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The Mutex Watershed and its Objective: Efficient, Parameter-Free Image Partitioning.

S. Wolf, A. Bailoni, C. Pape, N. Rahaman, A. Kreshuk, U. Köthe, and F. Hamprecht. CoRR, (2019)

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Constantin Klein

Constantin Lieb

Constantin NaduÌ

Constantin Baran

Constantin Frerick

Other publications of authors with the same name

Synthetic patches, real images: screening for centrosome aberrations in EM images of human cancer cells.A. Lukoyanov, I. Haberbosch, C. Pape, A. Kraemer, Y. Schwab, and A. Kreshuk. CoRR, (2019)From Shallow to Deep: Exploiting Feature-Based Classifiers for Domain Adaptation in Semantic Segmentation.A. Matskevych, A. Wolny, C. Pape, and A. Kreshuk. Frontiers Comput. Sci., (2022)GASP, a generalized framework for agglomerative clustering of signed graphs and its application to Instance Segmentation.A. Bailoni, C. Pape, N. Hütsch, S. Wolf, T. Beier, A. Kreshuk, and F. Hamprecht. CVPR, page 11635-11645. IEEE, (2022)Sparse Object-level Supervision for Instance Segmentation with Pixel Embeddings.A. Wolny, Q. Yu, C. Pape, and A. Kreshuk. CVPR, page 4392-4401. IEEE, (2022)Synthetic Patches, Real Images: Screening for Centrosome Aberrations in EM Images of Human Cancer Cells.A. Lukoyanov, I. Haberbosch, C. Pape, A. Krämer, Y. Schwab, and A. Kreshuk. MICCAI (1), volume 11764 of Lecture Notes in Computer Science, page 523-531. Springer, (2019)The Semantic Mutex Watershed for Efficient Bottom-Up Semantic Instance Segmentation.S. Wolf, Y. Li, C. Pape, A. Bailoni, A. Kreshuk, and F. Hamprecht. ECCV (6), volume 12351 of Lecture Notes in Computer Science, page 208-224. Springer, (2020)ViM-UNet: Vision Mamba for Biomedical Segmentation.A. Archit, and C. Pape. CoRR, (2024)The Mutex Watershed and its Objective: Efficient, Parameter-Free Image Partitioning.S. Wolf, A. Bailoni, C. Pape, N. Rahaman, A. Kreshuk, U. Köthe, and F. Hamprecht. CoRR, (2019)Reinforcement learning for instance segmentation with high-level priors.P. Hilt, M. Zarvandi, E. Kaziakhmedov, S. Bhide, M. Leptin, C. Pape, and A. Kreshuk. ICCV (Workshops), page 3915-3924. IEEE, (2023)Proposal-Free Volumetric Instance Segmentation from Latent Single-Instance Masks.A. Bailoni, C. Pape, S. Wolf, A. Kreshuk, and F. Hamprecht. GCPR, volume 12544 of Lecture Notes in Computer Science, page 331-344. Springer, (2020)

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Disambiguation of "Pape, Constantin"

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The Mutex Watershed and its Objective: Efficient, Parameter-Free Image Partitioning.

Please choose a person to relate this publication to

Constantin Klein

Constantin Lieb

Constantin NaduÌ

Constantin Baran

Constantin Frerick

Other publications of authors with the same name

Disambiguation

BibSonomy

Disambiguation of "Pape, Constantin"

copydeleteadd this publication to your clipboardcommunity posthistory of this postURLDOIBibTeXEndNoteAPAChicagoDIN 1505HarvardMSOffice XML The Mutex Watershed and its Objective: Efficient, Parameter-Free Image Partitioning.

Please choose a person to relate this publication to

Constantin Klein

Constantin Lieb

Constantin NaduÌ

Constantin Baran

Constantin Frerick

Other publications of authors with the same name

Disambiguation

copy delete add this publication to your clipboard
community post
history of this post
URL
DOI
BibTeX
EndNote
APA
Chicago
DIN 1505
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MSOffice XML

The Mutex Watershed and its Objective: Efficient, Parameter-Free Image Partitioning.