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Learning Zero-Shot Material States Segmentation, by Implanting Natural
  Image Patterns in Synthetic Data

Learning Zero-Shot Material States Segmentation, by Implanting Natural Image Patterns in Synthetic Data

5 March 2024
S. Eppel
Jolina Li
Manuel S. Drehwald
Alán Aspuru-Guzik
ArXivPDFHTML

Papers citing "Learning Zero-Shot Material States Segmentation, by Implanting Natural Image Patterns in Synthetic Data"

2 / 2 papers shown
Title
CryoNuSeg: A Dataset for Nuclei Instance Segmentation of Cryosectioned
  H&E-Stained Histological Images
CryoNuSeg: A Dataset for Nuclei Instance Segmentation of Cryosectioned H&E-Stained Histological Images
A. Mahbod
Gerald Schaefer
Benjamin Bancher
Christine Löw
Georg Dorffner
R. Ecker
Isabella Ellinger
130
92
0
02 Jan 2021
U-Net: Convolutional Networks for Biomedical Image Segmentation
U-Net: Convolutional Networks for Biomedical Image Segmentation
Olaf Ronneberger
Philipp Fischer
Thomas Brox
SSeg
3DV
300
75,834
0
18 May 2015
1