527 citations · 1.1k across the 15 of their papers we have counts for
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cs.CV2023
Leveraging point annotations in segmentation learning with boundary loss
Eva Breznik, Hoel Kervadec, Filip Malmberg +4
This paper investigates the combination of intensity-based distance maps with boundary loss for point-supervised semantic segmentation. By design the boundary loss imposes a strong…
cs.CV2023
On the dice loss gradient and the ways to mimic it
Hoel Kervadec, Marleen de Bruijne
In the past few years, in the context of fully-supervised semantic segmentation, several losses -- such as cross-entropy and dice -- have emerged as de facto standards to supervise…