Differentiable Visual Computing : Challenges and Opportunities
Classical algorithms typically contain domain-specific insights. This makes them often more robust, interpretable, and efficient. On the other hand, deep-learning models must learn domain-specific insight from scratch from a large amount of data using gradient-based optimization techniques. To have...
| Publié dans: | IEEE computer graphics and applications. - 1991. - 42(2022), 2 vom: 30. März, Seite 101-109 |
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| Format: | Article en ligne |
| Langue: | English |
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2022
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| Accès à la collection: | IEEE computer graphics and applications |
| Sujets: | Journal Article |
| Accès en ligne |
Volltext |