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Attila Nagy

2 papers indexed

arxivcs.CLcs.CV2026-06-30

Revising RVL-CDIP: Quantifying Errors and Test-Train Overlap

Stefan Larson, Attila Nagy, Sam Desai, Cyrus Desai, Nicole C. Lima, Yixin Yuan, et al.

RVL-CDIP is a popular dataset for benchmarking document classifiers. However, the dataset contains ample amounts of label errors as well as non-trivial amounts of test-train overlap, both of which may impact model performance metrics. In this paper, we address these two problems…

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crossrefRemote Sensing2025-07-25Cited by 3

Land Cover Mapping Using High-Resolution Satellite Imagery and a Comparative Machine Learning Approach to Enhance Regional Water Resource Management

János Tamás, Angura Louis, Zsolt Zoltán Fehér, Attila Nagy

Accurate land cover classification is vital for informed water resource management, especially in irrigation-dependent regions facing increased climate variability. Using fused multi-sensor remote sensing imagery from Landsat 8 and Sentinel-2, this study assesses the effectivenes…

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