Historical Color Image Dating
2 papers with code • 1 benchmarks • 0 datasets
Most implemented papers
Non-parametric Uni-modality Constraints for Deep Ordinal Classification
sbelharbi/Deep-Ordinal-Classification-with-Inequality-Constraints
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We propose a new constrained-optimization formulation for deep ordinal classification, in which uni-modality of the label distribution is enforced implicitly via a set of inequality constraints over all the pairs of adjacent labels.
Deep Ordinal Regression with Label Diversity
By discretizing the target into a set of non-overlapping classes, it has been shown that training a classifier can improve neural network accuracy compared to using a standard regression approach.
