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Fine-Grained Age Estimation in the wild with Attention LSTM Networks

Fine-Grained Age Estimation in the wild with Attention LSTM Networks

26 May 2018
Ke Zhang
Na Liu
Xingfang Yuan
Xinyao Guo
Ce Gao
Zhenbing Zhao
Zhanyu Ma
    CVBM
ArXivPDFHTML

Papers citing "Fine-Grained Age Estimation in the wild with Attention LSTM Networks"

5 / 5 papers shown
Title
SwinFace: A Multi-task Transformer for Face Recognition, Expression
  Recognition, Age Estimation and Attribute Estimation
SwinFace: A Multi-task Transformer for Face Recognition, Expression Recognition, Age Estimation and Attribute Estimation
Lixiong Qin
Mei Wang
Chao Deng
K. Wang
Xiangshan Chen
Jiani Hu
Weihong Deng
CVBM
ViT
37
38
0
22 Aug 2023
Comparative assessment of federated and centralized machine learning
Comparative assessment of federated and centralized machine learning
Ibrahim Abdul Majeed
Sagar Kaushik
Aniruddha Bardhan
Venkata Siva Kumar Tadi
Hwang-Ki Min
K. Kumaraguru
Rajasekhara Reddy Duvvuru Muni
FedML
25
6
0
03 Feb 2022
Harnessing Unlabeled Data to Improve Generalization of Biometric Gender
  and Age Classifiers
Harnessing Unlabeled Data to Improve Generalization of Biometric Gender and Age Classifiers
Aakash Varma Nadimpalli
N. Reddy
Sreeraj Ramachandran
A. Rattani
16
4
0
09 Oct 2021
The Devil is in the Channels: Mutual-Channel Loss for Fine-Grained Image
  Classification
The Devil is in the Channels: Mutual-Channel Loss for Fine-Grained Image Classification
Dongliang Chang
Yifeng Ding
Jiyang Xie
A. Bhunia
Xiaoxu Li
Zhanyu Ma
Ming Wu
Jun Guo
Yi-Zhe Song
32
300
0
11 Feb 2020
Multimodal Age and Gender Classification Using Ear and Profile Face
  Images
Multimodal Age and Gender Classification Using Ear and Profile Face Images
Dogucan Yaman
Fevziye Irem Eyiokur
H. K. Ekenel
CVBM
16
29
0
23 Jul 2019
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