GC-ART learns global second-order rational tone curves from soft per-channel histograms via a 643-parameter MLP and applies them pointwise to boost illumination robustness in image classification.
Learning multiple layers of features from tiny images
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
citation-role summary
dataset 1
citation-polarity summary
fields
cs.CV 1years
2026 1verdicts
UNVERDICTED 1roles
dataset 1polarities
use dataset 1representative citing papers
citing papers explorer
-
GC-ART: Global Learnable Second-Order Rational Tone Curves for Illumination Robustness
GC-ART learns global second-order rational tone curves from soft per-channel histograms via a 643-parameter MLP and applies them pointwise to boost illumination robustness in image classification.