The implementation of the CVPR2021 paper "Structure-Aware Face Clustering on a Large-Scale Graph with 10^7 Nodes"
☆104Jan 4, 2023Updated 3 years ago
Alternatives and similar repositories for STAR-FC
Users that are interested in STAR-FC are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- face-cluster-by-infomap 一种无监督人脸聚类方法,在开源数据集上取得SOTA效果☆184Apr 7, 2021Updated 4 years ago
- Learning to Cluster Faces (CVPR 2019, CVPR 2020)☆722Dec 27, 2021Updated 4 years ago
- Code for CVPR'23 paper "Local Connectivity-Based Density Estimation for Face Clustering".☆23Aug 15, 2023Updated 2 years ago
- This is an official implementation for "Ada-NETS: Face Clustering via Adaptive Neighbour Discovery in the Structure Space" accepted at I…☆37Sep 25, 2023Updated 2 years ago
- Official implementation for "On Mitigating Hard Clusters for Face Clustering" (ECCV 2022 Oral).☆31Dec 29, 2023Updated 2 years ago
- NordVPN Special Discount Offer • AdSave on top-rated NordVPN 1 or 2-year plans with secure browsing, privacy protection, and support for for all major platforms.
- An Online Algorithm for Constrained Face Clustering in Videos☆12Oct 7, 2018Updated 7 years ago
- ☆17Jul 6, 2021Updated 4 years ago
- ☆38Jan 11, 2024Updated 2 years ago
- Code for CVPR'19 paper Linkage-based Face Clustering via GCN☆364Dec 2, 2021Updated 4 years ago
- ☆26May 22, 2023Updated 2 years ago
- Video Face Clustering with Unknown Number of Clusters - Ball Cluster Learning☆98Apr 15, 2020Updated 5 years ago
- Accelerated Training for Massive Classification via Dynamic Class Selection (AAAI 2018, Oral)☆100May 28, 2020Updated 5 years ago
- face recognition training project(pytorch)☆485Nov 12, 2021Updated 4 years ago
- An implementation of EQFace: A Simple Explicit Quality Network for Face Recognition (https://arxiv.org/abs/2105.00634, CVPRW 2021)☆197May 14, 2021Updated 4 years ago
- 1-Click AI Models by DigitalOcean Gradient • AdDeploy popular AI models on DigitalOcean Gradient GPU virtual machines with just a single click and start building anything your business needs.
- Multi-task face recognition framework based on PyTorch☆252Jun 1, 2020Updated 5 years ago
- MagFace: A Universal Representation for Face Recognition and Quality Assessment, CVPR2021, Oral☆690Dec 19, 2023Updated 2 years ago
- Test on MegaFace☆28Oct 13, 2017Updated 8 years ago
- ☆36May 24, 2024Updated last year
- Self-supervised Siamese network (SSiam), FG 2019☆27Apr 21, 2023Updated 2 years ago
- [2020-CVPR]Data Uncertainty Learning in Face Recognition☆166Jul 25, 2024Updated last year
- PyTorch implementation of DUL (Data Uncertainty Learning in Face Recognition, CVPR2020)☆38Dec 14, 2023Updated 2 years ago
- ☆22Jun 15, 2021Updated 4 years ago
- A PyTorch Toolbox for Face Recognition☆1,993Feb 16, 2024Updated 2 years ago
- 1-Click AI Models by DigitalOcean Gradient • AdDeploy popular AI models on DigitalOcean Gradient GPU virtual machines with just a single click and start building anything your business needs.
- Code and information for face image quality assessment with SER-FIQ☆577Dec 9, 2022Updated 3 years ago
- A trusty face analysis research platform developed by Tencent Youtu Lab☆1,505Dec 11, 2025Updated 3 months ago
- This repo is the official released code of SDD-FIQA (CVPR-2021)☆34Jun 4, 2021Updated 4 years ago
- (ICCV 2019) Uncertainty-aware Face Representation and Recognition☆351Aug 8, 2019Updated 6 years ago
- Code and pruned models for our paper: K. Gkrispanis, N. Gkalelis, V. Mezaris, "Filter-Pruning of Lightweight Face Detectors Using a Geome…☆14May 8, 2024Updated last year
- ☆13Mar 27, 2019Updated 6 years ago
- This project aims to add masks to the facial dataset, which is based on FMA-3D and constructs a effective, easy to operate, and efficient…☆18Oct 5, 2023Updated 2 years ago
- Probabilistic Face Embeddings[2019-ICCV]☆23Apr 28, 2020Updated 5 years ago
- ☆907Jul 10, 2024Updated last year
- Managed Database hosting by DigitalOcean • AdPostgreSQL, MySQL, MongoDB, Kafka, Valkey, and OpenSearch available. Automatically scale up storage and focus on building your apps.