1 citations · 1 across the 2 of their papers we have counts for
2 papers
cs.CV2023★ 1 cited
Principles of Forgetting in Domain-Incremental Semantic Segmentation in Adverse Weather Conditions
Tobias Kalb, Jürgen Beyerer
Deep neural networks for scene perception in automated vehicles achieve excellent results for the domains they were trained on. However, in real-world conditions, the domain of ope…
cs.CV2023
Effects of Architectures on Continual Semantic Segmentation
Tobias Kalb, Niket Ahuja, Jingxing Zhou +1
Research in the field of Continual Semantic Segmentation is mainly investigating novel learning algorithms to overcome catastrophic forgetting of neural networks. Most recent publi…