Tag Computer Vision and Pattern Recognition
Object detection, a crucial computer vision problem, involves locating and classifying objects within an image or video. Over the years, researchers have developed various methods to tackle this challenge. One ground-breaking approach is the Single Shot MultiBox Detector (SSD), an… Continue Reading →
Deep learning has become an integral part of state-of-the-art computer vision systems, allowing machines to understand and interpret visual information. Convolutional neural networks (CNNs) with alternating layers of convolution, max-pooling, and decimation have been widely adopted in computer vision architectures…. Continue Reading →
In the age of advanced technology and increasing reliance on surveillance systems, the ability to accurately track multiple individuals in complex scenes is of utmost importance. With the rise of online detection technologies, the challenge lies in associating these detections… Continue Reading →
Understanding and accurately perceiving the size and depth of objects in a scene is a fundamental aspect of visual perception. While humans possess an innate ability to make sense of our visual environment, teaching machines to do the same has… Continue Reading →
Social media platforms like Facebook have revolutionized how we share our lives with others, including uploading and sharing photos. With billions of photos being uploaded daily, finding specific individuals in this vast ocean of images has become a massive challenge… Continue Reading →
Color constancy is a complex problem that has puzzled researchers for years. It refers to the ability to infer the color of the light that illuminated a scene, even when the conditions or lighting sources change. The ultimate goal of… Continue Reading →
Explaining complex concepts in a simple and easy-to-understand manner can be a daunting task, but fear not! In this article, we will dive into the fascinating research article titled “Aligning Books and Movies: Towards Story-like Visual Explanations by Watching Movies… Continue Reading →
Semantic image segmentation, a critical task in computer vision, involves the classification of every pixel in an image into different semantic categories. While accurate models can be trained with detailed per-pixel annotations, acquiring such annotations is a time-consuming task. On… Continue Reading →
Discovering moving objects in videos and accurately estimating the background of each frame has numerous practical applications, including visual surveillance, intelligent vehicle navigation, and traffic monitoring. A recent research article titled “COROLA: A Sequential Solution to Moving Object Detection Using… Continue Reading →
As technology continues to advance, researchers are constantly pushing the boundaries of what machines are capable of. In a recent research article titled “Ask Your Neurons: A Neural-based Approach to Answering Questions about Images,” Mateusz Malinowski, Marcus Rohrbach, and Mario… Continue Reading →