To address these challenges, this study proposes a dual-branch fusion network with multiscale atrous pyramid pooling aggregate contextual features for real-time semantic segmentation (MAFNet). The first key component, the semantics guide spatial-details module (SGSDM) not only facilitates precise ...
为了解决这个问题,提出了一种用于三维目标检测的多分支深度融合网络(Multi-Branch Deep Fusion Network, MBDF-Net)。与以往基于双分支的方法不同,该模型由三个分支组成,分别为图像分支、激光雷达分支和融合分支。图像分支和激光雷达分支用于提取相应数据形态的语义信息。利用几个自适应注意力融合(AAF)模块为融合分支生成...
Firstly, the fusion of global and local features is adopted to obtain more information of the vehicle and enhance the learning ability of the model; Secondly, the channel attention module in the feature extraction branch is embedded to extract the personalized features of the targeting vehicle; ...
These phenomena show that the parallel fusion structure of CNN and Transformer is indeed an efficient way to further achieve lightweight while ensuring high reconstruction performance. Moreover, with the Conclusion To facilitate the application of efficient image processing methods in the industry, we ...
The experiments show that the proposed multi-branch architecture, called CMFNet, has competitive performance results on four datasets, including image deblurring, dehazing and deraindrop which are very common applications for autonomous cars.Network Architecture...
FF-Net: Feature-Fusion-Based Network for Semantic Segmentation of 3D Plant Point Cloud Finally, an attention-based module was designed to fuse the two branch features to produce the final segmentation. We conducted extensive experiments on two... X Guo,Y Sun,H Yang - Plants (2223-7747) 被...
To address this issue, we propose a dual-branch feature decomposition fusion network (DAF-Net) with domain adaptive, which introduces Multi-Kernel Maximum Mean Discrepancy (MK-MMD) into the base encoder and designs a hybrid kernel function suitable for infrared and visible image fusion. The base...
Detection and severity classification of COVID-19 in CT images using deep learning 2021, Diagnostics Covid-19 case recognition from chest ct images by deep learning, entropy-controlled firefly optimization, and parallel feature fusion 2021, Sensors View all citing articles on Scopus ...
针对你的问题“compound multi-branch feature fusion for real image restoration”,以下是从概念理解、算法设计、实现应用及效果评估四个方面的详细解答: 1. 研究和理解复合多分支特征融合的基本概念 复合多分支特征融合(Compound Multi-branch Feature Fusion)是一种图像处理技术,旨在通过多个分支网络分别提取图像的不同...
Feature fusionMulti-level factorized attentionDynamic loss mechanismIn recent years, two-branch networks combining CNNs and transformers have advanced medical image segmentation by leveraging CNNs for local feature extraction and transformers for global context modeling. However, challenges remain in feature...