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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 / 4,163 papers shown
Title
ASP Vision: Optically Computing the First Layer of Convolutional Neural
  Networks using Angle Sensitive Pixels
ASP Vision: Optically Computing the First Layer of Convolutional Neural Networks using Angle Sensitive Pixels
H. G. Chen
Suren Jayasuriya
Jiyue Yang
J. Stephen
S. Sivaramakrishnan
Ashok Veeraraghavan
A. Molnar
90
66
0
11 May 2016
Deep Attributes Driven Multi-Camera Person Re-identification
Deep Attributes Driven Multi-Camera Person Re-identification
Chi Su
Shiliang Zhang
Junliang Xing
Wen Gao
Q. Tian
CVBM
103
408
0
11 May 2016
Unconstrained Still/Video-Based Face Verification with Deep
  Convolutional Neural Networks
Unconstrained Still/Video-Based Face Verification with Deep Convolutional Neural Networks
Jun-Cheng Chen
Rajeev Ranjan
Swami Sankaranarayanan
Amit Kumar
Ching-Hui Chen
Vishal M. Patel
Carlos D. Castillo
Rama Chellappa
CVBM
96
97
0
09 May 2016
Convolutional Neural Networks for Attribute-based Active Authentication
  on Mobile Devices
Convolutional Neural Networks for Attribute-based Active Authentication on Mobile Devices
Pouya Samangouei
Rama Chellappa
CVBM
49
32
0
29 Apr 2016
Learning Deep Feature Representations with Domain Guided Dropout for
  Person Re-identification
Learning Deep Feature Representations with Domain Guided Dropout for Person Re-identification
Tong Xiao
Hongsheng Li
Wanli Ouyang
Xiaogang Wang
OOD
81
977
0
26 Apr 2016
Multi-Fold Gabor, PCA and ICA Filter Convolution Descriptor for Face
  Recognition
Multi-Fold Gabor, PCA and ICA Filter Convolution Descriptor for Face Recognition
C. Low
Andrew Beng Jin Teoh
C. Ng
CVBM
34
50
0
24 Apr 2016
Convolutional Two-Stream Network Fusion for Video Action Recognition
Convolutional Two-Stream Network Fusion for Video Action Recognition
Christoph Feichtenhofer
A. Pinz
Andrew Zisserman
176
2,612
0
22 Apr 2016
Walk and Learn: Facial Attribute Representation Learning from Egocentric
  Video and Contextual Data
Walk and Learn: Facial Attribute Representation Learning from Egocentric Video and Contextual Data
Jing Wang
Yu Cheng
Rogerio Feris
EgoVCVBM
80
116
0
21 Apr 2016
Triplet Probabilistic Embedding for Face Verification and Clustering
Triplet Probabilistic Embedding for Face Verification and Clustering
S. Sankaranarayanan
A. Alavi
Carlos D. Castillo
Rama Chellappa
CVBM3DH
124
215
0
19 Apr 2016
Joint Unsupervised Learning of Deep Representations and Image Clusters
Joint Unsupervised Learning of Deep Representations and Image Clusters
Jianwei Yang
Devi Parikh
Dhruv Batra
SSL
78
819
0
13 Apr 2016
CNN Image Retrieval Learns from BoW: Unsupervised Fine-Tuning with Hard
  Examples
CNN Image Retrieval Learns from BoW: Unsupervised Fine-Tuning with Hard Examples
Filip Radenovic
Giorgos Tolias
Ondřej Chum
SSL
103
600
0
08 Apr 2016
Families in the Wild (FIW): Large-Scale Kinship Image Database and
  Benchmarks
Families in the Wild (FIW): Large-Scale Kinship Image Database and Benchmarks
Joseph P. Robinson
Ming Shao
Yue Wu
Y. Fu
49
102
0
07 Apr 2016
Deep Image Retrieval: Learning global representations for image search
Deep Image Retrieval: Learning global representations for image search
Albert Gordo
Jon Almazán
Jérôme Revaud
Diane Larlus
80
807
0
05 Apr 2016
Clustering Millions of Faces by Identity
Clustering Millions of Faces by Identity
C. Otto
Dayong Wang
Anil K. Jain
CVBM
77
174
0
04 Apr 2016
Do We Really Need to Collect Millions of Faces for Effective Face
  Recognition?
Do We Really Need to Collect Millions of Faces for Effective Face Recognition?
