207 citations · 207 across the 1 of their papers we have counts for
2 papers
cs.CV2017★ 207 cited
Few-Shot Adversarial Domain Adaptation
Saeid Motiian, Quinn Jones, Seyed Mehdi Iranmanesh +1
This work provides a framework for addressing the problem of supervised domain adaptation with deep models. The main idea is to exploit adversarial learning to learn an embedded su…
cs.CV2017
Unified Deep Supervised Domain Adaptation and Generalization
Saeid Motiian, Marco Piccirilli, Donald A. Adjeroh +1
This work provides a unified framework for addressing the problem of visual supervised domain adaptation and generalization with deep models. The main idea is to exploit the Siames…