dituu / Semi-Siamese-Training
"Semi-Siamese Training for Shallow Face Learning"
☆39Updated 3 years ago
Related projects ⓘ
Alternatives and complementary repositories for Semi-Siamese-Training
- Improving Face Recognition from Hard Samplesvia Distribution Distillation Loss☆46Updated 3 years ago
- Loss Function Search for Face Recognition☆40Updated 3 years ago
- ☆24Updated last year
- Official code for fast face classification☆90Updated 2 years ago
- An implementation of Support Vector Guided Softmax Loss for Face Recognition☆22Updated 5 years ago
- https://arxiv.org/abs/2005.10497☆73Updated 4 years ago
- ☆35Updated 3 years ago
- The implementation of the CVPR2021 paper "Structure-Aware Face Clustering on a Large-Scale Graph with 10^7 Nodes"☆100Updated last year
- fast probability face embeddings☆40Updated 2 years ago
- ☆35Updated 6 years ago
- Face Detection Based on Detectron2☆58Updated 4 years ago
- Code for CVPR2019 paper《Unequal Training for Deep Face Recognition with Long Tailed Noisy Data》☆67Updated 5 years ago
- ☆24Updated 5 years ago
- ☆35Updated 2 years ago
- our code☆33Updated 3 years ago
- This repo is the official released code of SDD-FIQA (CVPR-2021)☆33Updated 3 years ago
- Implement of LTNet in "Facial expression recognition with inconsistent datasets", ECCV 2018☆46Updated 5 years ago
- ☆23Updated 3 years ago
- Explainable Face Recognition ECCV 2020 Paper code and dataset repository☆61Updated 3 years ago
- ☆19Updated 7 months ago
- Learning Compatible Embeddings, ICCV 2021☆30Updated 3 years ago
- A Simple Tool to Evaluate Your Models on Megaface Benchmark Implemented in Python and Mxnet☆40Updated 5 years ago
- ☆23Updated 5 years ago
- This is a PyTorch implementation of "VirFace: Enhancing Face Recognition via Unlabeled Shallow Data" (CVPR 2021).☆22Updated 2 years ago
- Facial landmarks detection☆17Updated 3 years ago
- official github for paper "CELEB-500K: A LARGE TRAINING DATASET FOR FACE RECOGNITION"☆86Updated 5 years ago
- Spherical Confidence Learning for Face Recognition, accepted to CVPR2021 (Oral).☆78Updated 3 years ago
- ☆185Updated 3 years ago