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 ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results