notesum.ai

Published at November 25

A Review of Bayesian Uncertainty Quantification in Deep Probabilistic Image Segmentation

cs.CV

cs.AI

eess.IV

stat.ML

Released Date: November 25, 2024

Authors: M. M. A. Valiuddin, R. J. G. van Sloun, C. G. A. Viviers, P. H. N. de With, F. van der Sommen

Arxiv: http://arxiv.org/abs/2411.16370v1

Refer to caption

		LIDCv1		LIDCv2
Method	Year	GED₁₆	HM-IoU₁₆	GED₁₆	HM-IoU₁₆
PU-Net [58]	2018	$0.310\pm 0.010$	$0.552\pm 0.000$	$0.320\pm 0.030$	$0.500\pm 0.030$
HPU-Net [71]	2019	$0.270\pm 0.010$	$0.530\pm 0.010$	$0.270\pm 0.010$	$0.530\pm 0.010$
PhiSeg [72]	2019	$0.262\pm 0.000$	$0.586\pm 0.000$	-	-
SSN [50]	2020	$0.259\pm 0.000$	$0.558\pm 0.000$	-	-
CAR [56]	2021	-	-	$0.264\pm 0.002$	$0.592\pm 0.005$
JProb. U-Net [133]	2022	-	-	$0.262\pm 0.000$	$0.585\pm 0.000$
PixelSeg [53]	2022	$0.243\pm 0.010$	$0.614\pm 0.000$	$0.260\pm 0.000$	$0.587\pm 0.010$
MoSE [78]	2022	$0.218\pm 0.001$	$0.624\pm 0.004$	-	-
AB [134]	2022	$0.213\pm 0.001$	$0.614\pm 0.001$	-	-
CIMD [95]	2023	$0.234\pm 0.005$	$0.587\pm 0.001$	-	-
CCDM [94]	2023	$0.212\pm 0.002$	$0.623\pm 0.002$	$0.239\pm 0.003$	$0.598\pm 0.001$