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20192024
most citedZero-Shot Prompting and Few-Shot Fine-Tuning: Revisiting Document Image Classification Using Large Language Models

10 citations · 14 across the 5 of their papers we have counts for

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cs.CV2024★ 10 cited

Zero-Shot Prompting and Few-Shot Fine-Tuning: Revisiting Document Image Classification Using Large Language Models

Anna Scius-Bertrand, Michael Jungo, Lars Vögtlin +2

Classifying scanned documents is a challenging problem that involves image, layout, and text analysis for document understanding. Nevertheless, for certain benchmark datasets, nota…

cs.CV2024

Contrastive Learning for Character Detection in Ancient Greek Papyri

Vedasri Nakka, Andreas Fischer, Rolf Ingold +1

This thesis investigates the effectiveness of SimCLR, a contrastive learning technique, in Greek letter recognition, focusing on the impact of various augmentation techniques. We p…