r/deeplearning - Can we use RNNs by the end layer to generate Semantic Segmentation results without upsampling?

What I mean is that, can I use a simple Image classification algorithm connected in the end with a multi-dimensional RNN at the end that based on my definition of required size, say 300x500 produces 300x500 pixel values? Does Anyone know simple semantic segmentation Fully convolutional method without upsampling?