The multi-scale Pyramid module inside the generator could extract the features containing high-frequency information, and then the high-resolution image with the results of the bicubic interpolations is reconstructed. The discriminator in our model is used to identify the authenticity of the input ...
两种进一步创新的结构:KP-Pyramid 、RandLA-Pyramid 这一个模块就是为了掩饰提出的金字塔结构的encoder-decoder架构是通用的,故将其用在了另外两个网络中,并达到了好的效果。 Conclusion 论文提出了一种三向金字塔架构来处理和融合多尺度信息以进行点云分割。 论文使用了几个简单但有效的组件改进了常用的encoder-decoder...
Efficient Pyramid Multi-Scale Channel Attention Modules: To capture the fine-grained multi-scale local feature and establish the long-term dependencies between channels, an efficient pyramid-type multi-scale channel attention (EPMCA) module is proposed, as shown in Fig. 5. It first extracts the ...
Multi-scale text detectionGrouped pyramid moduleEfficient and effectiveScene text detection has attracted many researches due to its importance to various applications. However, current approaches could not keep a good balance between accuracy and speed, i.e., a high-performance accuracy but with a ...
In order to improve the detection accuracy of the network, it proposes multi-scale feature fusion and attention mechanism net (MFANet) based on deep learning, which integrates pyramid module and channel attention mechanism effectively. Pyramid module is designed for feature fusion in the channel and...
In this paper, we propose a model for UAV detection called DoubleM-Net, which contains multi-scale spatial pyramid pooling-fast (MS-SPPF) and Multi-Path Adaptive Feature Pyramid Network (MPA-FPN). DoubleM-Net utilizes the MS-SPPF module to extract feature maps of multiple receptive field ...
Video super-resolutionMulti-scale convolutional pyramidShallow residual moduleFeature lossExisting lightweight video super-resolution network architectures are often ... X Yang,L Wu,X Wang - 《Journal of Supercomputing》 被引量: 0发表: 2024年 MRI super-resolution using similarity distance and multi-s...
pyramid pooling (ASPP) module into the shallow network of ResNet101, designed to improve the multi-scale feature extraction capability of the model. The ASPP module enhances the robustness of recognition for different dimensional sizes and occluded keypoints using different dilatation rates in the ...
Then, the result is combined with the features of the MS image as the input of the encoder, and these composite features are input to the pyramid attention mechanism module to capture multi-scale corresponding features. Next, the result of the input pyramid branch is input to the feature ...
Specifically, the MSFD module first feeds the feature map outputs from MSFA module to the average pooling layers with pyramid down-sampling rates to convert the aggregated features to different scale spaces. As shown in Fig.1, the down-sampling rates are {8, 4, 2, 1, 1} from top to bo...