Improving Small Object Detection with Adaptive Anchors
Fighting Tiny Targets: How Adaptive Anchors Revolutionize Small Object Detection Object detection is a cornerstone of computer vision, enabling machines to "see" and understand the world around them. But this task isn't always straightforward, especially when it comes to detecting small objects. Traditional object detection methods rely on anchor boxes, predefined bounding boxes that serve as initial guesses for potential object locations. However, these anchors often struggle with small objects because they are typically designed based on the size distribution of larger objects. This mismatch leads to inaccurate predictions and missed detections. Enter Adaptive Anchors, a powerful technique that addresses this challenge head-on by dynamically adjusting anchor box sizes based on the image context and object scale. Why Adaptive Anchors...