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Jun, 2019
基于对抗域自适应的零样本学习生成框架
A Generative Framework for Zero-Shot Learning with Adversarial Domain Adaptation
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Varun Khare, Divyat Mahajan, Homanga Bharadhwaj, Vinay Verma, Piyush Rai
TL;DR
该研究提出了一种基于领域自适应的生成模型,解决了零样本学习中类分布之间的领域偏移问题,并通过对抗性训练增强了神经网络分类器的鲁棒性。
Abstract
In this paper, we present a
domain adaptation
based generative framework for
zero-shot learning
. We explicitly target the problem of domain shift between the seen and unseen class distribution in
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