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HFM: A Hybrid Feature Model Based on Conditional Auto Encoders for Zero-Shot Learning
Zero-Shot Learning (ZSL) is related to training machine learning models capable of classifying or predicting classes (labels) that are not involved in the training set (unseen classes). A well-known problem in Deep Learning (DL) is the requirement for large amount of training data. Zero-Shot learnin...
| Autores principales: | , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
MDPI
2022
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9225515/ https://www.ncbi.nlm.nih.gov/pubmed/35735970 http://dx.doi.org/10.3390/jimaging8060171 |