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...
| Veröffentlicht in: | IEEE computer graphics and applications. - 1991. - 42(2022), 2 vom: 30. März, Seite 101-109 |
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| Format: | Online-Aufsatz |
| Sprache: | English |
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2022
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| Zugriff auf das übergeordnete Werk: | IEEE computer graphics and applications |
| Schlagworte: | Journal Article |
| Online verfügbar |
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