Adaptive Anchor Boxes: Refining Detection with Proposals
Beyond Static Anchors: Unleashing Object Detection with Dynamic Anchor Generation Object detection, the cornerstone of computer vision, relies heavily on accurately localizing and classifying objects within images. A key component in this process is anchor boxes – pre-defined bounding boxes used as templates for potential object locations. Traditionally, these anchors are static, meaning they have a fixed size and aspect ratio, leading to limitations when encountering diverse object scales and shapes. Enter Dynamic Anchor Generation (DAG) – a groundbreaking technique that revolutionizes object detection by generating anchor boxes on the fly, adapting to the specific characteristics of each image. This dynamic approach outperforms its static counterpart by significantly improving accuracy and versatility. The Problem with Static Anchors: Static anchors, while...