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by Michele Laurelli

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Focal Loss

Technique
Definition

Loss function addressing class imbalance by down-weighting easy examples.

Adds modulating factor (1-p)^γ to cross-entropy. Focuses training on hard examples. Used in object detection (RetinaNet) for handling background class imbalance.

Examples

1

RetinaNet object detection

2

Imbalanced classification

3

Hard example mining

Related Terms

Loss Function

A function that measures the difference between predicted and actual values, guiding model optimization.

Object Detection

A computer vision task that identifies and localizes objects within an image using bounding boxes.

Michele Laurelli - AI Research & Engineering