11.CBAM: Convolutional Block Attention Module Convolutional Block Attention Module (CBAM) 表示卷积模块的注意力机制模块。是一种结合了空间(spatial)和通道(channel)的注意力机制模块。相比于senet只关注通道(channel)的注意力机制可以取得更好的效果。 它依然采用了block的形式,但是在每一个block上进行更加细致的设...
The CBAM VGG16 architecture also compared the driver distraction classification performance with DenseNet121, Xception, MoblieNetV2, InceptionV3, and VGG16 architectures based on the proposed model's accuracy, loss, precision, F1 score, recall, and confusion matrix. The drivers' distraction ...
Fine-grained image classification on bats using VGG16-CBAM: a practical example with 7 horseshoe bats taxa (CHIROPTERA: Rhinolophidae: Rhinolophus) from Southern Chinadoi:10.1186/s12983-024-00531-5CHINAHORSESHOE batsBATSIMAGE recognition (Computer vision)...
步骤四二、构建通道注意力机制和空间注意力机制作为CBAM模块; 步骤四三、构建跳跃连接作为残差模块; 步骤五、特征提取网络的构建: 步骤五一、将原始VGG16中的卷积替换成深度可分离卷积; 步骤五二、将CBAM模块放在VGG16的特征提取部分中的第2、3、4、5个最大池化层之后, ...
[28] realized accurate weld defect detection in x-ray images of steel pipeline girth weld by an improved Faster R-CNN (Region-based Convolutional Neural Network) model including FPN (Feature Pyramid Networks), CBAM (convolutional attention mechanism module) and K-means anchor after determining the...
针对工业生产中金属表面缺陷识别存在人力消耗大,效率不高等问题,提出改进的VGG16网络金属表面缺陷图像分类方法.以VGG16网络为基础,引入注意力机制CBAM增强特征学习能... 胡坤,吴国庆,胡祖辉,... - 《计算机应用与软件》 被引量: 0发表: 2024年 基于VGG16的急性淋巴细胞白血病血液细胞显...
Kweon, CBAM: Convolutional block attention module, in: Lect. Notes Comput. Sci. (Including Subser. Lect. Notes Artif. Intell. Lect. Notes Bioinformatics), 2018. https://doi.org/10.1007/978-3-030-01234-2_1. Google Scholar [35] A. He, T. Li, N. Li, K. Wang, H. Fu CABNet: ...