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Connectivity-constrained Interactive Panoptic Segmentation
We address interactive panoptic annotation, where one segment all object and stuff regions in an image.
Connectivity-constrained interactive annotations for panoptic segmentation
Large-scale ground truth data sets are of crucial importance for deep learning based segmentation models, but annotating per-pixel masks is prohibitively time consuming.
Discrete Potts Model for Generating Superpixels on Noisy Images
Many computer vision applications, such as object recognition and segmentation, increasingly build on superpixels.
An ILP Solver for Multi-label MRFs with Connectivity Constraints
The method enforces connectivity priors iteratively by a cutting plane method, and provides feasible solutions with a guarantee on sub-optimality even if we terminate it earlier.
A First Derivative Potts Model for Segmentation and Denoising Using ILP
Unsupervised image segmentation and denoising are two fundamental tasks in image processing.
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