CenterNet: Object Detection Reimagined
Forget Anchors! Object Detection with CenterNet: A Deep Dive into Keypoint Regression Object detection is a cornerstone of computer vision, allowing machines to identify and locate objects within images. Traditional methods often rely on "anchor boxes," pre-defined bounding box templates that are adjusted based on features extracted from the image. While effective, this approach can be computationally expensive and struggles with object sizes and shapes that deviate significantly from the predefined anchors. Enter CenterNet, a revolutionary object detection algorithm that throws anchor boxes out the window! CenterNet: The Power of Keypoint Regression At its core, CenterNet utilizes keypoint regression to pinpoint the center points of objects within an image. Imagine each object as having a central "hotspot" – that's what...