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cs.CV2021
Temporal Feature Networks for CNN based Object Detection
Michael Weber, Tassilo Wald, J. Marius Zöllner
For reliable environment perception, the use of temporal information is essential in some situations. Especially for object detection, sometimes a situation can only be understood…
cs.CV2019
Automated Focal Loss for Image based Object Detection
Michael Weber, Michael Fürst, J. Marius Zöllner
Current state-of-the-art object detection algorithms still suffer the problem of imbalanced distribution of training data over object classes and background. Recent work introduced…
cs.CV2017
Fully Convolutional Neural Networks for Dynamic Object Detection in Grid Maps
Florian Piewak, Timo Rehfeld, Michael Weber +1
Grid maps are widely used in robotics to represent obstacles in the environment and differentiating dynamic objects from static infrastructure is essential for many practical appli…