人脸相关算法、数据集、文献资源大列表

【导读】@polarisZhao同学将众多人脸相关资源进行了汇总，让你从入门到精通。

github链接：

https://github.com/timzhang642/3D-Machine-Learning

作者：@polarisZhao

【论文/算法】

人脸识别

1. metric learning：

• Deep ID Series

  DeepID1: Deep Learning Face Representation from Predicting 10,000 Classes [Yi Sun et al., 2014]

  DeepID2: Deep Learning Face Representation by Joint Identification-Verification [Yi Sun et al., 2014]

  DeepID2+: Deeply learned face representations are sparse, selective, and robust [Yi Sun et al., 2014]

  DeepIDv3: DeepID3: Face Recognition with Very Deep Neural Networks [Yi Sun et al., 2015]

• FaceNet: [third-party implemention]

  FaceNet: A Unified Embedding for Face Recognition and Clustering [Florian Schroff et al., 2015]

• Deep Face:

  Deep Face Recognition [Omkar M. Parkhi et al., 2015]

2. margin based classification

• Center Loss： [code] A Discriminative Feature Learning Approach for Deep Face Recognition [Yandong Wen et al., 2016]

• Large-Margin Softmax Loss [code] Large-Margin Softmax Loss for Convolutional Neural Networks(L-Softmax loss)[Weiyang Liu al., 2017]

• SphereFace： A-Softmax [code] SphereFace: Deep Hypersphere Embedding for Face Recognition [Weiyang Liu al., 2017]

• NormFace [code]

  NormFace: L2 Hypersphere Embedding for Face Verification [Feng Wang al., 2017]

• COCO Loss: [code]

  Rethinking Feature Discrimination and Polymerization for Large-scale Recognition [Yu Liu al., 2017]

• AM-Softmax [code] AM : Additive Margin Softmax for Face Verification [Feng Wang al., 2018]

• CosFace:

  CosFace: Large Margin Cosine Loss for Deep Face Recognition(Tencent AI Lab) [Hao Wang al., 2018]

• ArcFace: [code]

  ArcFace: Additive Angular Margin Loss for Deep Face Recognition [Jiankang Deng al., 2018]

• CCL：

  Face Recognition via Centralized Coordinate Learning [Xianbiao al., 2018]

3. 3D face recognition

• Deep 3D Face Identification [Donghyun Kim al., 2017]

• Learning from Millions of 3D Scans for Large-scale 3D Face Recognition[Syed Zulqarnain al., 2018]

4. others

• Beyond triplet loss: a deep quadruplet network for person re-identification[Weihua Chen al., 2017]

• Range Loss for Deep Face Recognition with Long-tail [Xiao Zhang al., 2016]

• Feature Incay for Representation Regularization[Yuhui Yuan al., 2017]

人脸检测

• Cascade [code]

  A Convolutional Neural Network Cascade for Face Detection[Haoxiang Li al., 2015]

• MTCNN [code]

  Joint Face Detection and Alignment using Multi-task Cascaded Convolutional Networks[K. Zhang al., 2016]

• Face R-CNN

  Face R-CNN[H. Wang, Z. Li, X. Ji, Y. Wang. et.al 2017]

• SSH [code]

  SSH: Single Stage Headless Face Detector[M. Najibi, al., 2017 ]

• HR [code]

  Finding Tiny Faces [Peiyun Hu,  Deva Ramanan, 2017]

• FaceBoxes code**

  Faceboxes: A CPU Real-time Face Detector with High Accuracy[Zhang, Shifeng al., 2017]

• PyramidBox

  PyramidBox: A Context-assisted Single Shot Face Detector[Xu Tang al., 2018]

人脸对齐

• Look at Boundary: A Boundary-Aware Face Alignment Algorithm[Wayne Wu al., 2018]

• PFLD: A Practical Facial Landmark Detector[Xiaojie Guo al., 2019]

其他

• Exploring Disentangled Feature Representation Beyond Face Identification[Yu Liu al., 2018]

【开源库】

1. face.evoLVe. https://github.com/ZhaoJ9014/face.evoLVe.PyTorch

【数据集】

人脸识别

2D人脸识别

视频人脸识别

3D人脸识别

Anti-Spoofing

跨年龄、跨姿态

人脸检测

人脸特征

其他

【会议/期刊】

会议

computer vision：

ICCV: IEEE International Conference on Computer Vision

CVPR: IEEE Conference on Computer Vision and Pattern Recognition

ECCV: European Conference on Computer Vision

FG: IEEE International Conference on Automatic Face and Gesture Recognition

BMVC: The British Machine Vision Conference

biometrics：

IJCB[ICB+BTAS]:International Joint Conference on Biometrics

ICB: International Conference on Biometrics

BTAS: IEEE International Conference on Biometrics: Theory, Applications and Systems

Workshop

AMFG: IEEE workshop on Analysis and Modeling of Faces and Gestures

CVPR Workshop on Biometrics、

期刊

TPAMI: IEEE Transactions on Pattern Analysis and Machine Intelligence

IJCV: International Journal of Computer Vision

TIP: IEEE Transactions on Image Processing

TIFS: [IEEE Transactions on Information Forensics and Security](IEEE Transactions on Information Forensics and Security)

PR: Pattern Recognition

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