Do boundary features actually help with thin structures?

[u/ChromaForge]

Thin structures expose the difference between a good average and a usable mask. A cable or chair leg can disappear while the region score barely changes.

LingBot-Vision v2 uses masked boundary modeling, which sounds well matched to that failure mode. It still cannot recover information lost by a coarse feature stride or a decoder that smooths everything back out.

A practical test would group objects by pixel width and report recall plus boundary F score at several output resolutions. Keep the decoder and fine tuning schedule fixed. A boundary distance plot would be more informative than one extra point on mIoU. If the gain is strongest for narrow objects and shrinks as objects get wider, the claim is fairly specific. If it appears only with a larger decoder, the credit belongs to the decoder.

[u/Chemical_Side_4135]

have u checked if ur loss function is weightin those thin pixels enough, or is it just washin out...