The IPCNN method achieves a better segmentation result without training, providing a new solution for the real-time transmission of image semantic information.
In contrast, the Pulse Coupled Neural Network (PCNN) has fewer parameters, making it more suitable for processing real-time scene tasks such as image ...
Oct 22, 2024 · Therefore, obtaining both low-level and high-level features of an image simultaneously is beneficial for generating more appropriate ...
A recurrent tongue image inpainting algorithm based on multi-scale feature fusion called Multi-Scale Fusion Module and Recurrent Attention Mechanism Network ...
An improved pulse coupled neural networks model for semantic IoT ... Authors: Rong Ma; Zhen Zhang; Yide Ma; Xiping Hu; Edith C.H. Ngai; Victor C.M. Leung. Funder ...
An improved pulse coupled neural networks model for semantic IoT. · management system · probabilistic model · semantic web · computational model · high level ...
Jun 29, 2023 · 然而，PCNN的参数是通过反复试验确定的，这限制了其应用。为了克服这一限制，本文提出了一种改进的脉冲耦合神经网络（IPCNN）模型。 IPCNN构建了输入图像的静态 ...
Apr 17, 2022 · ... An improved pulse coupled neural networks model for semantic IoT. June 2023 · Digital Communications and Networks. Rong Ma · Zhen Zhang · Yide ...
Pulse-coupled neural network (PCNN) and its modified models are suitable for dealing with multi-focus and medical image fusion tasks.
Missing: semantic | Show results with:semantic
An improved pulse coupled neural networks model for semantic IoT. Rong Ma, Zhen Zhang, Yide Ma, Xiping Hu, ... Victor C.M. Leung. Pages 557-567: View PDF.