arXiv Machine Learning
Fragment-Aware Vision Transformers for Fresco-Fragment Style Classification
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HCSU: A Dataset and Benchmark for Fine-Grained Historical Calligraphy Style Understanding
arXiv:2607. 04147v1 Announce Type: cross Abstract: Automated fine-grained perception of calligraphy styles--a task vital to cultural heritage preservation--remains a critical challenge for Large Vision-Language Models (LVLMs), largely constrained by existing datasets that suffer from modal mixture and flattened labels.
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CRISP: Compositional Relations as Invariant Structural Priors for Domain Generalization
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arXiv Computer Vision
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VIGIL: Tackling Hallucination Detection in Image Recontextualization
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arXiv Machine Learning
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MinhwaNet: Faithful but Insufficient Object Grounding in Korean Folk Painting
arXiv:2606. 09855v1 Announce Type: cross Abstract: Korean folk painting (minhwa) is built from a small vocabulary of auspicious symbols, a tiger for protection, a pair of birds for marital harmony, a peony for wealth, that recur across many of its painted genres.