Joint Person Identity, Gender and Age Estimation from Hand Images using Deep Multi-Task Representation Learning

arXiv:2303.15263v4 Announce Type: replace
Abstract: In this paper, we propose a multi-task representation learning framework to jointly estimate the identity, gender and age of individuals from their hand images for the purpose of criminal investigations since the hand images are often the only available information in cases of serious crime such as sexual abuse. We investigate different up-to-date deep learning architectures and compare their performance for joint estimation of identity, gender and age from hand images of perpetrators of serious …

abstract age arxiv cs.cv framework gender identity images information investigations paper person representation representation learning type