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Recent papers like Monkey: Image Resolution and Text Label Are Important Things for CVPR 2024 use high-resolution image sets to improve visual understanding in Large Language Models.

The study highlights that OCR-free models perform better when queries involve visual, non-text elements, and that models pre-trained on image-text contrastive learning tasks (like CLIP ) show superior accuracy. Other Potential Matches

(PDF) Image Matching across Wide Baselines: From Paper to Practice

If the paper above does not match your specific context, "39l.jpg" also appears in these areas:

Some researchers use these specific filenames in benchmarks for Image Matching across Wide Baselines to test how models handle different perspectives of the same object.

Knowing if it contains a building , a document , or a product will help identify the exact research citation.