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Semi-Supervised Semantic Segmentation of Vessel Images using Leaking Perturbations
In addition, to overcome the variations in medical images, the mean-teacher mechanism is utilized as an auxiliary regularization of the discriminator.
Cross-Domain Latent Modulation for Variational Transfer Learning
Our key idea is to procure deep representations from one data domain and use it as perturbation to the reparameterization of the latent variable in another domain.
Deep Adversarial Transition Learning using Cross-Grafted Generative Stacks
Current deep domain adaptation methods used in computer vision have mainly focused on learning discriminative and domain-invariant features across different domains.
Unsupervised Domain Adaptation using Deep Networks with Cross-Grafted Stacks
Current deep domain adaptation methods used in computer vision have mainly focused on learning discriminative and domain-invariant features across different domains.
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