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Probabilistic Face Embeddings

Probabilistic Face Embeddings

21 April 2019
Yichun Shi
Anil K. Jain
    CVBM
ArXivPDFHTML

Papers citing "Probabilistic Face Embeddings"

16 / 66 papers shown
Title
Learning Probabilistic Ordinal Embeddings for Uncertainty-Aware
  Regression
Learning Probabilistic Ordinal Embeddings for Uncertainty-Aware Regression
Wanhua Li
Xiaoke Huang
Jiwen Lu
Jianjiang Feng
Jie Zhou
UQCV
34
62
0
25 Mar 2021
SDD-FIQA: Unsupervised Face Image Quality Assessment with Similarity
  Distribution Distance
SDD-FIQA: Unsupervised Face Image Quality Assessment with Similarity Distribution Distance
Fu-Zhao Ou
Xingyu Chen
Ruixin Zhang
Y. Huang
Shaoxin Li
Jilin Li
Yong Li
Liujuan Cao
Yuan-Gen Wang
CVBM
34
99
0
10 Mar 2021
WebFace260M: A Benchmark Unveiling the Power of Million-Scale Deep Face
  Recognition
WebFace260M: A Benchmark Unveiling the Power of Million-Scale Deep Face Recognition
Zheng Zhu
Guan Huang
Jiankang Deng
Yun Ye
Junjie Huang
...
Jiagang Zhu
Tian Yang
Jiwen Lu
Dalong Du
Jie Zhou
CVBM
35
249
0
06 Mar 2021
RCoNet: Deformable Mutual Information Maximization and High-order
  Uncertainty-aware Learning for Robust COVID-19 Detection
RCoNet: Deformable Mutual Information Maximization and High-order Uncertainty-aware Learning for Robust COVID-19 Detection
Shunjie Dong
Qianqian Yang
Yu Fu
Mei Tian
Cheng Zhuo
OOD
25
42
0
22 Feb 2021
Probabilistic Embeddings for Cross-Modal Retrieval
Probabilistic Embeddings for Cross-Modal Retrieval
Sanghyuk Chun
Seong Joon Oh
Rafael Sampaio de Rezende
Yannis Kalantidis
Diane Larlus
UQCV
415
203
0
13 Jan 2021
Bayesian Triplet Loss: Uncertainty Quantification in Image Retrieval
Bayesian Triplet Loss: Uncertainty Quantification in Image Retrieval
Frederik Warburg
Martin Jørgensen
Javier Civera
Søren Hauberg
UQCV
31
36
0
25 Nov 2020
The Elements of End-to-end Deep Face Recognition: A Survey of Recent
  Advances
The Elements of End-to-end Deep Face Recognition: A Survey of Recent Advances
Hang Du
Hailin Shi
Dan Zeng
Xiaoping Zhang
Tao Mei
OOD
33
118
0
28 Sep 2020
Deep Momentum Uncertainty Hashing
Deep Momentum Uncertainty Hashing
Chaoyou Fu
Guoli Wang
Xiang Wu
Qian Zhang
Ran He
30
13
0
17 Sep 2020
Face Image Quality Assessment: A Literature Survey
Face Image Quality Assessment: A Literature Survey
Torsten Schlett
Christian Rathgeb
O. Henniger
Javier Galbally
Julian Fierrez
Christoph Busch
CVBM
19
128
0
02 Sep 2020
Prime-Aware Adaptive Distillation
Prime-Aware Adaptive Distillation
Youcai Zhang
Zhonghao Lan
Yuchen Dai
Fangao Zeng
Yan Bai
Jie Chang
Yichen Wei
18
40
0
04 Aug 2020
Regularizing Deep Networks with Semantic Data Augmentation
Regularizing Deep Networks with Semantic Data Augmentation
Yulin Wang
Gao Huang
Shiji Song
Xuran Pan
Yitong Xia
Cheng Wu
19
155
0
21 Jul 2020
Boosting Unconstrained Face Recognition with Auxiliary Unlabeled Data
Boosting Unconstrained Face Recognition with Auxiliary Unlabeled Data
Yichun Shi
Anil K. Jain
CVBM
48
1
0
17 Mar 2020
Towards Universal Representation Learning for Deep Face Recognition
Towards Universal Representation Learning for Deep Face Recognition
Yichun Shi
Xiang Yu
Kihyuk Sohn
Manmohan Chandraker
Anil K. Jain
CVBM
OOD
17
148
0
26 Feb 2020
How Does Gender Balance In Training Data Affect Face Recognition
  Accuracy?
How Does Gender Balance In Training Data Affect Face Recognition Accuracy?
Vítor Albiero
Kai Zhang
Kevin W. Bowyer
CVBM
FaML
17
62
0
07 Feb 2020
Dropout as a Bayesian Approximation: Representing Model Uncertainty in
  Deep Learning
Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning
Y. Gal
Zoubin Ghahramani
UQCV
BDL
287
9,156
0
06 Jun 2015
Deeply learned face representations are sparse, selective, and robust
Deeply learned face representations are sparse, selective, and robust
Yi Sun
Xiaogang Wang
Xiaoou Tang
CVBM
252
921
0
03 Dec 2014
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