How Shift Equivariance Impacts Metric Learning for Instance Segmentation

v1v2v3 (latest)

How Shift Equivariance Impacts Metric Learning for Instance Segmentation

14 January 2021

J. L. Rumberger

Xiaoyan Yu

Vanessa Emanuela Guarino

Ashkan Mokarian

Dagmar Kainmueller

ArXiv (abs)PDF HTML

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 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 Jason Hu Bowen Song Xiaojian Xu Liyue Shen Jeffrey A. Fessler MedIm DiffM 98 8 0 04 Jun 2024
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 J. L. Rumberger Elias Baumann Peter Hirsch Andrew Janowczyk Inti Zlobec Dagmar Kainmueller 79 7 0 03 Mar 2022