14 citations · 19 across the 6 of their papers we have counts for
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cs.CV2022
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…
cs.CV2021★ 14 cited
MT3: Meta Test-Time Training for Self-Supervised Test-Time Adaption
Alexander Bartler, Andre Bühler, Felix Wiewel +2
An unresolved problem in Deep Learning is the ability of neural networks to cope with domain shifts during test-time, imposed by commonly fixing network parameters after training.…