Recently I read a paper and they cited these two problems when training GANs. I know about mode collapsing, where the generator produces a limited varieties of samples, however I did not find a good explanation about mode dropping.
Does anyone have a good answer?
The paper is the following: An empirical study on evaluation metrics of generative adversarial networks