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Panoptic segmentation with highly imbalanced semantic labels

Panoptic segmentation with highly imbalanced semantic labels

3 March 2022
J. L. Rumberger
Elias Baumann
Peter Hirsch
Andrew Janowczyk
Inti Zlobec
Dagmar Kainmueller
ArXivPDFHTML

Papers citing "Panoptic segmentation with highly imbalanced semantic labels"

2 / 2 papers shown
Title
Nuclear Segmentation and Classification: On Color & Compression
  Generalization
Nuclear Segmentation and Classification: On Color & Compression Generalization
Q. Vu
R. Jewsbury
S. Graham
Mostafa Jahanifar
S. Raza
F. Minhas
A. Bhalerao
Nasir M. Rajpoot
MedIm
19
6
0
09 Jan 2023
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
285
9,136
0
06 Jun 2015
1