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FaceNet: A Unified Embedding for Face Recognition and Clustering
v1v2v3 (latest)

FaceNet: A Unified Embedding for Face Recognition and Clustering

12 March 2015
Florian Schroff
Dmitry Kalenichenko
James Philbin
    3DH
ArXiv (abs)PDFHTML

Papers citing "FaceNet: A Unified Embedding for Face Recognition and Clustering"

50 / 4,169 papers shown
Title
A Sketch Based 3D Shape Retrieval Approach Based on Efficient Deep Point-to-Subspace Metric Learning
Yinjie Lei
Ziqin Zhou
Pingping Zhang
Yulan Guo
Zijun Ma
Lingqiao Liu
3DPC3DV
44
1
0
01 Mar 2019
Large-Scale Object Mining for Object Discovery from Unlabeled Video
Large-Scale Object Mining for Object Discovery from Unlabeled Video
Aljosa Osep
P. Voigtlaender
Jonathon Luiten
Stefan Breuers
Bastian Leibe
136
24
0
28 Feb 2019
FaceLiveNet+: A Holistic Networks For Face Authentication Based On
  Dynamic Multi-task Convolutional Neural Networks
FaceLiveNet+: A Holistic Networks For Face Authentication Based On Dynamic Multi-task Convolutional Neural Networks
Zuheng Ming
J. Xia
M. Luqman
J. Burie
Kai Zhao
CVBM
25
2
0
28 Feb 2019
MassFace: an efficient implementation using triplet loss for face
  recognition
MassFace: an efficient implementation using triplet loss for face recognition
Yule Li
CVBM
19
1
0
28 Feb 2019
End-to-End Efficient Representation Learning via Cascading Combinatorial
  Optimization
End-to-End Efficient Representation Learning via Cascading Combinatorial Optimization
Yeonwoo Jeong
Yoonsung Kim
Hyun Oh Song
27
1
0
28 Feb 2019
Robust Re-identification of Manta Rays from Natural Markings by Learning
  Pose Invariant Embeddings
Robust Re-identification of Manta Rays from Natural Markings by Learning Pose Invariant Embeddings
Olga Moskvyak
Frederic Maire
A. Armstrong
Feras Dayoub
Mahsa Baktash
66
38
0
28 Feb 2019
The Importance of Metric Learning for Robotic Vision: Open Set
  Recognition and Active Learning
The Importance of Metric Learning for Robotic Vision: Open Set Recognition and Active Learning
Benjamin J. Meyer
Tom Drummond
47
33
0
27 Feb 2019
BoostGAN for Occlusive Profile Face Frontalization and Recognition
BoostGAN for Occlusive Profile Face Frontalization and Recognition
Qingyan Duan
Lei Zhang
CVBM
29
7
0
26 Feb 2019
Short-term Road Traffic Prediction based on Deep Cluster at Large-scale
  Networks
Short-term Road Traffic Prediction based on Deep Cluster at Large-scale Networks
Lingyi Han
K. Zheng
Long Zhao
Xianbin Wang
Xuemin Shen
AI4TSGNN
25
3
0
25 Feb 2019
A Deep, Information-theoretic Framework for Robust Biometric Recognition
A Deep, Information-theoretic Framework for Robust Biometric Recognition
Renjie Xie
Yanzhi Chen
Yan Wo
Qiao Wang
OODAAML
35
1
0
23 Feb 2019
Learning about an exponential amount of conditional distributions
Learning about an exponential amount of conditional distributions
Mohamed Ishmael Belghazi
Maxime Oquab
Yann LeCun
David Lopez-Paz
BDLSSL
68
28
0
22 Feb 2019
Similarity Learning Networks for Animal Individual Re-Identification --
  Beyond the Capabilities of a Human Observer
Similarity Learning Networks for Animal Individual Re-Identification -- Beyond the Capabilities of a Human Observer
Stefan Schneider
Graham W. Taylor
Stefan S. Linquist
Stefan C. Kremer
51
64
0
21 Feb 2019
Towards Visually Grounded Sub-Word Speech Unit Discovery
Towards Visually Grounded Sub-Word Speech Unit Discovery
David Harwath
James R. Glass
68
35
0
21 Feb 2019
ComplexFace: a Multi-Representation Approach for Image Classification
  with Small Dataset
ComplexFace: a Multi-Representation Approach for Image Classification with Small Dataset
Guiying Zhang
Yuxin Cui
Yong Zhao
Jianjun Hu
CVBM
44
0
0
21 Feb 2019
Video Face Recognition: Component-wise Feature Aggregation Network
  (C-FAN)
Video Face Recognition: Component-wise Feature Aggregation Network (C-FAN)
Sixue Gong
Yichun Shi
Anil K. Jain
CVBM
104
47
0
19 Feb 2019
