Compressed event sensing (CES) volumes for event cameras
Deep learning has made significant progress in event-driven applications. But to match standard vision networks, most approaches rely on aggregating events into grid-like representations, which obscure crucial temporal information and limit overall performance. To address this issue, we propose a no...
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Main Authors: | , , , |
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格式: | Article |
語言: | English |
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2024
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在線閱讀: | https://hdl.handle.net/10356/180781 |
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機構: | Nanyang Technological University |
語言: | English |