Abstract: Event data can asynchronously capture variations in light intensity, thereby implicitly providing valuable complementary cues for RGB-Event tracking. Existing methods typically employ a ...
Abstract: This paper proposed an algorithm-hardware co-design of an event-driven spiking neural network (SNN) accelerator for classification tasks of event-based data from dynamic vision sensors (DVS) ...
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