论文《EfficientViT: Multi-Scale Linear Attention for High-Resolution Dense Prediction》来自ICCV2023。 动机:高分辨率密集预测模型需要的计算成本高,因此提出多尺度线性注意模块,使用RELU相信注意力替换softmax注意力降低计算复杂度,并通过卷积增强RELU注意力的局部信息提取能力,通过多尺度token提高多尺度学习能力。 二....
Multi-scale Residual Block (MSRB) was designed. MSRB combined a multi-scale convolution module and residual connection to improve the feature extraction capability of the network. Multi-scale Attention Module (MSAM) was proposed, which could effectively strengthen useful features and suppress useless fe...
To improve classification accuracy while conserving computational resources, this study proposes a classification method based on a multi-scale convolutional attention neural network with residual downsampling. The proposed model consists of four parts: a feature extraction module, SE attention module, ...
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...
the multi-scale feature fusion (MSF) strategy is utilized to fuse shallow and deep features effectively and enrich detailed information relevant to target defects. Secondly, the CSPLayer Res2Attention block (CRA block) residual module is introduced to reduce the loss of defect information during hie...
接收所有输出sitch and reshape 原本的resolution,不同的头拼接通过residual block得到输出 Cross Modality Fusion 离散余弦变换变换到频域得到dct特征,借鉴(thinking in frequency)方式,手工的低中高filter得到分解的频率分量 之后反变换为rgb域,最后拼接通道得到频域空间图B (H,W,3)(这里感觉是变为灰度图,灰度图做分...
Pulmonary nodules are the main manifestation of early lung cancer. Therefore, accurate detection of nodules in CT images is vital for lung cancer diagnosis. A 3D automatic detection system of pulmonary nodules based on multi-scale attention networks is p
First, shallow features are extracted using convolution and channel attention. In the recursive residual unit, a parallel multi-scale residual block is constructed, and the image features are extracted from the three scales: original image resolution, 1/2 resolution, and 1/4 resolution. Then, the...
在本节中,我们详细描述了所提出的方法,包括 Res-block、Position-wise Attention Block 和 Multi-scale Fusion Attention Block。我们在论文中采用改进的 U-Net 编码器-解码器架构进行肝脏和肿瘤分割。 Res-block 由三个 3×3 卷积块和残差连接组成,用于提取高维特征信息。 Position-wise Attention Block 用于捕捉特...
Single Image Super-resolution via Multi-scale Residual Channel Attention Network Specifically, a multi-scale residual channel attention block (MSRCAB) is designed to plenarily exploit the image features with convolutional kernels of ... F Cao,H Liu - 《Neurocomputing》 被引量: 0发表: 2019年 Gra...