A Visual Classification Dataset and Model Evaluation for Historical Manuscript Illustrations

arXiv:2609.33449 · cs.CV, cs.LG · Submitted 2026-09-27 · Read on arXiv

cs.CV, cs.LG

Submitted: 2026-09-27

Updated: 2026-09-27

Terminology

• Embeddings — 14× in this paper · explained in 2 episodes
• Transformer — 10× in this paper · explained in 2 episodes
• Accuracy — 6× in this paper · explained in 1 episode
• Clustering — 5× in this paper · explained in 2 episodes
• Benchmark — 4× in this paper · explained in 2 episodes
• Interpretability — 3× in this paper · explained in 15 episodes
• Verification — 3× in this paper · explained in 2 episodes
• Alignment — 2× in this paper · explained in 1 episode
• Instruction Tuning — 2× in this paper · explained in 2 episodes
• Annotation Ambiguity — 1× in this paper · explained in 1 episode
• Annotator Agreement — 1× in this paper · explained in 1 episode
• Convolutional Neural Networks (CNNs) — 1× in this paper · explained in 2 episodes
• Empirical Coverage — 1× in this paper · explained in 2 episodes
• F1 Score — 1× in this paper · explained in 3 episodes
• Generalization — 1× in this paper · explained in 13 episodes
• Hallucination — 1× in this paper · explained in 3 episodes
• Ontology — 1× in this paper · explained in 2 episodes
• Robustness — 1× in this paper · explained in 5 episodes
• Selection Bias — 1× in this paper · explained in 4 episodes
• Synthetic Data Generation — 1× in this paper · explained in 5 episodes
• Transfer Learning — 1× in this paper · explained in 10 episodes

Sources

• Studying Illustrations in Manuscripts: An Efficient Deep-Learning Approach
• Object Hallucination in Image Captioning
• Historical Document Processing: Historical Document Processing: A Survey of Techniques, Tools, and Trends
• Qwen2-VL: Enhancing Vision-Language Model's Perception of the World at Any Resolution
• A survey of the Vision Transformers and their CNN-Transformer based Variants

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