News — Faster R-CNN RSS

Fine-Tuning the Focus: How Anchor Box Refinement Supercharges Faster R-CNN Object detection, the ability for a system to identify and locate objects within images, is a cornerstone of computer vision. While numerous algorithms exist, Faster R-CNN has consistently proven its prowess, achieving state-of-the-art results in diverse applications. However, this powerful framework relies heavily on a critical component: anchor boxes. Anchor boxes are predefined bounding boxes of various sizes and aspect ratios that serve as initial guesses for object locations. While conceptually simple, their quality significantly impacts Faster R-CNN's performance. Inadequate anchors can lead to misclassifications, missed detections, and an overall decrease in accuracy. This is where anchor box refinement comes into play – a technique that fine-tunes these boxes to...