Focal Loss for Dense Object Detection - CVF Open Access

3. Focal Loss The Focal Loss is designed to address the one-stage ob-ject detection scenario in which there is an extreme im-balancebetween foregroundand backgroundclasses during training (e.g., 1:1000). We introduce the focal loss starting from the cross entropy (CE) loss for binary classification1: CE(p,y)= (−log(p) if y =1 −log(1−p ...

  Loss, Object, Detection, Falco, Ject, Dense, Focal loss for dense object detection, Focal loss, Ob ject detection