In this paper, we propose a novel birdsong classification network, MFF-Net(Multi-scale Feature Fusion Network), which enhances classification performance through multi-scale feature fusion. The network is composed of four components. The first one is a multi-scale feature extraction module that ...
aggregated feature maps to the corresponding layers. Finally, the layered features are fused in a top-down fusion method to obtain the second Pred1 of the network. In the training phase, the optimized network parameters are obtained by deep supervision of the model. The process of the MFPF-N...
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...
enhancement. We also propose the local feature fusion module (LFFM), which reconstructs images after fusing multiple features, including brightness enhancement images and source images. Finally, in order to implement the training of the whole network, a set of loss functions is carefully designed i...
Multi-Scale Boosted Dehazing Network with Dense Feature Fusion笔记和代码 本篇论文的主要创新点是SOS增强策略和密集特征融合,创新点均是从其他领域进行挖掘。 摘要 提出了一种基于U-Net结构的具有密集特征融合的多尺度增强去雾网络。 该方法基于增强反馈和误差反馈两种原理进行了设计,并证明了该方法适用于脱雾问题。
To alleviate these problems, we propose a novel encoder–decoder network, Multi-scale Hierarchical Feature Fusion Network (MHF2Net), which utilizes all-scale feature fusion and global high-frequency enhancement strategies. The key functional modules are High-frequency Enhancement Blocks (HEBs) and a ...
Single-image dehazing networkMulti-scale feature fusionEd-local binary patternSOS feature enhancementSE attention mechanismNETWORKSIt is very challenging to ... X Zhang,J Li,Z Hua - 《Signal Processing Image Communication A Publication of the the European Association for Signal Processing》 被引量: ...
文献阅读:Multi-Modal and Cross-Scale Feature Fusion Network for Vehicle Detection with Transformers Brickman 我叫继林2 人赞同了该文章 目录 收起 1.研究目的 2模型分析 跨尺度特征融合 3D特征融合模块 查询初始化(Query Initialization) 预测头(Prediction Heads) 最终输出: 实验结果: 时间: 2023年 期刊名...
In this paper, we propose a three-branch hierarchical multi-scale feature fusion network structure termed as HiFuse, which can fuse multi-scale global and local features without destroying the respective modeling, thus improving the classification accuracy of various medical images. There are two key...
LFFNet: lightweight feature-enhanced fusion network for real-time semantic segmentation of road scenes Article05 March 2024 References Chen, L.C., Papandreou, G., Kokkinos, I., Murphy, K., Yuille, A.L.: DeepLab: semantic image segmentation with deep convolutional nets, atrous convolution, and...