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cs.CV2026
Visual Information Extraction from Documents via Classification-Guided Large Vision-Language Models
Huafu Li, Guo Chen, Jia Xia +5
Visual information extraction (VIE) from visually rich documents remains challenging due to high layout variability and real-world impairments. Existing methods typically rely on s…
cs.CV2026
MSD-Score: Multi-Scale Distributional Scoring for Reference-Free Image Caption Evaluation
Shichao Kan, Xuyang Zhang, Haojie Zhang +7
Evaluating image captions without references remains challenging because global embedding similarity often misses fine-grained mismatches such as hallucinated objects, missing attr…
cs.CV2025
AKRMap: Adaptive Kernel Regression for Trustworthy Visualization of Cross-Modal Embeddings
Yilin Ye, Junchao Huang, Xingchen Zeng +2
Cross-modal embeddings form the foundation for multi-modal models. However, visualization methods for interpreting cross-modal embeddings have been primarily confined to traditiona…