Historical Color Image Dating

2 papers with code • 1 benchmarks • 0 datasets

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Most implemented papers

Non-parametric Uni-modality Constraints for Deep Ordinal Classification

sbelharbi/Deep-Ordinal-Classification-with-Inequality-Constraints 25 Nov 2019

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

axeber01/dold 29 Jun 2020

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.