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Huajin Tang

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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...

Huaning Li, Ziming Wang, Runhao Jiang et al. · 1 citation
Aug 2026

OT-SAN: One Timestep Spiking Actor Network With Mask-Adaptive Global Connection and Dynamic Thresholds

Spiking neural networks (SNNs) have garnered significant attention in reinforcement learning tasks for their low power consumption. However, traditional spiking reinforcement learning (SRL) methods, which rely on local-connected encoding and fixed-threshold learning, struggle to capture the inter-dimensional correlatio...

Rong Xiao, Zhi-Yuan Hu, Ping He et al. · 0 citations

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