A research team now proposes a novel Multi-Granularity Alignment (MGA) domain adaptation framework that dramatically improves cross-domain detection accuracy, enabling deep learning models to maintain ...

This project implements real-time object detection using OpenCV and a pre-trained SSD MobileNet V3 model. The application can identify and label various objects from a webcam feed or uploaded images ...

This exceptional sensitivity arises from the device’s enhanced transconductance and ability to sense through the gate and channel interfaces simultaneously. Furthermore, the zwitterionic OECT sensor ...

Overview This project demonstrates real-time object detection using OpenCV, a pre-trained deep learning model, and a simple graphical user interface (GUI) built with Tkinter. The system captures video ...

2 Indian Institute of Technology Kharagpur, Kharagpur, West Bengal, India This survey reviews advances in 3D object detection approaches for autonomous driving. A brief introduction to 2D object ...

Discover the transformative advancements of YOLOv9, the latest iteration of the pioneering YOLO series, enhancing efficiency and accuracy in real-time object detection through groundbreaking ...