6 citations · 10 across the 8 of their papers we have counts for
4 papers · 1 filter
Robust Mean Teacher for Continual and Gradual Test-Time Adaptation
Mario Döbler, Robert A. Marsden, Bin Yang
Since experiencing domain shifts during test-time is inevitable in practice, test-time adaption (TTA) continues to adapt the model after deployment. Recently, the area of continual…
Continual Unsupervised Domain Adaptation for Semantic Segmentation using a Class-Specific Transfer
Robert A. Marsden, Felix Wiewel, Mario Döbler +2
In recent years, there has been tremendous progress in the field of semantic segmentation. However, one remaining challenging problem is that segmentation models do not generalize…
Introducing Intermediate Domains for Effective Self-Training during Test-Time
Robert A. Marsden, Mario Döbler, Bin Yang
Experiencing domain shifts during test-time is nearly inevitable in practice and likely results in a severe performance degradation. To overcome this issue, test-time adaptation co…
An Unsupervised Domain Adaptive Approach for Multimodal 2D Object Detection in Adverse Weather Conditions
George Eskandar, Robert A. Marsden, Pavithran Pandiyan +3
Integrating different representations from complementary sensing modalities is crucial for robust scene interpretation in autonomous driving. While deep learning architectures that…