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MS-Celeb-1M: A Dataset and Benchmark for Large-Scale Face Recognition

MS-Celeb-1M: A Dataset and Benchmark for Large-Scale Face Recognition

27 July 2016
Yandong Guo
Lei Zhang
Yuxiao Hu
Xiaodong He
Jianfeng Gao
    CVBM
ArXiv (abs)PDFHTML

Papers citing "MS-Celeb-1M: A Dataset and Benchmark for Large-Scale Face Recognition"

38 / 888 papers shown
Title
Scalable Object Detection for Stylized Objects
Scalable Object Detection for Stylized Objects
Aayush Garg
T. Will
William M. Darling
Willi Richert
Clemens Marschner
ObjD
92
4
0
27 Nov 2017
DeepDeblur: Fast one-step blurry face images restoration
DeepDeblur: Fast one-step blurry face images restoration
Lingxiao Wang
Yali Li
Shengjin Wang
CVBM
77
18
0
27 Nov 2017
Learning Compositional Visual Concepts with Mutual Consistency
Learning Compositional Visual Concepts with Mutual Consistency
Yunye Gong
Srikrishna Karanam
Ziyan Wu
Kuan-Chuan Peng
Jan Ernst
P. Doerschuk
CoGeGAN
144
10
0
16 Nov 2017
Integrated Face Analytics Networks through Cross-Dataset Hybrid Training
Integrated Face Analytics Networks through Cross-Dataset Hybrid Training
Jianshu Li
Shengtao Xiao
Fang Zhao
Jian-jun Zhao
Jianan Li
Jiashi Feng
Shuicheng Yan
Terence Sim
CVBM
157
20
0
16 Nov 2017
Longitudinal Study of Child Face Recognition
Longitudinal Study of Child Face Recognition
Debayan Deb
N. Nain
Anil K. Jain
CVBM
104
66
0
10 Nov 2017
VGGFace2: A dataset for recognising faces across pose and age
VGGFace2: A dataset for recognising faces across pose and ageIEEE International Conference on Automatic Face & Gesture Recognition (FG), 2017
Qiong Cao
Li Shen
Weidi Xie
Omkar M. Parkhi
Andrew Zisserman
CVBM
509
2,880
0
23 Oct 2017
Rethinking Feature Discrimination and Polymerization for Large-scale
  Recognition
Rethinking Feature Discrimination and Polymerization for Large-scale Recognition
Yu Liu
Hongyang Li
Xiaogang Wang
CVBM
178
120
0
02 Oct 2017
When 3D-Aided 2D Face Recognition Meets Deep Learning: An extended UR2D
  for Pose-Invariant Face Recognition
When 3D-Aided 2D Face Recognition Meets Deep Learning: An extended UR2D for Pose-Invariant Face Recognition
Xiang Xu
Pengfei Dou
Ha A. Le
I. Kakadiaris
CVBM
164
2
0
19 Sep 2017
Adversarial Discriminative Heterogeneous Face Recognition
Adversarial Discriminative Heterogeneous Face Recognition
Lingxiao Song
Man Zhang
Xiang Wu
Ran He
CVBM
207
96
0
12 Sep 2017
Anti-Makeup: Learning A Bi-Level Adversarial Network for
  Makeup-Invariant Face Verification
Anti-Makeup: Learning A Bi-Level Adversarial Network for Makeup-Invariant Face Verification
Yi Li
Lingxiao Song
Xiang Wu
Ran He
Tieniu Tan
CVBMGAN
141
50
0
12 Sep 2017
Improving precision and recall of face recognition in SIPP with
  combination of modified mean search and LSH
Improving precision and recall of face recognition in SIPP with combination of modified mean search and LSH
Xihua Li
CVBM
68
0
0
09 Sep 2017
How to Train Triplet Networks with 100K Identities?
How to Train Triplet Networks with 100K Identities?
