In 2018, I published a blogpost about my VIM setup. Since I’m continously tweaking my setup, my previous post is quite outdated from my current setup. This means it is time for an update.
Sometimes we see artifacts in semantic segmentation networks. These neural networks often need a way to upsample feature maps which can be a source of such noise. There are a few papers on this noise which I will summarize here, including a simple, promising, (relatively) new approach in the last paper (with link to an implementation). Lastly, I list a few other potential areas to look when encountering this problem.