To boosting first call resolution

Self-Attention Generative Adversarial Networks

forms better than prior work1, boosting the best published Inception score from 36.8 to 52.52 and reducing Fr´echet Inception distance from 27.62 to 18.65 on the challenging ImageNet dataset. Visu-alization of the attention layers shows that the gen-erator leverages neighborhoods that correspond to object shapes rather than local regions of fixed

  Self, Boosting, Attention, Self attention