人脸方向相关论文汇总

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地址：https://github.com/polarisZhao/awesome-face

Paper / Algorithm

Face Recognition

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]

• NormFace [code]

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

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

• SphereFace [code]
  SphereFace: Deep Hypersphere Embedding for Face Recognition [Weiyang 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]

• COCO Loss: [code]

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

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]

Face Detection

• 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 Alignment

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

Others

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