Semantically Slightly Significant Editing We have adapted the SeFa [ 22 ] algorithm and improved it further over the previous attempt at employing editable output in xAI-CycleGAN [ 9 ] by changing how the extracted eigenvalues are applied to the weights of the interpretable latent variable layer, which has features distilled into it from training due to explainability powered training.
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Attention-Enhanced Unpaired xAI-GANs for Transformation of Histological Stain Images.
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