Figure 2. During imbalanced object detection, the model makes more frequent class detections like hat and less rare class detections like
tiara both of which have strong upper location bias. FRACAL utilises fractal dimension and debiases the logits both in the frequency and
space axes, making fewer hat detections and more tiara detections that are both evenly spread in image space.