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05/22/2023
Uncertainty-based Detection of Adversarial Attacks in Semantic Segmentation
State-of-the-art deep neural networks have proven to be highly powerful ...
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03/13/2023
Pixel-wise Gradient Uncertainty for Convolutional Neural Networks applied to Out-of-Distribution Segmentation
In recent years, deep neural networks have defined the state-of-the-art ...
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10/05/2022
Two Video Data Sets for Tracking and Retrieval of Out of Distribution Objects
In this work we present two video test data sets for the novel computer ...
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07/07/2022
False Negative Reduction in Semantic Segmentation under Domain Shift using Depth Estimation
State-of-the-art deep neural networks demonstrate outstanding performanc...
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06/28/2021
False Negative Reduction in Video Instance Segmentation using Uncertainty Estimates
Instance segmentation of images is an important tool for automated scene...
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12/14/2020
Improving Video Instance Segmentation by Light-weight Temporal Uncertainty Estimates
Instance segmentation with neural networks is an essential task in envir...
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12/08/2019
Detection of False Positive and False Negative Samples in Semantic Segmentation
In recent years, deep learning methods have outperformed other methods i...
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11/12/2019