64 citations · 93 across the 9 of their papers we have counts for
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cs.CV2026
Unmasking LAION-5B: Age, Gender, Race, and Emotion Biases in Large-Scale Image Datasets
Iris Dominguez-Catena, Daniel Paternain, Mikel Galar
Large-scale image-text datasets, such as LAION-5B, are foundational to modern AI systems, yet their vast scale and uncurated nature raise significant concerns about demographic and…
cs.CV2026
Evaluating Histogram Matching for Robust Deep learning-Based Grapevine Disease Detection
Ruben Pascual, Inés Hernández, Salvador Gutiérrez +4
Variability in illumination is a primary factor limiting deep learning robustness for field-based plant disease detection. This study evaluates Histogram Matching (HM), a technique…