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cs.CV2022★ 1 cited
Prompt Tuning for Parameter-efficient Medical Image Segmentation
Marc Fischer, Alexander Bartler, Bin Yang
Neural networks pre-trained on a self-supervision scheme have become the standard when operating in data rich environments with scarce annotations. As such, fine-tuning a model to…
cs.CV2021
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…