InsightFace is an open source 2D&3D deep face analysis library.
2021.04: Rank 4 of NIST-FRVT 1:1, see leaderboard.
2021.01: Rank 4 of 2020 top 10 trending AI libraries, from paperswithcode.
2019.08: Achieved 2nd place at WIDER Face Detection Challenge 2019.
2019.04: RetinaFace obtains state-of-the-art results on WIDERFace dataset.
2019.01: Achieved 1st place at iQIYI VID Challenge.
The code of InsightFace is MIT licensed. See the project on GitHub.
Contact Us: contact@insightface.ai
ArcFace is the state of the art face recognition approach which accepted on CVPR 2019.
See the ArcFace project page.
SubCenter-ArcFace is a face recognition approach on large-scale noisy web faces which accepted on ECCV 2020.
See the SubCenter-ArcFace project page.
VPL(Variational Prototype Learning for Deep Face Recognition) is a face recognition approach which accepted on CVPR 2021.
See the VPL project page.
Partial-FC is a large-scale training framework for face recognition.
See the Partial-FC project page.
RetinaFace is the state of the art multi-tasks face detection approach which accepted on CVPR 2020.
See the RetinaFace project page.
Stacked dense u-nets is a face alignment approach which accepted on BMVC 2018.
See the SDUNet project page.
CoordinateReg is an experimental face alignment approach for fast and accurate inference.
See the CoordinateReg project page.
IFRT is a globalised fair benchmark for face recognition algorithms. IFRT evaluates the algorithm performance on worldwide web pictures which contain various sex, age and race groups.
See the IFRT challenge page.
The Lightweight Face Recognition Challenge & Workshop will be held in conjunction with the International Conference on Computer Vision (ICCV) 2019, Seoul Korea.
See the LFR challenge page.
