jiangxuehan's repositories
academicpages.github.io
Github Pages template for academic personal websites, forked from mmistakes/minimal-mistakes
Adversarial_MTER
Code for ICCV2019 paper《Adversarial Learning with Margin-based Triplet Embedding Regularization》
awesome-Face_Recognition
papers about Face Detection; Face Alignment; Face Recognition && Face Identification && Face Verification && Face Representation; Face Reconstruction; Face Tracking; Face Super-Resolution && Face Deblurring; Face Generation && Face Synthesis; Face Transfer; Face Anti-Spoofing; Face Retrieval;
Awesome-Knowledge-Distillation
Awesome Knowledge-Distillation. 分类整理的知识蒸馏paper(2014-2020)。
C-MS-Celeb
A clean version (wash list) of MS-Celeb-1M face dataset, containing 6,464,018 face images of 94,682 celebrities
cavaface.pytorch
face recognition project(pytorch)
CurricularFace
CurricularFace(CVPR2020)
deepcluster
Deep Clustering for Unsupervised Learning of Visual Features
deocclusion
Code for our CVPR 2020 work.
dul-pytorch
Data Uncertainty Learning in Face Recognition[CVPR-2020]
DVG
Dual Variational Generation for Low Shot Heterogeneous Face Recognition, NeurIPS 2019
face_recognition_framework
Multi-task face recognition framework based on PyTorch
Grid-GCN
Grid-GCN for Fast and Scalable Point Cloud Learning
light-reid
[ECCV2020] a toolbox of light-reid learning for faster inference, speed up both feature extraction and retrieval stages upto >50x
MagFace
MagFace: A Universal Representation for Face Recognition and Quality Assessment, CVPR2021, Oral
MixBCT
Implementation of MixBCT: Towards Self-Adapting Backward Compatible Training (the other SOTA mathods also be implemented)
mmsr
Open MMLab Image and Video Super-Resolution Toolbox, , including SRResNet, SRGAN, ESRGAN, EDVR, etc.
NAIC_Person_ReID_DMT
This is Top 3 Code for the Person ReID Compitition of NAIC
NAIC_reid_challenge_rank14_rank25
首届全国人工智能大赛，初赛14/466，复赛25/68;
pytorch-metric-learning
The easiest way to use deep metric learning in your application. Modular, flexible, and extensible. Written in PyTorch.
RandPerson
Surpassing Real-World Source Training Data: Random 3D Characters for Generalizable Person Re-Identification
research-xbm
XBM: Cross-Batch Memory for Embedding Learning
Self-Cure-Network
This is a novel and easy method for annotation uncertainties.