mirror of
https://github.com/deepinsight/insightface.git
synced 2026-05-10 01:12:47 +00:00
5eba1df909
The documentation for training with a single GPU has been updated to reflect the latest best practices and recommendations. This update will help ensure that users have the information they need to effectively train their models using a single GPU. The updated documentation provides guidance on the limitations of using a single GPU, as well as tips for optimizing performance.
Face Recognition
Introduction
These are the face recognition methods of InsightFace
Datasets
Please refer to datasets page for the details of face recognition datasets used for training and evaluation.
Evaluation
Please refer to evaluation page for the details of face recognition evaluation.
Methods
Supported methods:
- ArcFace_mxnet (CVPR'2019)
- ArcFace_torch (CVPR'2019)
- SubCenter ArcFace (ECCV'2020)
- PartialFC_mxnet (CVPR'2022)
- PartialFC_torch (CVPR'2022)
- VPL (CVPR'2021)
- Arcface_oneflow
- ArcFace_Paddle (CVPR'2019)
Contributing
We appreciate all contributions to improve the face recognition model zoo of InsightFace.