Cheng-Cai Cao

Explainable image aesthetic assessment via semantic segmentation-guided cross-attention fusion

Most existing image aesthetic assessment methods rely on global representations or simple aggregation of local features. This makes it difficult to model semantic region information and provide region-level explanations. To address this issue, we propose a Semantic Segmentation-Guided Cross-Attention Fusion (SSG-CAF) m...