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How Shift Equivariance Impacts Metric Learning for Instance Segmentation
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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
ArXiv (abs)PDFHTML

Papers citing "How Shift Equivariance Impacts Metric Learning for Instance Segmentation"

4 / 4 papers shown
Title
Tiling artifacts and trade-offs of feature normalization in the segmentation of large biological images
Tiling artifacts and trade-offs of feature normalization in the segmentation of large biological images
Elena Buglakova
Anwai Archit
Edoardo DÍmprima
Julia Mahamid
Constantin Pape
Anna Kreshuk
104
0
0
25 Mar 2025
Learning Image Priors through Patch-based Diffusion Models for Solving Inverse Problems
Learning Image Priors through Patch-based Diffusion Models for Solving Inverse Problems
Jason Hu
Bowen Song
Xiaojian Xu
Liyue Shen
Jeffrey A. Fessler
MedImDiffM
98
8
0
04 Jun 2024
Dual-level Interaction for Domain Adaptive Semantic Segmentation
Dual-level Interaction for Domain Adaptive Semantic Segmentation
Dongyu Yao
Boheng Li
81
3
0
16 Jul 2023
Panoptic segmentation with highly imbalanced semantic labels
Panoptic segmentation with highly imbalanced semantic labels
J. L. Rumberger
Elias Baumann
Peter Hirsch
Andrew Janowczyk
Inti Zlobec
Dagmar Kainmueller
79
7
0
03 Mar 2022

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