CenterPoint Estimation with Anchor Boxes in Object Detection
Demystifying Anchor Boxes: The Secret Sauce of CenterPoint Object Detection Object detection, the cornerstone of computer vision, involves identifying and localizing objects within an image. While deep learning has revolutionized this field, one crucial element often remains shrouded in mystery: anchor boxes. This blog post aims to shed light on these fundamental components, exploring their role in CenterPoint object detection and how they contribute to accurate and efficient object recognition. What are Anchor Boxes? Imagine a set of pre-defined boxes with various sizes and aspect ratios, scattered across the image canvas. These "anchor boxes" serve as initial guesses for the location and scale of potential objects. Think of them as templates or reference points that guide the detection process. Instead...