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How Shift Equivariance Impacts Metric Learning for Instance Segmentation
Metric learning has received conflicting assessments concerning its suit...
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Probabilistic Deep Learning for Instance Segmentation
Probabilistic convolutional neural networks, which predict distributions...
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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...
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PatchPerPix for Instance Segmentation
In this paper we present a novel method for proposal free instance segme...
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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...
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Convexity Shape Constraints for Image Segmentation
Segmenting an image into multiple components is a central task in comput...
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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...
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Dagmar Kainmueller
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