More recently, federated learning and fractional wavelet scattering network have been proposed to solve the problems above. To address this issue, we in this paper proposed a deep federated radio fingerprinting based on fractional wavelet scattering network (DFFNet) which can acquire the subtle ...
DFF(Deep Feature Fusion)是一种用于图像识别和计算机视觉任务的深度学习算法。它的基本原理是将不同层次的特征图进行融合,以获取更丰富、更准确的特征表示。 DFF的基本流程如下: 1. 输入图像通过卷积神经网络(CNN)进行特征提取,得到不同层次的特征图。 2. 对每个特征图进行维度变换,使其具有相同的通道数。 3. ...
To address this challenge, we propose a novel sEMG-based gesture recognition algorithm, namely, Narrow Kernel and Dual-view Feature Fusion Convolutional Neural Network (NKDFF-CNN). Firstly, to overcome the issue of traditional square kernel convolution operation, which loses channel independence ...
文章来源: Flow-Guided Feature Aggregation for Video Object Detection Introduction FGFA 是Deep Feature Flow的拓展工作。其主要思路是通过光流融合相邻帧的特征图来增强本征的特征。DFF为了提升速度而牺牲精度,而FGFA为了精度而牺牲速度。 Network Architecture 图中左右间隔K=10,聚合...问答精选Green...
Zhou, L., Mao, Q., Xue, L.: Dual-inception network for cross-database micro-expression recognition. In: FG 2019, pp. 1–5. IEEE (2019) Google Scholar Liong, S.-T., Gan, Y.S., See, J., Khor, H.-Q., Huang, Y.-C.: Shallow triple stream three-dimensional CNN (STSTNet)...
To address these issues, we propose a dual-domain feature fusion deep convolutional neural network (DFFKI-Net). DFFKI-Net is innovatively designed as a three-part cascade consisting of the K-space Domain Reconstruction Module (KDRM), Image Domain Reconstruction Module (IDRM), and Deep Parallel...
According to news reporting out of Xi'an, People'sRepublic of China, by VerticalNews editors, research stated, "This paper proposes DFFA-Net, a noveldifferential convolutional neural network designed for underwater optical image dehazing." 关键词: Northwestern Polytechnical University Xi’an People’...
DL常用的算法结构有多种,包括深度神经网络(deep neural network,DNN)、卷积神经网络(convolutional neural network,CNN)及循环神经网络(recurrent neural network,RNN)等,这些算法结构可应用于图像自动化分割、数据特征的挖掘和提取,建立分类和预测模型,从而提升任务的准...
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