Adaptive Class Weight based Dual Focal Loss for Improved Semantic Segmentation

26 Sep 2019Md Sazzad HossainAndrew P PaplinskiJohn M Betts

In this paper, we propose a Dual Focal Loss (DFL) function, as a replacement for the standard cross entropy (CE) function to achieve a better treatment of the unbalanced classes in a dataset. Our DFL method is an improvement on the recently reported Focal Loss (FL) cross-entropy function, which proposes a scaling method that puts more weight on the examples that are difficult to classify over those that are easy... (read more)

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