Visual Attention Networks (VANs) leveraging Large Kernel Attention (LKA) have demonstrated remarkable performance in diverse computer vision tasks, often outperforming Vision Transformers (ViTs) in ...

Abstract: Data gaps appear in images of the Martian surface taken by the HiRISE camera on Mars orbiter reconnaissance, affecting downstream missions, e.g., terrain analysis. Recently, many restoration ...

To clarify, we must establish the fact that images are stored as matrices of pixel values in our computer. Greyscale images are simple 2D matrices while colored images are a collection of 3 such 2D ...

Facial beauty prediction (FBP) is a leading area of research in artificial intelligence. Currently, there is a small amount of labeled data and a large amount of unlabeled data in the FBP database.

Background and Objective: Bone age detection plays an important role in medical care, sports, judicial expertise and other fields. Traditional bone age identification and detection is according to ...

Convolution filters are a fundamental building block in image processing and computer vision. They are used to extract specific features from an image by applying a small matrix of numbers, called the ...

Machine vision faces bottlenecks in computing power consumption and large amounts of data. Although opto-electronic hybrid neural networks can provide assistance, they usually have complex structures ...

Given an image and region of interest (ROI) mask as input, the net classifies the region of the image marked in the mask. Figure 1. Segment-specific Classification using CNN For example, in Figure 1 ...

Three-dimensional (3D) liver tumor segmentation from Computed Tomography (CT) images is a prerequisite for computer-aided diagnosis, treatment planning, and monitoring of liver cancer. Despite many ...

Abstract: Pedestrian detection relying on deep convolution neural networks has made significant progress. Though promising results have been achieved on standard pedestrians, the performance on ...