Abstract Over the past years, YOLOs have emerged as the predominant paradigm in the field of real-time object detection owing to their effective balance between computational cost and detection ...
Abstract: To mitigate the heavy reliance on semantic information and the unreliability of manual feature extraction in dynamic simultaneous localization and mapping (SLAM) and object tracking systems, ...
Abstract: Few-Shot Object Detection (FSOD) aims to detect the objects of novel classes using only a few manually annotated samples. With the few novel class samples, learning the inter-class ...
This repository contains a Python script for real-time object detection using YOLOv8 with a webcam. The script captures live video from the webcam or Intel RealSense Computer Vision, detects objects ...