TFace: 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.
This module implements various state-of-art algorithms for face recognition.
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]
This module implements various state-of-art algorithms for face security.
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]
This module implements the SDD-FIQA algorithm for face quality.
2021.3
: SDD-FIQA: Unsupervised Face Image Quality Assessment with Similarity Distribution Distance
accepted by CVPR2021. [paper]