这样的信息流向目的是为低分辨率的特征提供更高语义级别的信息。 (3)Multi-Scale Feature Fusion Strategy(多尺度融合策略) 三向信息流的结构为网络提供了大量的特征信息。但随之而来的问题便是:如何融合这些特征呢? 在图像分割领域,经常使用逐元素加法、逐元素乘法或拼接,以及 conv1x1 和 conv3x3 卷积操作来融合特征。
In this paper, a multi-scale feature fusion module is introduced into the graph convolutional network model, and the high-resolution low-level feature information in the feature map is fused with the semantic information of the high-level feature, which greatly improves the model's recognition ...
SOS boosted模块 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...
a novel layer feature fusion module (LFFM) is proposed, which consists of two consecutive residual blocks. the LFFM concatenates the layer bi-temporal feature pairs output by the feature extraction network with their difference maps so that the semantic information...
features at different layers of the image are extracted using an adaptively modified deep network. A multi-scale adaptive feature fusion module (MAFFM) is designed to preserve and fuse multi-scale information from different convolutional layer features. The fusion features are passed to the iterative...
(DenseNet) with SSD framework. Firstly, we add additional convolutional layers after backbone network to realize multi-scale feature detection. In addition, the feature fusion module is designed to fuse the multi-scale features from different layers, introducing the contextual information in object ...
multiscale feature fusion module (MSFFM), an efficient adaptive spectral-spatial feature extraction module (EASSFEM), and a context-aware fusion network (... X Wan,F Chen,W Gao,... - 《IEEE Journal of Selected Topics in Applied Earth Observations & Remote Sensing》 被引量: 0发表: 0年 ...
摘要: BEG-YOLO's CSP-GFPN and BEA enhance small defect detection.CSP-GFPN in BEG-YOLO boosts feature fusion for defect detection.BEA in BEG-YOLO filters features, focusing on key regions.BEG-YOLO surpasses other YOLO models in detection metrics.关键词:...
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
Multiscale feature fusion (MSFF) module Compared with the existing methods, we add a MSFF module to fuse the output of all the layers in the block after the last layer. Let xl be the output of the last layer in the block: $$x_{l} = H(x_{l - 1} ) \otimes H(x_{l - 2...