Furthermore, a multilayer feature fusion block based on the channel–spatial attention algorithm is integrated into the CNN to capture more discriminative features from arbitrary-size images.

Synthetic cannabinoids, a class of new psychoactive substances, have emerged as a significant public health and social ...

The dilated convolution algorithm, which is widely used for image segmentation, is applied in the image classification field in this paper. In many traditional image classification algorithms, ...

Vehicle classification and accident avoidance in hill stations is an important problem that can be solved using computer vision techniques and machine learning algorithms. The proposed system consists ...

Pest Detection and Classification in Peanut Crops Using CNN, MFO, and EViTA Algorithms Abstract: The growth of vision transformer (ViT) methods have been quite enormous since its features provide ...

This study proposes an image-text multimodal classification algorithm based on a combination of convolutional neural networks (CNN) and Transformer, aiming to solve the key problems in feature ...

The classification results of the four algorithms are presented in Figure 6. A confusion matrix approach was adopted to visualize the classification results, where rows represent the actual categories ...

Image classification is widely used in remote sensing detection, medical diagnosis and other fields. By incorporating and improving various deep learning algorithms, research on image classification ...

This difficulty has led to the adoption of deep learning algorithms, which automate feature extraction and provide benefits such as high processing capacity, efficient feature filtering, and improved ...