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06/13/2023
LMD: Light-weight Prediction Quality Estimation for Object Detection in Lidar Point Clouds
Object detection on Lidar point cloud data is a promising technology for...
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03/13/2023
Identifying Label Errors in Object Detection Datasets by Loss Inspection
Labeling datasets for supervised object detection is a dull and time-con...
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12/21/2022
Towards Rapid Prototyping and Comparability in Active Learning for Deep Object Detection
Active learning as a paradigm in deep learning is especially important i...
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05/30/2022
Uncertainty Quantification and Resource-Demanding Computer Vision Applications of Deep Learning
Bringing deep neural networks (DNNs) into safety critical applications s...
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07/09/2021
Gradient-Based Quantification of Epistemic Uncertainty for Deep Object Detectors
Reliable epistemic uncertainty estimation is an essential component for ...
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10/04/2020
MetaDetect: Uncertainty Quantification and Prediction Quality Estimates for Object Detection
In object detection with deep neural networks, the box-wise objectness s...
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04/09/2019
