awesome deep learning papers for face recognition
awesome deep learning papers for face recognition
DeepFace: Closing the Gap to Human-Level Performance in Face Verification [Yaniv Taigman et al., 2014]
Web-Scale Training for Face Identification [Yaniv Taigman et al., 2015]
Deep Learning Face Representation from Predicting 10,000 Classes [Yi Sun et al., 2014]
Deep Learning Face Representation by Joint Identification-Verification [Yi Sun et al., 2014]
Deeply learned face representations are sparse, selective, and robust [Yi Sun et al., 2014]
DeepID3: Face Recognition with Very Deep Neural Networks [Yi Sun et al., 2015]
Learning Face Representation from Scratch [Dong Yi et al., 2014]
A Lightened CNN for Deep Face Representation [[Xiang Wu et al., 2015]
A Light CNN for Deep Face Representation with Noisy Labels [Xiang Wu et al., 2017]
DSD: Dense-Sparse-Dense Training for Deep Neural Networks [Song Han et al., 2017]
Pruning Convolutional Neural Networks for Resource Efficient Transfer Learning [Pavlo Molchanov et al., 2017]
Learning both Weights and Connections for Efficient Neural Networks [Song Han et al., 2016]
Beyond triplet loss: a deep quadruplet network for person re-identification [Weihua Chen et al., 2017]
Range Loss for Deep Face Recognition with Long-tail [Xiao Zhang et al., 2016]
Bayesian Face Revisited: A Joint Formulation [Dong Chen et al., 2012]
A Practical Transfer Learning Algorithm for Face Verification [Xudong Cao et al., 2013]
MegaFace: A Million Faces for Recognition at Scale [D. Miller et al., 2016]
The MegaFace Benchmark: 1 Million Faces for Recognition at Scale [Ira Kemelmacher-Shlizerman et al., 2016]
Large-Margin Softmax Loss for Convolutional Neural Networks(L-Softmax loss) [Weiyang Liu al., 2017] code
SphereFace: Deep Hypersphere Embedding for Face Recognition [Weiyang Liu al., 2017] code
AM : Additive Margin Softmax for Face Verification [Feng Wang al., 2018] code
CCL : Face Recognition via Centralized Coordinate Learning [Xianbiao al., 2018]
CosFace: Large Margin Cosine Loss for Deep Face Recognition(Tencent AI Lab) [Hao Wang al., 2018]
AAM : ArcFace: ArcFace: Additive Angular Margin Loss for Deep Face Recognition [Jiankang Deng al., 2018] code
MobileFaceNets: Efficient CNNs for Accurate Real-Time Face Verification on Mobile Devices [Sheng Chen al., 2018] code
Deep 3D Face Identification [Donghyun Kim al., 2017]
Learning from Millions of 3D Scans for Large-scale 3D Face Recognition [S. Z. Gilani al.,2018]