Junk, or just heterogeneity piling up along the edges of masks (if they are being used). In difficult datasets you’ll often reach a point where the challenge becomes legitimately improving some parts of the map vs. accumulating artifacts like these “tulips” in other parts. I have yet to find a silver bullet, but not for lack of trying.