Graph Neural Network Combining Event Stream and Periodic Aggregation for Low-Latency Event-based Vision
This paper proposes a novel architecture combining an asynchronous accumulation-free event branch and a periodic aggregation branch to break the accuracy-latency trade-off. The solution enables ultra low-latency and low-power optical flow prediction from event cameras, achieving per-event prediction with a latency of tens of microseconds.