320013936","https://openalex.org/W6601146891","https://openalex.org/W6678360021","https://openalex.org/W6678470764","https://openalex.org/W6682222085","https://openalex.org/W6712977221","https://openalex.org/W6749074686","https://openalex.org/W6754700304","https://openalex.org/W6756039092"],"related_works":["https://openalex.org/W2081900870","https://openalex.org/W2345479200","https://openalex.org/W2183306018","https://openalex.org/W2055243143","https://openalex.org/W2849310602","https://openalex.org/W3006008237","https://openalex.org/W2419146053","https://openalex.org/W2312145515","https://openalex.org/W2005234362","https://openalex.org/W1997235926"],"abstract_inverted_index":{"We":[0,82],"present":[1],"a":[2,50,63,71],"new":[3],"visual-semantic":[4],"embedding":[5],"method":[6,48],"for":[7,28],"generalized":[8],"zero-shot":[9],"learning.":[10],"Different":[11],"to":[12,56,60,66],"existing":[13],"embedding-based":[14],"methods":[15],"that":[16],"learn":[17,32],"the":[18,33,46,67],"correspondence":[19],"between":[20,35],"an":[21,36,43],"image":[22,37,75],"classifier":[23,52,73],"and":[24,38,53,77],"its":[25,39],"class":[26],"prototype":[27],"each":[29],"class,":[30],"we":[31],"mapping":[34],"semantic":[40,72],"classifier.":[41],"Given":[42],"input":[44,68],"image,":[45],"proposed":[47],"creates":[49],"label":[51,58,64],"applies":[54],"it":[55],"all":[57],"embeddings":[59],"determine":[61],"whether":[62],"belongs":[65],"image.":[69],"Therefore,":[70],"is":[74,78],"conditioned":[76],"generated":[79],"during":[80],"inference.":[81],"validate":[83],"our":[84],"approach":[85],"with":[86],"four":[87],"standard":[88],"benchmark":[89],"datasets.":[90]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
