research
∙
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...
share
research
∙
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...
research
∙
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 ...
research
∙
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...
research
∙
05/30/2022
Uncertainty Quantification and Resource-Demanding Computer Vision Applications of Deep Learning
Bringing deep neural networks (DNNs) into safety critical applications s...
research
∙
07/09/2021