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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"

13 / 13 papers shown
Title
CoNIC: Colon Nuclei Identification and Counting Challenge 2022
CoNIC: Colon Nuclei Identification and Counting Challenge 2022
S. Graham
Mostafa Jahanifar
Q. Vu
G. Hadjigeorghiou
Thomas Leech
David R. J. Snead
S. Raza
F. Minhas
Nasir M. Rajpoot
48
67
0
29 Nov 2021
Lizard: A Large-Scale Dataset for Colonic Nuclear Instance Segmentation
  and Classification
Lizard: A Large-Scale Dataset for Colonic Nuclear Instance Segmentation and Classification
S. Graham
Mostafa Jahanifar
A. Azam
M. Nimir
Yee Wah Tsang
...
S. Raza
H. Eldaly
K. Gopalakrishnan
David R. J. Snead
Nasir M. Rajpoot
58
127
0
25 Aug 2021
Self-supervised Augmentation Consistency for Adapting Semantic
  Segmentation
Self-supervised Augmentation Consistency for Adapting Semantic Segmentation
Nikita Araslanov
Stefan Roth
80
231
0
30 Apr 2021
How Shift Equivariance Impacts Metric Learning for Instance Segmentation
How Shift Equivariance Impacts Metric Learning for Instance Segmentation
J. L. Rumberger
Xiaoyan Yu
Peter Hirsch
Melanie Dohmen
Vanessa Emanuela Guarino
Ashkan Mokarian
Lisa Mais
Jan Funke
Dagmar Kainmueller
60
6
0
14 Jan 2021
Probabilistic Deep Learning for Instance Segmentation
Probabilistic Deep Learning for Instance Segmentation
J. L. Rumberger
Lisa Mais
Dagmar Kainmueller
UQCV
SSeg
69
9
0
24 Aug 2020
An Auxiliary Task for Learning Nuclei Segmentation in 3D Microscopy
  Images
An Auxiliary Task for Learning Nuclei Segmentation in 3D Microscopy Images
Peter Hirsch
Dagmar Kainmueller
117
13
0
07 Feb 2020
Self-training with Noisy Student improves ImageNet classification
Self-training with Noisy Student improves ImageNet classification
Qizhe Xie
Minh-Thang Luong
Eduard H. Hovy
Quoc V. Le
NoLa
307
2,386
0
11 Nov 2019
EfficientNet: Rethinking Model Scaling for Convolutional Neural Networks
EfficientNet: Rethinking Model Scaling for Convolutional Neural Networks
Mingxing Tan
Quoc V. Le
3DV
MedIm
137
18,115
0
28 May 2019
HoVer-Net: Simultaneous Segmentation and Classification of Nuclei in
  Multi-Tissue Histology Images
HoVer-Net: Simultaneous Segmentation and Classification of Nuclei in Multi-Tissue Histology Images
S. Graham
Q. Vu
S. Raza
A. Azam
Yee Wah Tsang
J. T. Kwak
Nasir M. Rajpoot
76
1,030
0
16 Dec 2018
Cell Detection with Star-convex Polygons
Cell Detection with Star-convex Polygons
Uwe Schmidt
Martin Weigert
Coleman Broaddus
E. Myers
68
1,105
0
09 Jun 2018
Rethinking the Inception Architecture for Computer Vision
Rethinking the Inception Architecture for Computer Vision
Christian Szegedy
Vincent Vanhoucke
Sergey Ioffe
Jonathon Shlens
Z. Wojna
3DV
BDL
878
27,358
0
02 Dec 2015
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
818
9,306
0
06 Jun 2015
U-Net: Convolutional Networks for Biomedical Image Segmentation
U-Net: Convolutional Networks for Biomedical Image Segmentation
Olaf Ronneberger
Philipp Fischer
Thomas Brox
SSeg
3DV
1.8K
77,133
0
18 May 2015
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