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CelebA HQ Face Identity and Attributes Recognition using PyTorch

This repository provides a CelebA HQ face identity and attribute recognition model using PyTorch.

Datasets

Facial Identity Recognition Dataset

<pre> <b>Dataset/</b> <b>train/</b> identity 1/ identity 2/ ... <b>test/</b> identity 1/ identity 2/ ... </pre>

Face Gender Recognition Dataset

<pre> <b>Dataset/</b> <b>train/</b> male/ female/ <b>test/</b> male/ female/ </pre>

Model Training Examples

Facial Identity Recognition Model

<img width="60%" src="https://user-images.githubusercontent.com/16822641/110964369-7703c180-8396-11eb-9d13-bf9783682c1c.png"/>

Face Gender Recognition Dataset

<img width="60%" src="https://user-images.githubusercontent.com/16822641/110955992-84687e00-838d-11eb-86dd-c0a4760ac14b.png"/>

Citation

If this work can be useful for your research, please cite our paper:

<pre> @inproceedings{na2022unrestricted, title={Unrestricted Black-Box Adversarial Attack Using GAN with Limited Queries}, author={Na, Dongbin and Ji, Sangwoo and Kim, Jong}, booktitle={European Conference on Computer Vision}, pages={467--482}, year={2022}, organization={Springer} } </pre>