Convolutional neural networkMulti-scale attention mechanismWith the rapid increase of data availability, time series classification (TSC) has arisen in a wide range of fields and drawn great attention of researchers. Recently, hundreds of TSC approaches have been developed, which can be classified ...
To address this concern, we introduce EMCAD, a new efficient multi-scale convolutional attention decoder, designed to optimize both performance and computational efficiency. EMCAD leverages a unique multi-scale depth-wise convolution block, significantly enhancing feature maps through multi-scale convolution...
3.AGCN模块的流程图 在标准自注意力机制(Vanilla Self-Attention) 中,所有 Value 矩阵 VhV_hVh 通过共享参数矩阵 Wvh进行线性变换。AGCN 在图窗口内使用非共享参数矩阵 Wvh(0),Wvh(1),...,Wvh(B),使得不同节点的特征映射更加个性化。然而,AGCN 在不同的图窗口之间仍然共享参数矩阵 WvhW_v^hWvh,...
基本原理 这篇文章介绍了一种名为Hybrid Convolutional and Attention Network (HCANet)的模型,用于高光谱图像去噪。该模型结合了卷积神经网络和Transformer的优势,以有效地去除高光谱图像中的噪声。文章提出了注意力机制,用于捕获远程依赖性和邻域光谱相关性,以增强全局和局部特征建模。通过设计卷积和注意力融合模块以及多...
论文题目:Multi-scale sampling attention graph convolutional networks for skeleton-based action recognition 作者&团队:Tian H, Zhang Y, Wu H, et al. 1.山东大学控制科学与工程学院机器人中心 2.加州大学洛杉矶分校电气与计算机工程系 发表期刊/会议:Neurocomputing ...
CA-MCNN is a multi-scale convolutional neural network with the combination of pooling layers, efficient channel attention block and parallel feature fusion mechanism. We use the bearing dataset to find suitable pooling parameters and mini-batch size for the model, and verify the effectiveness of CA...
B. POSITION-WISE ATTENTION BLOCK Previous work [11], [37] have suggested that local feature information captured via using traditional convolutional net-work could lead to misclassification of objects. In orderto capture rich contextual relationships over local feature maps, [26] designed a position...
Locality-Aware Rotated Ship Detection in High-Resolution Remote Sensing Imagery Based on Multi-Scale Convolutional Network Ship detection has been an active and vital topic in the field of remote sensing for a decade, but it is still a challenging problem due to the large scale variations, the...
Graph Convolutional Networks (GCNs) have attracted considerable attention in the realm of human action recognition. However, conventional GCNs-based method... W Qian,Q Huang,C Li,... - International Conference on Pattern Recognition 被引量: 0发表: 2025年 Multi-Modality Adaptive Feature Fusion Grap...
Melanoma segmentation based on a convolutional neural network (CNN) has recently attracted extensive attention. However, the features captured by CNN are always local that result in discontinuous fea...