Anchor Box Showdown: Predefined vs. Learned in Object Detection
Anchors Away: A Deep Dive into Predefined vs. Learned Anchor Boxes in Object Detection Object detection, the ability of a computer to identify and locate objects within an image or video, is a cornerstone of many modern AI applications. From self-driving cars to medical imaging analysis, its impact is undeniable. One crucial component of this process is anchor boxes, which serve as initial guesses for the location and size of potential objects. But how do we choose these anchor boxes? This brings us to a fundamental debate: predefined vs. learned anchor boxes. Let's explore the strengths and weaknesses of each approach. Predefined Anchor Boxes: The Classic Approach Traditional object detection models like R-CNN often rely on predefined anchor boxes, sets...