If I have an image (a) and corresponding fixation heatmaps (c) for those images, what model would be best for generating predicted heatmaps for images.
I have tried implementing a U-Net segmentation model where the inputs are both (a) and (c). However, the model does not output the predicted heatmaps. It only tries to segment the original image (a). Is a segmentation approach the best solution to this problem?
