Bridging Perception and Prediction: Feature-Guided Anchor Boxes
Beyond Single-Scale Anchors: Diving into Hybrid Anchor Box Systems with Feature Fusion Object detection is a cornerstone of computer vision, enabling machines to "see" and interpret the world around them. A key component in many popular object detection algorithms are anchor boxes, pre-defined bounding boxes used to predict the location and size of objects within an image. Traditionally, these algorithms rely on single-scale anchors, meaning they use a fixed set of anchor boxes at each location in the feature map. However, this approach often struggles with detecting objects of varying sizes. Small objects might be missed due to lack of suitable small anchors, while large objects can be poorly represented by small anchors. Enter hybrid anchor box systems: This innovative...