effectively will label maps and then a second branch which is the predictor network which for example takes an intensity image and predicts this latent representation from from this from this intensity image and we can sort of train this this network in an enjoy fashion now when you look at this you might say well hang on what's this what's this useful for well for example if we train our network for doing segmentation one of the things we can do is we put our low resolution image in we obtain a segmentation using our segmentation