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- 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
- 即插即用！MSFM：用于目标检测的多尺度融合模块 - 知乎
多尺度融合模块（MSFM），其从单个输入中提取细节信息和语义信息，但是在同一层中的尺度不同，即插即用！如应用于Faster R-CNN中，直接涨点+2 5 % mAP！代码即将开源！ MSFM: Multi-Scale Fusion Module for Objec…
- 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
- 张小乾最新论文：DS-MSFF-Net：用于CT图像分割的双路径自注意力多尺度特征融合网络
为此，研究人员提出了一种名为ds-msff-net的新型网络，该网络融合了自注意机制和膨胀卷积。该网络包括两个平行分支路径，可以同时有效地提取长距离语义特征信息和ct图像的详细特征信息。
- 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
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