FAPNet: An Effective Frequency Adaptive Point-based Eye Tracker
Eye tracking is crucial for human-computer interaction in different domains. Conventional
cameras encounter challenges such as power consumption and image quality during …
cameras encounter challenges such as power consumption and image quality during …
Enhanced Temporal Processing in Spiking Neural Networks for Static Object Detection Using 3D Convolutions
H He - arXiv preprint arXiv:2412.17654, 2024 - arxiv.org
Spiking Neural Networks (SNNs) are a class of network models capable of processing
spatiotemporal information, with event-driven characteristics and energy efficiency …
spatiotemporal information, with event-driven characteristics and energy efficiency …
Enhancing Robustness of Spiking Neural Networks Through Retina-Like Coding and Memory-Based Neurons
Spiking neural networks (SNNs) are emerging as a promising alternative to traditional
artificial neural networks (ANNs), offering advantages such as lower power consumption …
artificial neural networks (ANNs), offering advantages such as lower power consumption …
An Improved Algorithm for Spiking Neural Networks with Multi-Scale Attention Coding
S Chen, X Chen, W Li - 2024 International Conference on …, 2024 - ieeexplore.ieee.org
Spiking Neural Networks (SNNs), driven by spike-based mechanisms, are known for their
high efficiency and low energy consumption, which makes them ideal for applications like …
high efficiency and low energy consumption, which makes them ideal for applications like …