Object classification is a crucial yet challenging vision ability to perfect The fundamental
objective is to educate computers to understand visuals the same way humans do. Due to …

Automatic vision-based inspection systems have played a key role in product quality
assessment for decades through the segmentation, detection, and classification of defects …

The advent of high-tech journaling tools facilitates an image to be manipulated in a way that
can easily evade state-of-the-art image tampering detection approaches. The recent …

Visual tracking addresses the problem of identifying and localizing an unknown target in a
video given the target specified by a bounding box in the first frame. In this paper, we …

With the technological advancements of the modern era, the easy availability of image
editing tools has dramatically minimized the costs, expense, and expertise needed to exploit …

Accurate segmentation and detection of all mixed and occluded objects in the complex
indoor/outdoor scenes become a vital topic of computer vision. These above-mentioned …

Object detection and recognition is an effective and fundamental technique used to track the
objects accurately in complex scenes. Over the last decade, object analysis has caught the …

The research on forgery detection and localization is significant in digital forensics and has
attracted increasing attention recently. Traditional methods mostly use handcrafted or …

In this paper, an improved algorithm based on Yolo V3 is proposed, which can effectively
improve the accuracy of small target detection. First of all, the feature map acquisition …

Advances in machine vision systems have revolutionized applications such as autonomous
driving, robotic navigation, and augmented reality. Despite substantial progress, challenges …