In this paper, we propose a network model for pathology image segmentation based on a multi-scale Transformer multi-attention mechanism. To solve the problem that the high density of cell nuclei and the complexity of the background make it difficult to extract features, a dense attention module...
Melanoma segmentation based on a convolutional neural network (CNN) has recently attracted extensive attention. However, the features captured by CNN are always local that result in discontinuous fea...
In addition, the input feature map elements are enhanced or suppressed by the attention module in order to extract salient features more accurately. The proposed method was validated on two commonly used expression data sets CK+ and RAF-DB, and the recognition rates were 98.77 and 82.83%, ...
The MSDCAN denoising model consists of an encoder, an improved attention mechanism, and a decoder. To effectively capture the neighborhood features and multiscale features of the micro-seismic signal, we construct an initial dilated convolution block and a multiscale dilated convolution block in the...
2.2. Attention Learning and CBAM The attention learning is first inspired by the cognitive neuroscience. When dealing with a certain task, people will pay more attention to the important issue while paying less attention to the unimportant ones. Based on this notion, the attention mechanism is fir...
In addition, an efficient pyramidal multi-scale channel attention mechanism is designed to highlight the multi-scale spatial information and the boundary features. Finally, a residual structure is integrated to sum the elements from the input feature map to alleviate degradation during training. Sign ...
Attention Mechanism 3.2.1 (2) Scaled Self-attention Block 在每个scale阶段的最后一个block(除最后一个阶段),scaled self-attention block使用\mathcal P = (Q_i; θ_{Q_i}),采用[2, 2]的stride对特征X_i的时空维度进行下采样,降低其尺寸到原来的四分之一。此外,在scaled self-attention block的末尾,...
Code Issues Pull requests Multigrid Neural Architecture deep-neural-networks computer-vision multiscale attention-mechanism Updated Aug 18, 2017 Lua vineeths96 / Video-Interpolation-using-Optical-Flow Star 27 Code Issues Pull requests In this repository, we deal with the task of video frame ...
Cai, Y., Wang, Y.: MA-Unet: An improved version of Unet based on multi-scale and attention mechanism for medical image segmentation (2020). arXiv preprint arXiv:2012.10952 IXI dataset. https://brain-development.org/ixi-dataset/ Souza, R., Lucena, O., Garrafa, J., Gobbi, D., Saluz...
Based on deep learning theory, this paper proposes a foreground detection method based on the multiscale U-Net architecture with a fusion attention mechanism. The attention mechanism is introduced into the U-Net multiscale architecture through skip connections, causing the network model to pay more ...