Spike-driven Discrete Aggregation for Event-based Object Detection
The Spiking Discrete Aggregation (SDA) module is implemented, inspired by the threshold-based spike firing mechanism in Spiking Neural Networks (SNNs) and implemented using gated recurrent spiking neurons, and the Multi-Timescale Fusion (MTF) method which leverages coarse-grained temporal features from continuous event streams to further enhance the representation capability of SDA.
Huaning Li, Ziming Wang, Runhao Jiang et al.
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