 This paper proposes a novel approach to SSVP classification that uses a combination of CNNs and correlation coefficients to achieve high accuracy without requiring any training data from unseen targets. The authors demonstrate that their method outperforms existing approaches by achieving a higher accuracy than the state-of-the-art training-free method. This article was authored by Shitian Wang, Iping Lu, Lu Wu, and others.