Deep Learning, Machine Learning, Neural Networks, Computer Vision, Artificial Intelligence.
learning to each pixel in the image. These are particularly useful in the semantic segmentation of images, where the models need to learn pixel-level dense predictions. Variations of these loss functions have also been used in models such as U-Net, where a weighted pixel-wise cross-entropy loss was