We employ a designed loss function by calculating cosine similarity to extract an effective representation of the original signal from the transformed signal in the local subgraph learning.

Visual attention prediction (VAP) is a significant and imperative issue in the field of computer vision. Most of the existing VAP methods are based on deep learning. However, they do not fully take ...