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Artifacts in semantic segmentation using convolutional neural networks

Published: less than 1 minute read

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.