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Search results with tag "Focal loss for dense object detection"
Focal Loss for Dense Object Detection
arxiv.orgFocal Loss for Dense Object Detection Tsung-Yi Lin Priya Goyal Ross Girshick Kaiming He Piotr Doll´ar Facebook AI Research (FAIR) well-classi ed examples CE(p t) = log(p t) FL(p t) = (1 p t) log(p t) Figure 1. We propose a novel loss we term the Focal Loss that adds a factor (1 Enabled by the focal loss, our simple one-stagep
Focal Loss for Dense Object Detection - CVF Open Access
openaccess.thecvf.com3. 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 ...