Probabilistic Deep Learning for Instance Segmentation

@inproceedings{Rumberger2020ProbabilisticDL,
  title={Probabilistic Deep Learning for Instance Segmentation},
  author={Josef Lorenz Rumberger and Lisa Mais and Dagmar Kainmueller},
  booktitle={ECCV Workshops},
  year={2020}
}
Probabilistic convolutional neural networks, which predict distributions of predictions instead of point estimates, led to recent advances in many areas of computer vision, from image reconstruction to semantic segmentation. Besides state of the art benchmark results, these networks made it possible to quantify local uncertainties in the predictions. These were used in active learning frameworks to target the labeling efforts of specialist annotators or to assess the quality of a prediction in… Expand

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