WebMay 2, 2024 · DRGCN: Dual Residual Graph Convolutional Network for Hyperspectral Image Classification Abstract: Recently, graph convolutional network (GCN) has drawn … WebAug 1, 2024 · To extract degradation-sensitive features from complex vibration signals, this paper proposes a new dual residual attention network (DRAN) to improve prediction performance. A frequency band residual attention (FBRA) block is first designed to automatically discover important frequency bands related to bearing degradation.
Image Super-Resolution Reconstruction Based on Dual Residual Network
WebMar 21, 2024 · In this paper, we study design of deep neural networks for tasks of image restoration. We propose a novel style of residual connections dubbed "dual residual connection", which exploits the potential of paired operations, e.g., up- and down-sampling or convolution with large- and small-size kernels. We design a modular block … WebTo further boost the expressive ability of our network, we propose a contrast-enhanced residual block (CRB), which is used as each cell block of the dual mutual-feedback component, as shown in Figure 5. CRB uses contrast-enhanced channel attention and spatial attention within the residual block. digital image microsoft free download
Lightweight Dual Mutual-Feedback Network for Artificial …
WebJul 17, 2024 · LiuzhuForFun on Jul 17, 2024. For denoising, I follow the paper "Exploiting the Potential of Standard Convolutional Autoencoders for Image Restoration by Evolutionary Search" (ICML18, the SOTA at that time) For de-raindrop, I follow "Attentive Generative Adversarial Network for Raindrop Removal from A Single Image" (CVPR'18, the SOTA … WebApr 13, 2024 · A deep residual network (deep ResNet) is a type of specialized neural network that helps to handle more sophisticated deep learning tasks and models. It has … WebMay 2, 2024 · DRGCN: Dual Residual Graph Convolutional Network for Hyperspectral Image Classification Abstract: Recently, graph convolutional network (GCN) has drawn increasing attention in hyperspectral image (HSI) classification, as it can process arbitrary non-Euclidean data. digital image manipulation ethics