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How Shift Equivariance Impacts Metric Learning for Instance Segmentation
Metric learning has received conflicting assessments concerning its suit...
01/14/2021 ∙ by Josef Lorenz Rumberger, et al. ∙
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Probabilistic Deep Learning for Instance Segmentation
Probabilistic convolutional neural networks, which predict distributions...
08/24/2020 ∙ by Josef Lorenz Rumberger, et al. ∙
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An Auxiliary Task for Learning Nuclei Segmentation in 3D Microscopy Images
Segmentation of cell nuclei in microscopy images is a prevalent necessit...
02/07/2020 ∙ by Peter Hirsch, et al. ∙
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PatchPerPix for Instance Segmentation
In this paper we present a novel method for proposal free instance segme...
01/21/2020 ∙ by Peter Hirsch, et al. ∙
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A Study of Lagrangean Decompositions and Dual Ascent Solvers for Graph Matching
We study the quadratic assignment problem, in computer vision also known...
12/16/2016 ∙ by Paul Swoboda, et al. ∙
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Convexity Shape Constraints for Image Segmentation
Segmenting an image into multiple components is a central task in comput...
09/07/2015 ∙ by Loic A. Royer, et al. ∙
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Relating Cascaded Random Forests to Deep Convolutional Neural Networks for Semantic Segmentation
We consider the task of pixel-wise semantic segmentation given a small s...
07/27/2015 ∙ by David L. Richmond, et al. ∙
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Dagmar Kainmueller
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Max Delbrück Center for Molecular Medicine
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MPI-CBG
