A background-only normalizing-flow density estimator on CNN features detects foreground objects in indoor scenes and generalizes better to novel objects than a standard FCN softmax segmenter.
Safety for mobile robotic systems: A systematic mapping study from a software engineering perspective,
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Learning Densities in Feature Space for Reliable Segmentation of Indoor Scenes
A background-only normalizing-flow density estimator on CNN features detects foreground objects in indoor scenes and generalizes better to novel objects than a standard FCN softmax segmenter.