Bi-Semantic Reconstructing Generative Network for Zero-shot Learning

1 code implementation • 9 Dec 2019 • Shibing Xu, Zishu Gao, Guojun Xie

In order to improve the quality of synthesized samples, considering the internal relation of the semantic description in the semantic space as well as the fact that the seen and unseen visual information belong to different domains, we propose a bi-semantic reconstructing (BSR) component which contain two different semantic reconstructing regressors to lead the training of GAN.

General Classification Generative Adversarial Network +1