Multi-view Incremental Segmentation of 3D Point Clouds for Mobile Robots
Multi-view Incremental Segmentation of 3D Point Clouds for Mobile Robots
Jingdao Chen
Y. Cho
Z. Kira
3DPC
102
22
0
18 Feb 2019
Periocular Recognition in the Wild with Orthogonal Combination of Local
  Binary Coded Pattern in Dual-stream Convolutional Neural Network
Periocular Recognition in the Wild with Orthogonal Combination of Local Binary Coded Pattern in Dual-stream Convolutional Neural Network
Leslie Ching Ow Tiong
Andrew Beng Jin Teoh
Yunli Lee
13
17
0
18 Feb 2019
Single-shot Channel Pruning Based on Alternating Direction Method of
  Multipliers
Single-shot Channel Pruning Based on Alternating Direction Method of Multipliers
Chengcheng Li
Zehao Wang
Xiangyang Wang
Hairong Qi
38
5
0
18 Feb 2019
Exploiting Unlabeled Data in CNNs by Self-supervised Learning to Rank
Exploiting Unlabeled Data in CNNs by Self-supervised Learning to Rank
Xialei Liu
Joost van de Weijer
Andrew D. Bagdanov
SSL
68
176
0
17 Feb 2019
GANFIT: Generative Adversarial Network Fitting for High Fidelity 3D Face
  Reconstruction
GANFIT: Generative Adversarial Network Fitting for High Fidelity 3D Face Reconstruction
Baris Gecer
Stylianos Ploumpis
I. Kotsia
Stefanos Zafeiriou
3DHCVBM
93
345
0
15 Feb 2019
Enhancing Remote Sensing Image Retrieval with Triplet Deep Metric
  Learning Network
Enhancing Remote Sensing Image Retrieval with Triplet Deep Metric Learning Network
Rui Cao
Qian Zhang
Jiasong Zhu
Qing Li
Qingquan Li
Bozhi Liu
Guoping Qiu
69
85
0
15 Feb 2019
Network Offloading Policies for Cloud Robotics: a Learning-based
  Approach
Network Offloading Policies for Cloud Robotics: a Learning-based Approach
Sandeep P. Chinchali
Apoorva Sharma
James Harrison
Amine Elhafsi
Daniel Kang
Evgenya Pergament
Eyal Cidon
Sachin Katti
Marco Pavone
OffRL
66
107
0
15 Feb 2019
MultiGrain: a unified image embedding for classes and instances
MultiGrain: a unified image embedding for classes and instances
Maxim Berman
Hervé Jégou
Andrea Vedaldi
Iasonas Kokkinos
Matthijs Douze
75
111
0
14 Feb 2019
Graph-RISE: Graph-Regularized Image Semantic Embedding
Graph-RISE: Graph-Regularized Image Semantic Embedding
Da-Cheng Juan
Chun-Ta Lu
Zerui Li
Futang Peng
Aleksei Timofeev
Yi-Ting Chen
Yaxi Gao
Tom Duerig
Andrew Tomkins
Sujith Ravi
83
40
0
14 Feb 2019
Multi-views Embedding for Cattle Re-identification
Multi-views Embedding for Cattle Re-identification
Luca Bergamini
Angelo Porrello
A. C. Dondona
Ercole Del Negro
M. Mattioli
N. D’Alterio
Simone Calderara
57
31
0
13 Feb 2019
Multi-Prototype Networks for Unconstrained Set-based Face Recognition
Multi-Prototype Networks for Unconstrained Set-based Face Recognition
Jian-jun Zhao
Jianshu Li
X. Tu
Fang Zhao
Yuan Xin
Junliang Xing
Hengzhu Liu
Shuicheng Yan
Jiashi Feng
CVBM
94
50
0
13 Feb 2019
Infinite Mixture Prototypes for Few-Shot Learning
Infinite Mixture Prototypes for Few-Shot Learning
Kelsey R. Allen
Evan Shelhamer
Hanul Shin
J. Tenenbaum
71
249
0
12 Feb 2019
Deep Hashing using Entropy Regularised Product Quantisation Network
Deep Hashing using Entropy Regularised Product Quantisation Network
Jo Schlemper
Jose Caballero
Andrew P. Aitken
Joost R. van Amersfoort
106
1
0
11 Feb 2019
Deep learning and face recognition: the state of the art
Deep learning and face recognition: the state of the art
Stephen Balaban
CVBM3DH
66
107
0
10 Feb 2019
Unsupervised Data Uncertainty Learning in Visual Retrieval Systems
Unsupervised Data Uncertainty Learning in Visual Retrieval Systems
Ahmed Taha
Yi-Ting Chen
Teruhisa Misu
Abhinav Shrivastava
L. Davis
59
17
0
07 Feb 2019
End-to-end losses based on speaker basis vectors and all-speaker hard
  negative mining for speaker verification
End-to-end losses based on speaker basis vectors and all-speaker hard negative mining for speaker verification
Hee-Soo Heo
Jee-weon Jung
Il-Ho Yang
Sung-Hyun Yoon
Hye-jin Shim
Ha-Jin Yu
85
22
0
07 Feb 2019
Centroid-based deep metric learning for speaker recognition
