I'm newbie in artificial intelligence.
I have started to research about how to do image segmentation and all the papers that I have found are about CNN. Most of them use the same network, U-NET, but with little variations: with more or less layers, different parameters values, etc.; but with not very different results.
It seems that CNN are in fashion and everyone use them. Or there are another reasons that I don't know.
If everyone is getting not very different results, why are they using the same approach instead of trying different ones?