Beyond Default Anchors: Object Detection Refinements
Taming the Anchors: A Deep Dive into Anchor Box Regularization for Object Detection Object detection, the crucial task of identifying and localizing objects within images, has seen remarkable progress thanks to deep learning. At the heart of many state-of-the-art algorithms lie anchor boxes: predefined bounding boxes that serve as initial guesses for object locations. While anchors provide a valuable starting point, their effectiveness hinges on careful selection and refinement. This is where anchor box regularization comes into play, offering powerful techniques to improve detection accuracy and robustness. Understanding the Anchor Box Dilemma Imagine you're searching for cars in a bustling cityscape. You might start by looking at areas with similar characteristics – like roads or parking lots – assuming that...