Age Prediction From Face Images Via Contrastive Learning

• URL: http://arxiv.org/abs/2308.11896v1
• Date: Wed, 23 Aug 2023 03:43:34 GMT
• Title: Age Prediction From Face Images Via Contrastive Learning
• Authors: Yeongnam Chae, Poulami Raha, Mijung Kim, Bjorn Stenger
• Abstract summary: We leverage readily available face datasets of different people at different ages and aim to extract age-related features using contrastive learning. Our method emphasizes relevant features while suppressing identity-related features using a combination of cosine similarity and triplet margin losses.
• Score: 1.7705784090599048
• License: http://creativecommons.org/licenses/by/4.0/
• Abstract: This paper presents a novel approach for accurately estimating age from face images, which overcomes the challenge of collecting a large dataset of individuals with the same identity at different ages. Instead, we leverage readily available face datasets of different people at different ages and aim to extract age-related features using contrastive learning. Our method emphasizes these relevant features while suppressing identity-related features using a combination of cosine similarity and triplet margin losses. We demonstrate the effectiveness of our proposed approach by achieving state-of-the-art performance on two public datasets, FG-NET and MORPH-II.

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