A Fully Spiking Hybrid Neural Network for Energy-Efficient Object Detection
Sign Up to like & getrecommendations! Published in 2021 at "IEEE Transactions on Image Processing"
DOI: 10.1109/tip.2021.3122092
Abstract: This paper proposes a Fully Spiking Hybrid Neural Network (FSHNN) for energy-efficient and robust object detection in resource-constrained platforms. The network architecture is based on a Spiking Convolutional Neural Network using leaky-integrate-fire neuron models. The… read more here.
Keywords: fully spiking; neural network; energy efficient; network ... See more keywords
Fully Spiking Actor Network With Intralayer Connections for Reinforcement Learning
Sign Up to like & getrecommendations! Published in 2024 at "IEEE Transactions on Neural Networks and Learning Systems"
DOI: 10.1109/tnnls.2024.3352653
Abstract: With the help of special neuromorphic hardware, spiking neural networks (SNNs) are expected to realize artificial intelligence (AI) with less energy consumption. It provides a promising energy-efficient way for realistic control tasks by combining SNNs… read more here.
Keywords: fully spiking; spiking actor; intralayer connections; actor network ... See more keywords