In this post, we’ll dive into the innovations that make YOLOv9 a new state-of-the-art for real-time object detection. A Quick Primer on Object Detection. Before getting into what's new with YOLOv9, ...

Aiming at the problem of low accuracy of traditional target detection methods for target detection in endoscopes in substation environments, a CNN-based real-time detection method for masked targets ...

Compared with the two-stage object detection model, the one-stage object detection model reduces the proposal region detection module, the model structure is simplified, and the detection is more ...

Real-time accurate detection of three-dimensional (3D) objects is a fundamental necessity for self-driving vehicles. Most existing computer vision approaches are based on convolutional neural networks ...

In this paper, we present a real-time object detection system for 360-degree panoramic images using convolutional neural network (CNN). We adopt a CNN-based detection framework for object detection ...