From 4d4d8089c7bf97158c1c6f440832379651f83b10 Mon Sep 17 00:00:00 2001 From: =?UTF-8?q?Dongbin=20Na=20/=20=EB=82=98=EB=8F=99=EB=B9=88?= Date: Sat, 4 Nov 2023 00:28:56 +0900 Subject: [PATCH] Update README.md --- README.md | 4 ++++ 1 file changed, 4 insertions(+) diff --git a/README.md b/README.md index 2d9861f..ae3a1fc 100644 --- a/README.md +++ b/README.md @@ -105,6 +105,10 @@ In this paper, we present a novel method for generating unrestricted adversarial |Identity Recognition|0.6465|0.1504|70.78%|67.00%|([code](./inversion_methods/pSp_identity_recognition.ipynb) \| [dataset](https://postechackr-my.sharepoint.com/:u:/g/personal/dongbinna_postech_ac_kr/EQIF7ZqRxDJCjTwWiO1xPe4BqpenC93AEpTnRpSOlrPl5g))| |Gender Recognition|0.6355|0.1625|98.30%|96.80%|([code](./inversion_methods/pSp_gender_recognition.ipynb) \| [dataset](https://postechackr-my.sharepoint.com/:u:/g/personal/dongbinna_postech_ac_kr/EXjDv_BYbjdIhGvNeM1kYB4BNtpLWYbuCwaQ-JB-ERt8jg))| +### Training the Original Classification Models + +* [CelebA HQ Face Identity and Attributes Recognition using PyTorch](https://github.com/ndb796/CelebA-HQ-Face-Identity-and-Attributes-Recognition-PyTorch) + ### Citation If this work can be useful for your research, please cite our paper: