Generalized Zero-Shot Learning for Image Classification—Comparing Performance of Popular Approaches
There are many areas where conventional supervised machine learning does not work well, for instance, in cases with a large, or systematically increasing, number of countably infinite classes. <i>Zero-shot learning</i> has been proposed to address this. In generalized settings, the zero-shot learnin...
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| 主要な著者: | , , , , , , , |
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| フォーマット: | Artigo |
| 言語: | Inglês |
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MDPI AG
2022-11-01
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| シリーズ: | Information |
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| オンライン･アクセス: | https://www.mdpi.com/2078-2489/13/12/561 |
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