Chong-Jun Wang
Xue Zhang
Xipeng Lan
CVBM
120
53
0
09 Sep 2017
Model Distillation with Knowledge Transfer from Face Classification to
  Alignment and Verification
Model Distillation with Knowledge Transfer from Face Classification to Alignment and Verification
Chong-Jun Wang
Xipeng Lan
Yang Zhang
CVBM
141
26
0
09 Sep 2017
Quantifying Facial Age by Posterior of Age Comparisons
Quantifying Facial Age by Posterior of Age Comparisons
Yunxuan Zhang
Li Liu
Cheng Li
Chen Change Loy
CVBM
106
81
0
31 Aug 2017
Wasserstein CNN: Learning Invariant Features for NIR-VIS Face
  Recognition
Wasserstein CNN: Learning Invariant Features for NIR-VIS Face RecognitionIEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2017
Ran He
Xiang Wu
Zhenan Sun
Tieniu Tan
CVBM
194
288
0
08 Aug 2017
Enhancing Convolutional Neural Networks for Face Recognition with
  Occlusion Maps and Batch Triplet Loss
Enhancing Convolutional Neural Networks for Face Recognition with Occlusion Maps and Batch Triplet Loss
Daniel Saez-Trigueros
Lily Meng
Margaret Hartnett
3DHCVBM
250
68
0
25 Jul 2017
The iNaturalist Species Classification and Detection Dataset
The iNaturalist Species Classification and Detection Dataset
Grant Van Horn
Oisin Mac Aodha
Yang Song
Huayu Chen
Chen Sun
Alexander Shepard
Hartwig Adam
Pietro Perona
Serge J. Belongie
189
82
0
20 Jul 2017
One-shot Face Recognition by Promoting Underrepresented Classes
One-shot Face Recognition by Promoting Underrepresented Classes
Yandong Guo
Lei Zhang
CVBM
147
107
0
18 Jul 2017
Merge or Not? Learning to Group Faces via Imitation Learning
Merge or Not? Learning to Group Faces via Imitation Learning
Yue He
Kaidi Cao
Cheng Li
Chen Change Loy
CVBMFedML
122
15
0
13 Jul 2017
von Mises-Fisher Mixture Model-based Deep learning: Application to Face
  Verification
von Mises-Fisher Mixture Model-based Deep learning: Application to Face Verification
Abul Hasnat
Julien Bohné
Jonathan Milgram
S. Gentric
Liming Chen
CVBM
198
98
0
13 Jun 2017
Multi-Level Variational Autoencoder: Learning Disentangled
  Representations from Grouped Observations
Multi-Level Variational Autoencoder: Learning Disentangled Representations from Grouped Observations
Diane Bouchacourt
Ryota Tomioka
Sebastian Nowozin
BDLOODDRL
253
325
0
24 May 2017
Semantically Decomposing the Latent Spaces of Generative Adversarial
  Networks
Semantically Decomposing the Latent Spaces of Generative Adversarial Networks
Chris Donahue
Zachary Chase Lipton
Akshay Balsubramani
Julian McAuley
GAN
213
121
0
22 May 2017
The Do's and Don'ts for CNN-based Face Verification
The Do's and Don'ts for CNN-based Face Verification
Ankan Bansal
Carlos D. Castillo
Rajeev Ranjan
Rama Chellappa
CVBM
160
98
0
21 May 2017
Beyond Face Rotation: Global and Local Perception GAN for Photorealistic
  and Identity Preserving Frontal View Synthesis
Beyond Face Rotation: Global and Local Perception GAN for Photorealistic and Identity Preserving Frontal View Synthesis
Rui Huang
Shu Zhang
Tianyu Li
Ran He
GANCVBM
168
656
0
13 Apr 2017
Coupled Deep Learning for Heterogeneous Face Recognition
Coupled Deep Learning for Heterogeneous Face Recognition
Xiang Wu
Lingxiao Song
Ran He
