Reliable Event Generation With Invertible Conditional Normalizing Flow
Event streams provide a novel paradigm to describe visual scenes by capturing intensity variations above specific thresholds along with various types of noise. Existing event generation methods usually rely on one-way mappings using hand-crafted parameters and noise rates, which may not adequately s...
Ausführliche Beschreibung
Bibliographische Detailangaben
| Veröffentlicht in: | IEEE transactions on pattern analysis and machine intelligence. - 1979. - 46(2024), 2 vom: 09. Jan., Seite 927-943
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| 1. Verfasser: |
Gu, Daxin
(VerfasserIn) |
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| Weitere Verfasser: |
Li, Jia,
Zhu, Lin,
Zhang, Yu,
Ren, Jimmy S |
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| Format: | Online-Aufsatz
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| Sprache: | English |
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| Veröffentlicht: |
2024
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| Zugriff auf das übergeordnete Werk: | IEEE transactions on pattern analysis and machine intelligence
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| Schlagworte: | Journal Article |
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