MSFF-Net: Multi-scale feature fusing networks with dilated mixed . . . Our earlier study [12] focused on solving these issues, in which the Single-Scale Fully Convolutional Networks (SS-FCN) and the Multi-Scale Fully Convolutional Networks (MS-FCN) were proposed In both networks, dilated convolution was selected to model temporal dependencies instead of RNN (LSTM or GRU), as dilated convolution has the abilities of capturing longer temporal dependencies
MSFF: A Multi-Scale Feature Fusion Convolutional Neural Network for . . . In contrast to conventional remote sensing images, hyperspectral remote sensing images are characterized by a greater number of spectral bands and exceptionally high resolution The richness of both spectral and spatial information facilitates the precise classification of various objects within the images, establishing hyperspectral imaging as indispensable for remote sensing applications
论文翻译:《6mAPred-MSFF:基于多尺度特征融合机制预测跨物种DNA N6-甲基腺嘌呤位点的深度学习模型》 文章浏览阅读728次。Title:6mAPred-MSFF: A Deep Learning Model for Predicting DNA N6-Methyladenine Sites across Species Based on a Multi-Scale Feature Fusion Mechanism期刊：applied sciences代码与数据集：一、摘要 开发了一种新的计算预测器，即6mAPred-MSFF，这是一种基于多尺度特征融合机制的深度学习框架，用于识别不同物种的6mA位
Multi-Scale Spatiotemporal Feature Fusion Network for Video Saliency . . . Recently, video saliency prediction has attracted increasing attention, yet the improvement of its accuracy is still subject to the insufficient use of multi-scale spatiotemporal features To address this issue, we propose a 3D convolutional Multi-scale Spatiotemporal Feature Fusion Network (MSFF-Net) to achieve the full utilization of spatiotemporal features Specifically, we propose a Bi
MSFF-Net: Multi-Stream Feature Fusion Network for surface . . . 2 1 The overall framework The overall frame diagram shows the complete flow of our proposed multi-stream feature fusion network-based sEMG signal gesture classification The data used in this article come from Ninapro DB2 and DB4 databases More than half an hour of raw data per subject in the database needs to be preprocessed to fit the network input, including denoising, action segmentation
MSFF-Net: Multi-scale feature fusing networks with dilated mixed . . . Sound Event Detection (SED) needs to identify the sound events in a recording and detect the onset and offset times of them The former desires features with long short-term dependencies to detect sound events with different durations and the latter needs fine-grained dependency
MSFF-Net: A Multi-Scale Feature Fusion Network for Hippocampus . . . The hippocampus plays an important role in many brain disorders, such as Alzheimer's disease Accurate measurement of the hippocampus helps clinical doctors detect lesions and diagnose and treat related brain disorders Therefore, accurate segmentation of the hippocampus is of great significance for in-depth study of many brain disorders However, segmentation has been a challenging problem