Before revision:  One of the possible reasons is that CNN pays more attention to the most discriminative regions, but ignores the auxiliary features  , leading to the lack of feature diversity  .
After revision:  One of the possible reasons is that CNN pays more attention to the most discriminative regions, but ignores the auxiliary features when learning , leading to the lack of feature diversity .