Abstract: Visual Convolutional Multi-head Attention (VCMA), a groundbreaking architecture within the realm of deep learning, ingeniously fuses the strengths of Convolutional Neural Networks (CNN) and ...
Abstract: Effective and real-time facial expression detection is becoming increasingly crucial in affective computing, intelligent user interfaces, and mental health screening to comprehend human ...
Abstract: The integration of new changes in land surveying and detection methodologies has been provided in Unmanned aerial vehicles (UAV) and deep learning algorithms to acquire data more precisely ...
Abstract: In recent years, Convolutional Neural Networks (CNNs) have emerged as powerful tools for solving complex real-world problems, particularly in the domain of image processing. The success of ...
Abstract: Image steganography conceals secret data within a cover image to generate a new image (stego image) in a manner that makes the secret data undetectable. The main problem in image ...
Abstract: Automatic target detection is important for real time navigation applications of 3D forward looking sonar (3D-FLS) systems. A 3D-FLS sensor generates a large volumetric point cloud of data ...
Abstract: This paper centers on the research of the artwork recognition and classification algorithm based on computer vision. During the research process, first, a vast image dataset of artworks ...
Abstract: With the increasing demand for accurate classification of music content, the automatic classification technology of music style is particularly important in the fields of personalized music ...
CNN in deep learning is a special type of neural network that can understand images and visual information. It works just like human vision: first it detects edges, lines and then recognizes faces and ...
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