Mar 15, 2024 · We propose a novel Attention-based SNN-ANN bridge module to capture sparse spatial and temporal relations from the SNN layer and convert them into dense ...
In this work, we introduce the first Hybrid Attention-based SNN-ANN backbone for object detection using event cameras.
A Hybrid SNN-ANN Network for Event-based Object Detection with Spatial and Temporal Attention ... Event cameras offer high temporal resolution and dynamic range ...
A Hybrid SNN-ANN Network for Event-based Object Detection with Spatial and Temporal Attention ... Hybrid SNN-ANN Architecture for Event-based Optical Flow ...
Hybrid networks are promising architectures to further advance machine learning approaches for event-based vision, without having to compromise on efficiency.
Mar 15, 2024 · 我们提出了一种新颖的基于注意力的SNN-ANN桥接模块，以从SNN层中捕获稀疏的空间和时间关系，并将其转换为ANN骨干网络的密集特征图。实验结果表明，我们提出的 ...
Aug 8, 2023 · The spiking neural network (SNN) is a bionic model that is energy-efficient when implemented on neuromorphic hardwares.
A Hybrid SNN-ANN Network for Event-based Object Detection with Spatial and Temporal Attention · A novel stochastic resonance based deep residual network for ...
EMS-YOLO is proposed, a novel directly-trained SNN framework for object detection, which is the first trial to train a deep SNN with surrogate gradients for ...
In this paper, we propose the feature Refine-and-Mask SNN (RM-SNN), which has the ability of self-adaption to regulate the spiking response in a data-dependent ...
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