Specifically, our model mainly consists of two lightweight blocks, a Multi-scale Receptive Field Block (MRB) and a Large Receptive Field Block (LRB), to learn informative multi-scale and long-range spatial context information. The MRB utilizes group depthwise dilation convolutions with varied ...
In the new framework, Inception-V4 are integrated with multi-scale receptive field to extract a multi-scale features to represent the hot rolled steel defects. A group of the AutoEncoders are trained to adaptively reduce the dimension of the multi-scale features to improve generalization ability ...
The literature [45] introduces the ResNet and SENet modules into the U-Net model to enhance the receptive field in the feature extraction stage. Show abstract Learning multi-level structural information for small organ segmentation 2022, Signal Processing Show abstract Semantic segmentation of ...
首先来看看膨胀卷积 dilated convolutions , 图(a):就是一个常规的 3*3 卷积,1-dilated convolution 得到 F1, F1的每个位置的 receptive field 是 3×3 图(b): 在 F1的基础上,进行一个2-dilated convolution,注意它的点乘位置,不是相邻的3*3,得到了 F2, F2的每个位置的 receptive field 是 7×7 图(...
能构建更深的网络,增大“receptive field” 模糊图像和清晰图像在数值上本身就比较相近,因此仅仅让网络学习两者的差异也够了 整体网络结构文中选择了K=3的“multi-scale architecture”,输入、输出的“Gaussian pyramid patches”大小为{256×256,128×128,64×64}。 B_{k},L_{k},S_{k} 分别表示模糊图像、重...
as well as object positional information - making them more conducive for small object detection and localization. In contrast, deeper feature maps, with their reduced resolution, have a larger receptive field and carry richer high-level semantic information, making them more suitable for the detectio...
This method introduces a multi-scale receptive field module to the Resnet101 backbone network, which alleviates the problem of global information loss caused by the deepening of the network layer. Meanwhile, the channel and spatial attention mechanism is introduced into the residual module, the ...
GRFB-UNet: A new multi-scale attention network with group receptive field block for tactile paving segmentation - marenan/GRFB-Unet
Moreover, inspired by the transformer network, we design a novel multi-scale receptive field GAT to extract the local-global adjacent node-features and edges-features. Finally, a graph attention network and a softMax function are utilized for multi-receptive feature fusion and pixel-label ...
In this paper, a robust multimodal medical image fusion network (M4FNet) is proposed based on the multi-scale and multi-receptive-field features. The dual-branch dense hybrid dilated convolution blocks is proposed to mine the correlation of information in multi-receptive-field, which establishes lo...