开源软件名称:TFace
开源软件地址:https://gitee.com/mirrors_Tencent/TFace
开源软件介绍:
IntroductionTFace: A trusty face analysis research platform developed by Tencent Youtu Lab. It provides a high-performance distributed training framework and releases our efficient methods implementations.Some of the algorithms are self-developed, and we believe the released codes benefits researchers to follow. This project consists of several modules: Face Recognition, Face Security and Face Quality. Face RecognitionThis module implements various state-of-art algorithms for face recognition. Paper List:2021.3 : Consistent Instance False Positive Improves Fairness in Face Recognition accepted by CVPR2021. [paper]
2021.3 : Spherical Confidence Learning for Face Recognition accepted by CVPR2021. [paper]
2020.8 : Improving Face Recognition from Hard Samples via Distribution Distillation Loss accepted by ECCV2020. [paper]
2020.3 : Curricularface: adaptive curriculum learning loss for deep face recognition has been accepted by CVPR2020. [paper]
Face SecurityThis module implements various state-of-art algorithms for face security. Paper List:2021.12 : Dual Contrastive Learning for General Face Forgery Detection accepted by AAAI2022
2021.12 : Exploiting Fine-grained Face Forgery Clues via Progressive Enhancement Learning accepted by AAAI2022
2021.12 : Delving into the Local: Dynamic Inconsistency Learning for DeepFake Video Detection accepted by AAAI2022
2021.12 : Feature Generation and Hypothesis Verification for Reliable Face Anti-Spoofing accepted by AAAI2022
2021.07 : Spatiotemporal Inconsistency Learning for DeepFake Video Detection accepted by ACM MM2021[paper] [Analysis]
2021.07 : Adaptive Normalized Representation Learning for Generalizable Face Anti-Spoofing accepted by ACM MM2021[paper]
2021.07 : Structure Destruction and Content Combination for Face Anti-Spoofing accepted by IJCB2021[paper]
2021.04 : Adv-Makeup: A New Imperceptible and Transferable Attack on Face Recognition accepted by IJCAI2021[paper]
2021.04 : Dual Reweighting Domain Generalization for Face Presentation Attack Detection accepted by IJCAI2021[paper]
2021.03 : Delving into Data: Effectively Substitute Training for Black-box Attack accepted by CVPR2021. [paper]
2020.12 : Generalizable Representation Learning for Mixture Domain Face Anti-Spoofing accepted by AAAI2021. [paper]
2020.12 : Local Relation Learning for Face Forgery Detection accepted by AAAI2021. [paper]
2020.06 : Face Anti-Spoofing via Disentangled Representation Learning accepted by ECCV2020. [paper]
Face QualityThis module implements the SDD-FIQA algorithm for face quality. Paper List:2021.3 : SDD-FIQA: Unsupervised Face Image Quality Assessment with Similarity Distribution Distance accepted by CVPR2021. [paper] |
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