Kira Maag

Time-Dynamic Estimates of the Reliability of Deep Semantic Segmentation Networks

Hanno Gottschalk, Matthias Rottmann, Kira Maag, 2019, 2020 IEEE 32nd International Conference on Tools with Artificial Intelligence (ICTAI).

Improving Video Instance Segmentation by Light-weight Temporal Uncertainty Estimates pdf

Hanno Gottschalk, Matthias Rottmann, Peter Schlicht, 2020, 2021 International Joint Conference on Neural Networks (IJCNN).

Detection of False Positive and False Negative Samples in Semantic Segmentation

Hanno Gottschalk, Matthias Rottmann, Peter Schlicht, 2019, 2020 Design, Automation & Test in Europe Conference & Exhibition (DATE).

Improving Video Instance Segmentation by Light-weight Temporal Uncertainty Estimates

Hanno Gottschalk, Matthias Rottmann, Peter Schlicht, 2020, 2021 International Joint Conference on Neural Networks (IJCNN).

An Unsupervised Temporal Consistency (TC) Loss to Improve the Performance of Semantic Segmentation Networks

Tim Fingscheidt, Peter Schlicht, Fabian Hüger, 2021, 2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW).

Prediction Rating and Performance Improvement for Segmentation Networks by Time-Dynamic Uncertainty Estimates

Kira Maag, 2021 .

False Negative Reduction in Video Instance Segmentation using Uncertainty Estimates

Kira Maag, Kira Maag, 2021, 2021 IEEE 33rd International Conference on Tools with Artificial Intelligence (ICTAI).