Abstract: Object detection is a critical task in computer vision, with applications ranging from autonomous driving to medical imaging. Traditional object detection models, such as Fast R-CNN, have ...

New benchmark shows top LLMs achieve only 29% pass rate on OpenTelemetry instrumentation, exposing the gap between ...

In 1930, a young physicist named Carl D. Anderson was tasked by his mentor with measuring the energies of cosmic ...

Focus on One Area: Robotics is broad. You could focus on programming first, then move to electronics, or vice versa. Trying ...

Introduction: Esophageal squamous cell carcinoma (ESCC) is difficult to detect early on white-light endoscopy (WLI) because lesions are subtle and artifacts (such as glare, bubbles, text, tools) mimic ...

College of Electronic Engineering (College of Artificial Intelligence), South China Agricultural University, Guangzhou, China Accurate and efficient detection of citrus leaf diseases is crucial for ...

Division of Chronic Disease Research Across the Lifecourse (CoRAL), Department of Population Medicine, Harvard Medical School and Harvard Pilgrim Health Care Institute, Boston, Massachusetts 02215, ...

Abstract: Underwater object detection using SONAR images is critical for marine conservation, environmental monitoring, waste management, and rescue operations. In this study, the authors apply ...

is there a reason or any other thread where 3D models like those at mmdet3d are discussed to be implemented. I have not found any discussion.