Matthias Rottmann
3 papers in the PaperMetrix corpus
Papers by this author
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The Ethical Dilemma when (not) Setting up Cost-based Decision Rules in Semantic Segmentation
2019 · arXiv (Cornell University)
Neural networks for semantic segmentation can be seen as statistical models that provide for each pixel of one image a probability distribution on predefined classes. The predicted class is then usually obtained by the maximum …
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Towards Rapid Prototyping and Comparability in Active Learning for Deep Object Detection
2022 · arXiv (Cornell University)
Active learning as a paradigm in deep learning is especially important in applications involving intricate perception tasks such as object detection where labels are difficult and expensive to acquire. Development of active learning methods in …
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OoDIS: Anomaly Instance Segmentation and Detection Benchmark
2024 · arXiv (Cornell University)
Safe navigation of self-driving cars and robots requires a precise understanding of their environment. Training data for perception systems cannot cover the wide variety of objects that may appear during deployment. Thus, reliable identification of …