I. Masi
A. Tran
J. Leksut
Tal Hassner
Gérard Medioni
CVBM
98
365
0
23 Mar 2016
Multi-Scale Convolutional Neural Networks for Time Series Classification
Multi-Scale Convolutional Neural Networks for Time Series Classification
Zhicheng Cui
Wenlin Chen
Yixin Chen
71
565
0
22 Mar 2016
Input Aggregated Network for Face Video Representation
Input Aggregated Network for Face Video Representation
Zhen Dong
Su Jia
Chi Zhang
Mingtao Pei
CVBM3DH
19
1
0
22 Mar 2016
Frankenstein: Learning Deep Face Representations using Small Data
Frankenstein: Learning Deep Face Representations using Small Data
Guosheng Hu
Xiaojiang Peng
Yongxin Yang
Timothy M. Hospedales
Jakob Verbeek
CVBM
144
122
0
21 Mar 2016
A Comprehensive Performance Evaluation of Deformable Face Tracking
  "In-the-Wild"
A Comprehensive Performance Evaluation of Deformable Face Tracking "In-the-Wild"
Grigorios G. Chrysos
Epameinondas Antonakos
Patrick Snape
Akshay Asthana
Stefanos Zafeiriou
CVBM
91
124
0
18 Mar 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
106
374
0
17 Mar 2016
Template Adaptation for Face Verification and Identification
Template Adaptation for Face Verification and Identification
Nate Crosswhite
J. Byrne
Omkar M. Parkhi
C. Stauffer
Qiong Cao
Andrew Zisserman
CVBM
77
160
0
12 Mar 2016
Fast Training of Triplet-based Deep Binary Embedding Networks
Fast Training of Triplet-based Deep Binary Embedding Networks
Bohan Zhuang
Guosheng Lin
Chunhua Shen
Ian Reid
MQ
70
114
0
09 Mar 2016
Biologically inspired model simulating visual pathways and cerebellum
  function in human - Achieving visuomotor coordination and high precision
  movement with learning ability
Biologically inspired model simulating visual pathways and cerebellum function in human - Achieving visuomotor coordination and high precision movement with learning ability
Wei Wu
Hong Qiao
Jiahao Chen
Peijie Yin
Yinlin Li
28
2
0
08 Mar 2016
Large age-gap face verification by feature injection in deep networks
Large age-gap face verification by feature injection in deep networks
Simone Bianco
CVBM
72
87
0
19 Feb 2016
Look, Listen and Learn - A Multimodal LSTM for Speaker Identification
Look, Listen and Learn - A Multimodal LSTM for Speaker Identification
Jimmy S. J. Ren
Yongtao Hu
Yu-Wing Tai
Chuan Wang
Li Xu
Wenxiu Sun
Qiong Yan
79
108
0
13 Feb 2016
Face Attribute Prediction Using Off-the-Shelf CNN Features
Face Attribute Prediction Using Off-the-Shelf CNN Features
Yang Zhong
Josephine Sullivan
Haibo Li
CVBM
99
102
0
12 Feb 2016
Leveraging Mid-Level Deep Representations For Predicting Face Attributes
  in the Wild
Leveraging Mid-Level Deep Representations For Predicting Face Attributes in the Wild
Yang Zhong
Josephine Sullivan
Haibo Li
3DHCVBM
97
43
0
04 Feb 2016
Deep Perceptual Mapping for Cross-Modal Face Recognition
Deep Perceptual Mapping for Cross-Modal Face Recognition
M. Sarfraz
Rainer Stiefelhagen
CVBM
67
82
0
20 Jan 2016
Learning Local Image Descriptors with Deep Siamese and Triplet
  Convolutional Networks by Minimising Global Loss Functions
Learning Local Image Descriptors with Deep Siamese and Triplet Convolutional Networks by Minimising Global Loss Functions
B. V. Kumar
G. Carneiro
Ian Reid
SSL
98
312
0
31 Dec 2015
Recent Advances in Convolutional Neural Networks
Recent Advances in Convolutional Neural Networks
Jiuxiang Gu
Zhenhua Wang
Jason Kuen
Lianyang Ma
Amir Shahroudy
...
