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Found 2 papers, 1 papers with code
Realistic Image Normalization for Multi-Domain Segmentation
This paper proposes to revisit the conventional image normalization approach by instead learning a common normalizing function across multiple datasets.
Adversarial normalization for multi domain image segmentation
To solve this problem, we propose an adversarial normalization approach for image segmentation which learns common normalizing functions across multiple datasets while retaining image realism.
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