Tieniu Tan
CVBM
289
104
0
08 Apr 2017
One Network to Solve Them All --- Solving Linear Inverse Problems using
  Deep Projection Models
One Network to Solve Them All --- Solving Linear Inverse Problems using Deep Projection Models
Jen-Hao Rick Chang
Chun-Liang Li
Barnabás Póczós
B. Kumar
Aswin C. Sankaranarayanan
143
353
0
29 Mar 2017
L2-constrained Softmax Loss for Discriminative Face Verification
L2-constrained Softmax Loss for Discriminative Face Verification
Rajeev Ranjan
Carlos D. Castillo
Rama Chellappa
CVBM
201
472
0
28 Mar 2017
DeepVisage: Making face recognition simple yet with powerful
  generalization skills
DeepVisage: Making face recognition simple yet with powerful generalization skills
A. Hasnat
Julien Bohné
Jonathan Milgram
S. Gentric
Liming Chen
CVBM
178
47
0
24 Mar 2017
A Proximity-Aware Hierarchical Clustering of Faces
A Proximity-Aware Hierarchical Clustering of Faces
Wei-An Lin
Jun-Cheng Chen
Rama Chellappa
CVBM
154
52
0
14 Mar 2017
Learning Deep Features via Congenerous Cosine Loss for Person
  Recognition
Learning Deep Features via Congenerous Cosine Loss for Person Recognition
Yu Liu
Hongyang Li
Xiaogang Wang
CVBM
155
51
0
22 Feb 2017
Range Loss for Deep Face Recognition with Long-tail
Range Loss for Deep Face Recognition with Long-tail
Xiao Zhang
Zhiyuan Fang
Yandong Wen
Zhifeng Li
Yu Qiao
CVBM
480
464
0
28 Nov 2016
Automatically Building Face Datasets of New Domains from Weakly Labeled
  Data with Pretrained Models
Automatically Building Face Datasets of New Domains from Weakly Labeled Data with Pretrained Models
Shengyong Ding
Junyu Wu
Wenyuan Xu
Hongyang Chao
CVBM
61
4
0
24 Nov 2016
DeMeshNet: Blind Face Inpainting for Deep MeshFace Verification
DeMeshNet: Blind Face Inpainting for Deep MeshFace Verification
Shu Zhang
Ran He
Tieniu Tan
CVBM3DH
135
74
0
16 Nov 2016
The Shallow End: Empowering Shallower Deep-Convolutional Networks
  through Auxiliary Outputs
The Shallow End: Empowering Shallower Deep-Convolutional Networks through Auxiliary Outputs
Yong Guo
Jian Chen
Qingyao Wu
Anton Van Den Hengel
Javen Qinfeng Shi
Zhuliang Yu
255
13
0
06 Nov 2016
UMDFaces: An Annotated Face Dataset for Training Deep Networks
UMDFaces: An Annotated Face Dataset for Training Deep Networks
Ankan Bansal
Anirudh Nanduri
Carlos D. Castillo
Rajeev Ranjan
Rama Chellappa
CVBM3DH
175
226
0
04 Nov 2016
Do They All Look the Same? Deciphering Chinese, Japanese and Koreans by
  Fine-Grained Deep Learning
Do They All Look the Same? Deciphering Chinese, Japanese and Koreans by Fine-Grained Deep LearningConference on Multimedia Information Processing and Retrieval (MIPR), 2016
Yu Wang
Haofu Liao
Yang Feng
Xiangyang Xu
Jiebo Luo
CVBM
238
26
0
06 Oct 2016
Neural Aggregation Network for Video Face Recognition
Neural Aggregation Network for Video Face Recognition
Jiaolong Yang
Peiran Ren
Dongqing Zhang
Dong Chen
Fang Wen
Hongdong Li
G. Hua
CVBM3DH
293
387
0
17 Mar 2016
A Light CNN for Deep Face Representation with Noisy Labels
A Light CNN for Deep Face Representation with Noisy Labels
Xiang Wu
Ran He
Zhenan Sun
Tieniu Tan
CVBM
465
1,119
0
09 Nov 2015
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