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Historical Color Image Dating

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OrdinalCLIP: Learning Rank Prompts for Language-Guided Ordinal Regression

2022-06-06 · Wanhua Li, Xiaoke Huang, Zheng Zhu, Yansong Tang 외

This paper presents a language-powered paradigm for ordinal regression. Existing methods usually treat each rank as a category and employ a set of weights to learn these concepts. These methods are easy to overfit and us…

Aesthetics Quality AssessmentAge EstimationFew-shot Age EstimationHistorical Color Image Dating+3

Learning Probabilistic Ordinal Embeddings for Uncertainty-Aware Regression

2021-03-25 · CVPR 2021 1 · Wanhua Li, Xiaoke Huang, Jiwen Lu, Jianjiang Feng 외

Uncertainty is the only certainty there is. Modeling data uncertainty is essential for regression, especially in unconstrained settings. Traditionally the direct regression formulation is considered and the uncertainty i…

Aesthetics Quality AssessmentAge And Gender ClassificationAge EstimationHistorical Color Image Dating+1

Deep Ordinal Regression with Label Diversity

2020-06-29 · Axel Berg, Magnus Oskarsson, Mark O'Connor

Regression via classification (RvC) is a common method used for regression problems in deep learning, where the target variable belongs to a set of continuous values. By discretizing the target into a set of non-overlapp…

Age EstimationDiversityHead Pose EstimationHistorical Color Image Dating+1

Non-parametric Uni-modality Constraints for Deep Ordinal Classification

2019-11-25 · Soufiane Belharbi, Ismail Ben Ayed, Luke McCaffrey, Eric Granger

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 adja…

ClassificationGeneral ClassificationHistorical Color Image DatingOrdinal Classification

Probabilistic Deep Ordinal Regression Based on Gaussian Processes

2019-10-01 · ICCV 2019 10 · Yanzhu Liu, Fan Wang, Adams Wai Kin Kong

With excellent representation power for complex data, deep neural networks (DNNs) based approaches are state-of-the-art for ordinal regression problem which aims to classify instances into ordinal categories. However, DN…

Age And Gender ClassificationAge EstimationGaussian ProcessesHistorical Color Image Dating+1

A Constrained Deep Neural Network for Ordinal Regression

2018-06-01 · CVPR 2018 6 · Yanzhu Liu, Adams Wai Kin Kong, Chi Keong Goh

Ordinal regression is a supervised learning problem aiming to classify instances into ordinal categories. It is challenging to automatically extract high-level features for representing intraclass information and intercl…

Aesthetics Quality AssessmentAge EstimationHistorical Color Image Datingregression