I'm a newbie in artificial intelligence.
I have started to research 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 fewer layers, different parameter values, etc.; but with not very different results.
It seems that CNNs are in fashion and everyone uses them. Or there are other 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?