Centroid-based deep metric learning for speaker recognition
Jixuan Wang
Kuan-Chieh Wang
M. Law
Frank Rudzicz
M. Brudno
SSL
67
103
0
06 Feb 2019
Progressive Generative Adversarial Networks for Medical Image Super
  resolution
Progressive Generative Adversarial Networks for Medical Image Super resolution
Dwarikanath Mahapatra
Behzad Bozorgtabar
GANMedIm
58
28
0
06 Feb 2019
Daedalus: Breaking Non-Maximum Suppression in Object Detection via
  Adversarial Examples
Daedalus: Breaking Non-Maximum Suppression in Object Detection via Adversarial Examples
Derui Wang
Chaoran Li
S. Wen
Qing-Long Han
Surya Nepal
Xiangyu Zhang
Yang Xiang
AAML
75
41
0
06 Feb 2019
Domain invariant hierarchical embedding for grocery products recognition
Domain invariant hierarchical embedding for grocery products recognition
A. Tonioni
Luigi Di Stefano
BDL
117
33
0
02 Feb 2019
A Multi-Resolution Word Embedding for Document Retrieval from Large
  Unstructured Knowledge Bases
A Multi-Resolution Word Embedding for Document Retrieval from Large Unstructured Knowledge Bases
Tolgahan Cakaloglu
Xiaowei Xu
RALM
110
5
0
02 Feb 2019
Learning icons appearance similarity
Learning icons appearance similarity
Manuel Lagunas
Elena Garces
Diego F. F. Gutierrez
66
17
0
01 Feb 2019
SensitiveNets: Learning Agnostic Representations with Application to
  Face Images
SensitiveNets: Learning Agnostic Representations with Application to Face Images
Aythami Morales
Julian Fierrez
R. Vera-Rodríguez
Ruben Tolosana
CVBM
118
42
0
01 Feb 2019
Compressing Gradient Optimizers via Count-Sketches
Compressing Gradient Optimizers via Count-Sketches
Ryan Spring
Anastasios Kyrillidis
Vijai Mohan
Anshumali Shrivastava
58
36
0
01 Feb 2019
Learning to Make Analogies by Contrasting Abstract Relational Structure
Learning to Make Analogies by Contrasting Abstract Relational Structure
Felix Hill
Adam Santoro
David Barrett
Ari S. Morcos
Timothy Lillicrap
NAI
71
100
0
31 Jan 2019
Optimization of the Area Under the ROC Curve using Neural Network
  Supervectors for Text-Dependent Speaker Verification
Optimization of the Area Under the ROC Curve using Neural Network Supervectors for Text-Dependent Speaker Verification
Victoria Mingote
A. Miguel
Alfonso Ortega
EDUARDO LLEIDA SOLANO
48
32
0
31 Jan 2019
On Intra-Class Variance for Deep Learning of Classifiers
On Intra-Class Variance for Deep Learning of Classifiers
Rafal Pilarczyk
W. Skarbek
28
11
0
31 Jan 2019
Unsupervised Scalable Representation Learning for Multivariate Time
  Series
Unsupervised Scalable Representation Learning for Multivariate Time Series
Jean-Yves Franceschi
Hadrien Hendrikx
Martin Jaggi
SSLAI4TS
84
463
0
30 Jan 2019
Implicit Diversity in Image Summarization
Implicit Diversity in Image Summarization
L. E. Celis
Vijay Keswani
110
35
0
29 Jan 2019
Learning for Multi-Model and Multi-Type Fitting
Learning for Multi-Model and Multi-Type Fitting
Xun Xu
L. Cheong
Zhuwen Li
53
5
0
29 Jan 2019
Learning to Validate the Quality of Detected Landmarks
Learning to Validate the Quality of Detected Landmarks
Wolfgang Fuhl
Enkelejda Kasneci
68
19
0
29 Jan 2019
A Framework for Deep Constrained Clustering -- Algorithms and Advances
A Framework for Deep Constrained Clustering -- Algorithms and Advances
Hongjing Zhang
Sugato Basu
Ian Davidson
82
47
0
29 Jan 2019
Do Not Return Similarity: Face Recovery with Distance
Do Not Return Similarity: Face Recovery with Distance
Mingtian Tan
Zhe Zhou
CVBM
18
0
0
28 Jan 2019
Revisiting Self-Supervised Visual Representation Learning
Revisiting Self-Supervised Visual Representation Learning
Alexander Kolesnikov
Xiaohua Zhai
Lucas Beyer
SSL
208
718
0
25 Jan 2019
Boosting Standard Classification Architectures Through a Ranking
  Regularizer
Boosting Standard Classification Architectures Through a Ranking Regularizer
Ahmed Taha
Yi-Ting Chen
Teruhisa Misu
Abhinav Shrivastava
L. Davis
61
17
0
24 Jan 2019
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