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ProPanDL: A Modular Architecture for Uncertainty-Aware Panoptic
  Segmentation

ProPanDL: A Modular Architecture for Uncertainty-Aware Panoptic Segmentation

17 April 2023
Jacob Deery
Chang Won Lee
Steven Waslander
ArXivPDFHTML

Papers citing "ProPanDL: A Modular Architecture for Uncertainty-Aware Panoptic Segmentation"

2 / 2 papers shown
Title
Uncertainty-aware Panoptic Segmentation
Uncertainty-aware Panoptic Segmentation
Kshitij Sirohi
Sajad Marvi
Daniel Buscher
Wolfram Burgard
EDL
UQCV
26
26
0
29 Jun 2022
Dropout as a Bayesian Approximation: Representing Model Uncertainty in
  Deep Learning
Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning
Y. Gal
Zoubin Ghahramani
UQCV
BDL
261
9,136
0
06 Jun 2015
1