Off-duty detection technology is gradually becoming an important tool for modern enterprises in fine management and safety ...

A group of aid boats carrying hundreds of activists including Greta Thunberg released footage showing what it says was a ...

Monocular 3D object detection is an essential task in computer vision, and it has several applications in robotics and virtual reality. However, 3D object detectors are typically trained in a fully ...

Aim: This study aims to develop a robust and lightweight deep learning model for early brain tumor detection using magnetic resonance imaging (MRI), particularly under constraints of limited data ...

Abstract: A Convolutional Neural Network (CNN) are a class of artificial neural networks specifically designed to process data with a grid-like topology, such as images, making them well-suited for ...

I tried using DINOv3 as the pre-trained model for the detector and encountered an issue. When defining the Transformer, self.reference_points（not two-stage） is initialized as follows: if two_stage: ...

Abstract: The computer vision concept that involves the detection and characterization of objects in images is known as object detection. This research mainly performs this function using four popular ...