{y}, y) = -\frac{1}{p} \sum_{i=1}^{p} y_i \log \hat{y}_i]
where (p) represents the number of pixels in the input image, (y_i) denotes the ground truth label of the (i^{th}) pixel, and (\hat{y}_i) signifies the predicted probability of the (i^{th}
{y}, y) = -\frac{1}{p} \sum_{i=1}^{p} y_i \log \hat{y}_i]
where (p) represents the number of pixels in the input image, (y_i) denotes the ground truth label of the (i^{th}) pixel, and (\hat{y}_i) signifies the predicted probability of the (i^{th}
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