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20222024
most citedDocument Understanding Dataset and Evaluation (DUDE)

1 citations · 1 across the 6 of their papers we have counts for

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cs.CV2024

DistilDoc: Knowledge Distillation for Visually-Rich Document Applications

Jordy Van Landeghem, Subhajit Maity, Ayan Banerjee +4

This work explores knowledge distillation (KD) for visually-rich document (VRD) applications such as document layout analysis (DLA) and document image classification (DIC). While V…

cs.CV2024

Multimodal Adaptive Inference for Document Image Classification with Anytime Early Exiting

Omar Hamed, Souhail Bakkali, Marie-Francine Moens +2

This work addresses the need for a balanced approach between performance and efficiency in scalable production environments for visually-rich document understanding (VDU) tasks. Cu…

cs.CV2023

Beyond Document Page Classification: Design, Datasets, and Challenges

Jordy Van Landeghem, Sanket Biswas, Matthew B. Blaschko +1

This paper highlights the need to bring document classification benchmarking closer to real-world applications, both in the nature of data tested (: multi-channel, multi-paged,…

cs.CV2023★ 1 cited

Document Understanding Dataset and Evaluation (DUDE)

Jordy Van Landeghem, Rubén Tito, Łukasz Borchmann +10

We call on the Document AI (DocAI) community to reevaluate current methodologies and embrace the challenge of creating more practically-oriented benchmarks. Document Understanding…

cs.CV2022

Optimizing ship detection efficiency in SAR images

Arthur Van Meerbeeck, Jordy Van Landeghem, Ruben Cartuyvels +1

The detection and prevention of illegal fishing is critical to maintaining a healthy and functional ecosystem. Recent research on ship detection in satellite imagery has focused ex…