To efficiently balance model complexity and performance, we propose a multi-scale attention network (MSAN) by cascading multiple multi-scale attention blocks (MSAB), each of which integrates a multi-scale cross block (MSCB) and a multi-path wide-activated attention block (MWAB). Specifically, ...
核心模块为MAB,是一个 Transformer block,由 attention 和 FFN 组成。其中,attention 为 MLKA,FFN 为 GSAU。需要注意的是,最后还使用了一个LKAT,下面分别进行详细介绍。 1、Multi-scale Large Kernel Attention (MLKA) MLKA首先使用 Point-wise conv 改变通道数,然后将特征 split 成三组,每个组都使用 VAN 里...
位于第5层至第13层和第16层的self-attention blocks Figure 2 3.2.1 (1) Self-attention Block 本文的self-attention其实用的就是MViT中的pooling attention。 每一个block都对应于一个特定的视图,如Fig 2. (b)所示,左右两个self-attention block,分别用于处理view 1和view 2。并且每个视图都使用多头 Poolin...
核心模块为MAB,是一个 Transformer block,由 attention 和 FFN 组成。其中,attention 为 MLKA,FFN 为 GSAU。需要注意的是,最后还使用了一个LKAT,下面分别进行详细介绍。 1、Multi-scale Large Kernel Attention (MLKA) MLKA首先使用 Point-wise conv 改变通道数,然后将特征 split 成三组,每个组都使用 VAN 里...
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...
Specifically, with Res2Net structure, using pre-activation operation and convolutional quadruplet attention module, the 3D multi-scale attention block is designed. It makes full use of multi-scale information of pulmonary nodules by extracting multi-scale features at a granular level and alleviates ...
Multi-scale non-local attention network for image super-resolution Multi-scale non-local attention module exploring multi-scale long-range dependencies.Residual multi-scale attention block (RMAB) for complementary feature ... X Wu,K Zhang,Y Hu,... - 《Signal Processing》 被引量: 0发表: 2024...
A multi-scale convolutional attention neural network based on residual block downsampling for infant cry classification and detection 来自 IEEEXplore 喜欢 0 阅读量: 1 作者:Junjie Yang,ZhenYu Zhang,Jin Li,Chen Lin 摘要: The cries of infants contain rich information, indicating hunger, tiredness, ...
PROTACs represent a promising modality that has gained significant attention for the treatment of cancer, Alzheimer's disease, and so forth. Due to limited... W Yan,BS Pan,HY Shao - 《Acs Omega》 被引量: 0发表: 2022年 Second-degree branch structure blockchain expansion model: The blockchai...
我找到了!!他在最初提到每个 Transformer block 先由上上图的多分辨率融合操作开始,接着是 Patch Embedding,然后是 Attention,最后就是 MixCFN～ 最后不同 HRViT 具体参数如下: 实验结果 在ImageNet-1K 数据集上预训练的结果 在ADE20K 数据集上的实验结果和参数比较 ...