title: How is GAN based Image to segmentation map different from SOTA semantic segmentation methods?
body: <p>I have been looking around into papers like Pix2Pix and DeeplabV3. And In pix2pix paper there is an image to segmentation task performed. similarly, DeeplabV3 is used for segmentation tasks. I want to understand when should I use GAN for segmentation and when should I use SOTA segmentation methods. What are the pros and cons of these methods on the semantic segmentation?</p>