14 citations · 18 across the 7 of their papers we have counts for
Showing 2021 · cs.CVShow all
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cs.CV2021★ 1 cited
Contrastive Learning and Self-Training for Unsupervised Domain Adaptation in Semantic Segmentation
Robert A. Marsden, Alexander Bartler, Mario Döbler +1
Deep convolutional neural networks have considerably improved state-of-the-art results for semantic segmentation. Nevertheless, even modern architectures lack the ability to genera…
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.…