Coordinate Attention 前言 相关代码 验证 对CA性能进行验证 CA_ResNet50 搭建 Cifar10数据准备 ResNet50在Cifar10训练 CA_ResNet50在Cifar10数据集训练 绘制ResNet50 和 CA_ResNet50 训练曲线 总结 新版Notebook- BML CodeLab上线,fork后可修改项目版本进行体验 Coordinate Attention Our coordinate attention can be...
# CA (coordinate attention)importpaddleimportpaddle.nnasnnimportmathimportpaddle.nn.functionalasF# 激活函数用的是nn.Hardswish# 平均池化的API是 nn.AdaptiveAvgPool2D((None, 1))classCA(nn.Layer):def__init__(self,in_channel,reduction=32):super(CA,self).__init__()self.H_avg_pool=nn.Adaptive...
We propose a novel network based on the two modules, termed Multi-scale and Coordinate Attention Residual Network (MSCA-ResNet). Validation experiments are conducted on the public Google speech command dataset v2. The results demonstrate that the proposed MSCA-ResNet significantly improves the ...
The baseline model BC-ResNet is a well-known representative of that but lacks adequate channel and global features of input signals. To this end, two lightweight modules were proposed in this work, referred to as Lightweight Residual Coordinate Attention Module (LRCA) and Lightweight Multi-...
In this study, the Residual Network (ResNet) is integrated with global attention [45], coordinate attention [36], and 3D Global Coordinate Attention (3D GCA). These composite network models are designated as “Res+GAM”, “Res+CA, and “Res+GCA” respectively. Upon conducting a thorough co...
In recent years, the hyperspectral classification algorithm based on deep learning has received widespread attention, but the existing network models have higher model complexity and require more time consumption. In order to further improve the accuracy
Multi-scale andCoordinate Attention Residual Network forEfficient Keyword Spotting Small footprint and low computations are necessary for Keyword Spotting (KWS) models. The baseline model BC-ResNet is a well-known representative of that b... Chen, Siying,Liu, Hongqing,Luo, Zhen,... - Internation...
GC-WIR : 3D global coordinate attention wide inverted ResNet network for pulmonary nodules classification Currently, deep learning methods for the classification of benign and malignant lung nodules encounter challenges encompassing intricate and unstable algor... Wenju Wang,Shuya Yin,Fang Ye,... - BM...
malignant lung nodules encounter challenges encompassing intricate and unstable algorithmic models, limited data adaptability, and an abundance of model parameters.To tackle these concerns, this investigation introduces a novel approach: the 3D Global Coordinated Attention Wide Inverted ResNet Network (GC-...
In this paper, we propose a Spatial-Coordinate Attention (SCA) and Multi-Path Residual Block (MPRB) guided oriented object detection algorithm based on an extended ResNet-18 backbone network. For specially, we first modify the coordinate attention module and spatial attention module through a ...