ResearchTrend.AI
JAM: A Comprehensive Model for Age Estimation, Verification, and Comparability
v1v2 (latest)

JAM: A Comprehensive Model for Age Estimation, Verification, and Comparability

François David
Alexey A. Novikov
Ruslan Parkhomenko
Artem Voronin
Alix Melchy
ArXiv (abs)PDFHTML

Papers citing "JAM: A Comprehensive Model for Age Estimation, Verification, and Comparability"

3 / 3 papers shown
Title
ONOT: a High-Quality ICAO-compliant Synthetic Mugshot Dataset
ONOT: a High-Quality ICAO-compliant Synthetic Mugshot Dataset
Nicolò Di Domenico
Guido Borghi
Annalisa Franco
Davide Maltoni
CVBM
79
8
0
17 Apr 2024
Beyond Specialization: Assessing the Capabilities of MLLMs in Age and Gender Estimation
Beyond Specialization: Assessing the Capabilities of MLLMs in Age and Gender Estimation
Maksim Kuprashevich
Grigorii Alekseenko
Irina Tolstykh
ELM
111
5
0
04 Mar 2024
Unimodal-Concentrated Loss: Fully Adaptive Label Distribution Learning for Ordinal Regression
Unimodal-Concentrated Loss: Fully Adaptive Label Distribution Learning for Ordinal Regression
Qiang Li
Jingjing Wang
Zhaoliang Yao
Yachun Li
Pengju Yang
Jingwei Yan
Chunmao Wang
Shi Pu
57
30
0
01 Apr 2022

We use cookies and other tracking technologies to improve your browsing experience on our website, to show you personalized content and targeted ads, to analyze our website traffic, and to understand where our visitors are coming from. See our policy.