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20192022
most citedDeep Adversarial Transition Learning using Cross-Grafted Generative Stacks

7 citations · 9 across the 5 of their papers we have counts for

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Showing 2020Show all

2 papers · 1 filter

cs.LG2020

Cross-Domain Latent Modulation for Variational Transfer Learning

Jinyong Hou, Jeremiah D. Deng, Stephen Cranefield +1

We propose a cross-domain latent modulation mechanism within a variational autoencoders (VAE) framework to enable improved transfer learning. Our key idea is to procure deep repres…

cs.CV2020★ 7 cited

Deep Adversarial Transition Learning using Cross-Grafted Generative Stacks

Jinyong Hou, Xuejie Ding, Stephen Cranefield +1

Current deep domain adaptation methods used in computer vision have mainly focused on learning discriminative and domain-invariant features across different domains. In this paper,…