The feature pyramid is a classic approach in object detection, and it can exploit multiscale feature information. In previous research, many object detection models that directly use image features extracted by the backbone network were proposed. However, to enable the complementary and fusion of fea...
Based on the residual learning, we propose a multi-scale feature fusion residual block (MSFFRB) with multiple intertwined paths to adaptively detect and fuse image features at different scales. Furthermore, the outputs of each MSFFRB and the shallow features are used as the hierarchical features ...
为了解决上述问题,我们设计了一种多尺度扩张残差块(MDRB)fMDRB multi-scale dilated residual block (MDRB),它不仅可以有效地扩大感受野 receptive field 以感知帧之间的大像素运动, 还可以 在扩张卷积的帮助下可以很好地保留对象边界细节 捕获多尺度上下文信息。 具体的是: 首先堆叠两个 3 × 3 和 5 × 5 卷...
Residual learningMulti-scale feature fusionFractal networkRecent studies have shown that the use of deep convolutional neural networks (CNNs) can improve the performance of single image super-resolution reconstruction (SISR) methods. However, the existing CNN-based SISR model ignores the multi-scale ...
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…
The image feature extraction module takes the residual network Resnet10133 as the backbone network for network feature extraction, which mainly consists of four residual network layers (stage1, stage2, stage3, and stage4). Meanwhile, an attention mechanism and a multi-scale feature fusion method...
Gao et al. improved U-Net by employing an additive channel–spatial attention (ACSA) module in skip connection and applying multi-scale deep supervision to different layers of the decoding module, which made good progress in model performance [7]. Reza and Azad et al. respectively built the ...
Facial expression recognition based on multi-scale feature fusion and attention mechanism[J]. Microelectronics & Computer, 2022, 39(3): 34-40. DOI: 10.19304/J.ISSN1000-7180.2021.0799 Citation: SHI Hao, XING Yuhang, CHEN Lian. Facial expression recognition based on multi-scale feature fusion ...
Attention Multi-scale Residual block 1. Introduction The representation of image features from the initial pixel representation to the later feature descriptors (scale invariant feature transform (SIFT) (Lowe, 2004), speeded-up robust features (SURF) (Bay et al., 2008), etc.) is to explore the...
Firstly, the fusion of global and local features is adopted to obtain more information of the vehicle and enhance the learning ability of the model; Secondly, the channel attention module in the feature extraction branch is embedded to extract the personalized features of the targeting vehicle; ...