Object detection in computer vision encompasses the automatic identification and localisation of objects within images or video streams. Early approaches relied on handcrafted features and shallow ...

Few-shot object detection addresses the challenge of recognising and localising novel object categories from only a handful of annotated examples. Traditional deep-learning detectors demand extensive ...

The object detection required for machine vision applications such as autonomous driving, smart manufacturing, and surveillance applications depends on AI modeling. The goal now is to improve the ...