Post #674852
2023-08-25 22:36 UTC
New paper #hcomp2023 led by an ugrad in my lab, Andre Ye and
@cqz! We look at how to represent uncertainty in 2D annotations for computer vision models. In this case, we focus on medical image segmentation, where uncertainty is important for experts to interpret. https://arxiv.org/abs/2308.07528
Replies (2)
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@axz@hci.social 2023-08-25 22:37
We propose a new annotation technique building on @cqz's work on using ranges to capture calibrated uncertainty for scales in the 2D setting by having annotators draw low and high "confidence contours" as opposed to asking multiple people to annotate a singular boundary.
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@jbigham@hci.social 2023-08-25 22:42
@axz @cqz really cool work!