Scene-Aware Anchor Boxes for Object Detection
Supercharging Object Detection with Context: How Anchor Boxes Learn from the Scene Object detection, the task of identifying and locating objects within an image or video, is a cornerstone of computer vision. While significant strides have been made, traditional methods relying on fixed-size anchor boxes often struggle to accurately detect diverse objects across varying scales and scenes. Enter Contextual Anchor Adaptation based on Scene Features (CAASF) – a novel approach that empowers object detection models by leveraging the rich contextual information embedded within a scene. The Anchor Box Dilemma: Anchor boxes, predefined bounding box templates, are typically used in object detection algorithms to predict the location and size of objects. However, these pre-set anchors often fail to capture the diverse...