Before revision:   Our empirical evaluations on four widely-used benchmarks show that AMAZ improves state-of-the-art methods by 3.8\% and 5.1 \% in ZSL and generalized ZSL settings, respectively, demonstrating the superiority of our method  .
After revision:  Our empirical evaluations on four widely-used benchmarks show that AMAZ improves state-of-the-art methods by 3.8\% and 5.1 \% in ZSL and generalized ZSL settings, respectively, demonstrating the superiority of our method . Our experiments on a zero-shot image retrieval task show AMAZ's ability to synthesize instances that portray real visual characteristics .