Thus, the choice of architecture should be based on the tradeoff between performance and computational resources. Based on the conducted experiment, the final object detection results are presented in ...

With recent advancements in the industry of artificial intelligence, computer vision ... in people/object tracking applications, video surveillance cameras which I will elaborate further. Now that we ...

Computer vision is a crucial component of many modern businesses, including automobiles, robotics, and manufacturing, and its market is growing rapidly. This book helps you explore Detectron2, ...

Object detection represents a fundamental and intricate task in computer vision. It centers on precisely pinpointing ... speed using a more powerful deep convolutional backbone architecture. YOLOv3 ...

Abstract: We propose a comprehensive computer vision framework that integrates multi-scale signal processing with an enhanced ConvNeXt-YOLO architecture for robust object detection. Our framework ...

One of the most useful, albeit substantially more difficult, applications of machine vision is, therefore, object detection. These terms, although used indiscriminately in the context of computer ...

Vision Explanation Methods is an open-source package that implements D-RISE (Detector Randomized Input Sampling for Explanation) towards visual interpretations of object detection models. D-RISE is a ...

Object detection ... s most recent vision and imaging platform- builds on the combination of vision algorithm expertise and core architecture know-how and provides a well-tuned vision processor to ...