Fine-Tuning Object Detection: A Look at Anchor Boxes
Unmasking the Mystery: A Deep Dive into Anchor Box Regression for Object Detection Object detection, the ability of computers to identify and locate objects within images or videos, is a cornerstone of computer vision. While numerous architectures have revolutionized this field, one fundamental component often remains shrouded in mystery: anchor boxes. Anchor boxes are pre-defined regions of varying sizes and aspect ratios placed on a feature map. They serve as the initial "guesses" for potential object locations, guiding the detection process. The success of an object detection model heavily relies on how effectively these anchor boxes are predicted and refined. This brings us to anchor box regression, a crucial step that fine-tunes the anchors' size and location to match the...