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 ...

The brightest fast radio burst ever detected could help reveal what celestial source causes the mysterious signals and if ...

Abstract: More and more complex and numerous are the forensic findings required while investigating the crime scene, it is important to address the need for technological enhancements for the crime ...

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 ...