Multi-scale feature fusionEd-local binary patternSOS feature enhancementSE attention mechanismNETWORKSIt is very challenging to perform dehazing operations on single haze images taken due to information degradation, for which we propose a novel single-image dehazing network based on U-Net. Most ...
以下是multi-scale feature fusion的计算公式: F =Σ(Wi * Gi) 其中,F表示融合后的特征向量,Wi表示第i个尺度上特征向量的权重系数,Gi表示第i个尺度上提取的特征向量。权重系数可以根据具体情况进行调整,通常采用softmax函数进行归一化处理,以保证各尺度特征向量的权重之和为1。 在计算过程中,首先从不同尺度的...
Enhancing Medical Image Segmentation with TransCeption: A Multi-Scale Feature Fusion Approach 阿梁 3 人赞同了该文章 论文动机 (1)尽管hierarchical encoder中的transformer块在不同的阶段捕捉全局信息,但transformer块只处理patch merging后的特征层,该特征层使用单一的感受野的大小。因此,在每个阶段中没有适当地利...
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。
The rest of this paper is divided into the following sections. The “Related work” section introduces related research on attention-based residual blocks, multi-scale feature fusion, and deep learning applied to strip defect detection. The proposed fusion approach and residual blocks are described ...
The scene classification method of remote sensing images proposed in this paper, which is based on deep networks and multi-scale feature fusion, not only can input rich remote sensing images for the deep networks and increase the number of labeled samples, but also can reduce information loss br...
In the deep layer of the network, the feature information of different scales is fused, and the information of different scales of the image is more refined. And different from ASPP and other related fusion modules, the wavelet transform fusion module does not add additional calculation, which ...
Ai and Y. Wang, "Fast multi-scale feature fusion for ECG heartbeat classification," EURASIP Journal on Advances in Signal Processing, vol. 2015, no. 46, December 2015.D. Ai, J. Yang, Z. Wang, J. Fan, C. Ai, and Y. Wang, "Fast multi-scale feature fusion for ECG heartbeat ...
Dense Feature Fusion Module(DFF) 超分辨率中的反投影技术是一种通过最小化估计的高分辨率结果和多个观测的低分辨率输入之间的重建误差来生成高分辨率内容的有效方法。 为了增强非相邻层级特征之间的连接,本文提出了DFF模块。DFF模块在解码器第n级的网络架构如图。解码器模块中的密集特征融合使用反投影技术来利用来自前面...
Intra-stage Feature Fusion (IFF)和轴注意力比较像,沿着H轴和W轴做了pooling Dual Transformer Bridge 就是把四个不同维度的特征拉直concat,然后做完attention后再分开,以此做到跨stage的attention 其中channel aware和token aware如下 实验 ablation study