Xingxing Wang
Li Wang
Gang Wang
Jianfei Cai
Tsuhan Chen
245
5,253
0
22 Dec 2015
Fine-grained Categorization and Dataset Bootstrapping using Deep Metric
  Learning with Humans in the Loop
Fine-grained Categorization and Dataset Bootstrapping using Deep Metric Learning with Humans in the Loop
Huayu Chen
Feng Zhou
Yuanqing Lin
Serge J. Belongie
90
236
0
16 Dec 2015
Embedding Label Structures for Fine-Grained Feature Representation
Embedding Label Structures for Fine-Grained Feature Representation
Zherong Zhang
Chunyu Lin
Yuanqing Lin
Yao Zhao
91
198
0
09 Dec 2015
Sparsifying Neural Network Connections for Face Recognition
Sparsifying Neural Network Connections for Face Recognition
Yi Sun
Xiaogang Wang
Xiaoou Tang
3DHCVBM
75
141
0
07 Dec 2015
The MegaFace Benchmark: 1 Million Faces for Recognition at Scale
The MegaFace Benchmark: 1 Million Faces for Recognition at Scale
Ira Kemelmacher-Shlizerman
S. M. Seitz
Daniel Miller
Evan Brossard
CVBM
85
863
0
02 Dec 2015
Rethinking the Inception Architecture for Computer Vision
Rethinking the Inception Architecture for Computer Vision
Christian Szegedy
Vincent Vanhoucke
Sergey Ioffe
Jonathon Shlens
Z. Wojna
3DVBDL
888
27,453
0
02 Dec 2015
NetVLAD: CNN architecture for weakly supervised place recognition
NetVLAD: CNN architecture for weakly supervised place recognition
Relja Arandjelović
Petr Gronát
Akihiko Torii
Tomas Pajdla
Josef Sivic
3DVSSL
145
2,655
0
23 Nov 2015
WIDER FACE: A Face Detection Benchmark
WIDER FACE: A Face Detection Benchmark
Shuo Yang
Ping Luo
Chen Change Loy
Xiaoou Tang
CVBM
103
1,595
0
20 Nov 2015
Deep Metric Learning via Lifted Structured Feature Embedding
Deep Metric Learning via Lifted Structured Feature Embedding
Hyun Oh Song
Yu Xiang
Stefanie Jegelka
Silvio Savarese
FedMLSSLDML
104
1,646
0
19 Nov 2015
Neural network-based clustering using pairwise constraints
Neural network-based clustering using pairwise constraints
Yen-Chang Hsu
Z. Kira
86
83
0
19 Nov 2015
Robust Convolutional Neural Networks under Adversarial Noise
Robust Convolutional Neural Networks under Adversarial Noise
Jonghoon Jin
Aysegül Dündar
Eugenio Culurciello
79
77
0
19 Nov 2015
Learning Deep Structure-Preserving Image-Text Embeddings
Learning Deep Structure-Preserving Image-Text Embeddings
Liwei Wang
Yin Li
Svetlana Lazebnik
88
784
0
19 Nov 2015
Metric Learning with Adaptive Density Discrimination
Metric Learning with Adaptive Density Discrimination
Oren Rippel
Manohar Paluri
Piotr Dollar
Lubomir D. Bourdev
84
215
0
18 Nov 2015
Dense Human Body Correspondences Using Convolutional Networks
Dense Human Body Correspondences Using Convolutional Networks
Lingyu Wei
Qi-Xing Huang
Duygu Ceylan
E. Vouga
Hao Li
3DH
176
207
0
18 Nov 2015
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
113
1,075
0
09 Nov 2015
Local Higher-Order Statistics (LHS) describing images with statistics of
  local non-binarized pixel patterns
Local Higher-Order Statistics (LHS) describing images with statistics of local non-binarized pixel patterns
Gaurav Sharma
F. Jurie
42
9
0
02 Oct 2015
Learning Concept Embeddings with Combined Human-Machine Expertise
Learning Concept Embeddings with Combined Human-Machine Expertise
Michael J. Wilber
Iljung S. Kwak
D. Kriegman
Serge J. Belongie
88
39
0
24 Sep 2015
Person Recognition in Personal Photo Collections
Person Recognition in Personal Photo Collections
Seong Joon Oh
Rodrigo Benenson
Mario Fritz
Bernt Schiele
CVBM
432
53
0
11 Sep 2015
Robust Face Recognition via Multimodal Deep Face Representation
Robust Face Recognition via Multimodal Deep Face Representation
Changxing Ding
Dacheng Tao
CVBM
108
401
0
01 Sep 2015
What is Holding Back Convnets for Detection?
What is Holding Back Convnets for Detection?
Bojan Pepik
Rodrigo Benenson
Tobias Ritschel
Bernt Schiele
ObjD
91
65
0
12 Aug 2015
Unconstrained Face Verification using Deep CNN Features
Unconstrained Face Verification using Deep CNN Features
Jun-Cheng Chen
Vishal M. Patel
Rama Chellappa
CVBM
308
295
0
07 Aug 2015
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