Fig. 25
From: Enhancing artistic style classification through a novel ArtFusionNet framework
Qualitative error and interpretability analysis of proposed framework. Examples of misclassified works of art are presented in a 2 × 2 grid, with ground truth (left) and predicted (right) style labels in the title of each panel. The images contain the overlay of the self-attention-like map of the model (main view) and a spectral residual saliency map (inset, top-left). Misclassification cases are indicated by red titles and borders. The attention overlays show the areas that made the most contribution to the classification decision, and the saliency insets are another confirmation of visually salient areas. All these visualizations show the strengths of the model in terms of capturing the stylistic cues and its weaknesses in terms of borderline or stylistically overlapping categories.
