Focal Loss in Object Detection

So Focal Loss reduces the loss contribution from easy examples and increases the importance of correcting misclassified examples.) So, let's first understand what Cross-Entropy loss for binary classification. The idea behind Cross-Entropy loss is to penalize the wrong predictions more than to reward the right predictions.