On the effect of age perception biases for real age regression

This is implementation of the paper "On the effect of age perception biases for real age regression" for age regression, accepted in the 14th IEEE International Conference on Automatic Face and Gesture Recognition (FG 2019).

Environment

1. python 3.7
2. pytorch 1.3.2
3. CUDA 10.1
4. cudnn 7.6.5
5. Linux Ubuntu 18.04 LTS

git clone https://github.com/qiangchen19/vgg_real_app_age_regression.git

Data Setup

1. Download the preprocessed data (train + valid + test set, + pre-trained model).

2. Create Directory

mkdir data/output
mkdir data/data_h5

Intructions

This code is support for pytorch.

Running the code (training and predicting) in the main function.

If you want to training, please set train_model to True.

If you want to test or predict, please set train_model to False.

Parameters are defined as: [data_path, train_model (True|False), stage_num (1|2), lr (current), batch_size, epochs, lr (stage 1), optims(Adam), use_gpu].

Code test only in gpu.

Citation

1. The reference paper (arXiv link) as:
2. @inproceedings{jacques:FG2019, author={Julio C. S. Jacques Junior and Cagri Ozcinar and Marina Marjanovic and Xavier Baro and Gholamreza Anbarjafari and Sergio Escalera}, booktitle={IEEE International Conference on Automatic Face and Gesture Recognition (FG)}, title={On the effect of age perception biases for real age regression}, year={2019}, }