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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 / 4,411 papers shown
Title
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
309
609
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
104
108
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
283
830
0
05 Apr 2016
Clustering Millions of Faces by Identity
Clustering Millions of Faces by Identity
C. Otto
Dayong Wang
Anil K. Jain
CVBM
149
176
0
04 Apr 2016
Conditional Similarity Networks
Conditional Similarity Networks
Andreas Veit
Serge J. Belongie
Theofanis Karaletsos
141
8
0
25 Mar 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
258
375
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
238
595
0
22 Mar 2016
Input Aggregated Network for Face Video Representation
Input Aggregated Network for Face Video Representation
Zhen Dong
Su Jia
Fangqiu Yi
Mingtao Pei
CVBM3DH
55
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
202
126
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
162
127
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
293
387
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
177
162
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
142
115
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
76
2
0
08 Mar 2016
PCANet: An energy perspective
PCANet: An energy perspective
Jiasong Wu
Shijie Qiu
Youyong Kong
Longyu Jiang
L. Senhadji
H. Shu
100
19
0
03 Mar 2016
Large age-gap face verification by feature injection in deep networks
Large age-gap face verification by feature injection in deep networks
Luigi Celona
CVBM
127
88
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
Kepeng Xu
Wenxiu Sun
Qiong Yan
161
111
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
190
104
0
12 Feb 2016
Triplet Similarity Embedding for Face Verification
Triplet Similarity Embedding for Face Verification
S. Sankaranarayanan
A. Alavi
Rama Chellappa
3DHCVBM
167
63
0
10 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
194
43
0
04 Feb 2016
Towards the Design of an End-to-End Automated System for Image and
  Video-based Recognition
Towards the Design of an End-to-End Automated System for Image and Video-based Recognition
Rama Chellappa
Jun-Cheng Chen
Rajeev Ranjan
S. Sankaranarayanan
Amit Kumar
Vishal M. Patel
Carlos D. Castillo
3DVCVBM
96
18
0
28 Jan 2016
Deep Perceptual Mapping for Cross-Modal Face Recognition
Deep Perceptual Mapping for Cross-Modal Face Recognition
M. Sarfraz
Rainer Stiefelhagen
CVBM
187
83
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
209
317
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
575
5,643
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
194
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
223
202
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
123
145
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
235
895
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
1.7K
29,639
0
02 Dec 2015
The Multiverse Loss for Robust Transfer Learning
The Multiverse Loss for Robust Transfer Learning
Etai Littwin
Lior Wolf
OOD
182
24
0
29 Nov 2015
Constrained Deep Metric Learning for Person Re-identification
Constrained Deep Metric Learning for Person Re-identification
Hailin Shi
Xiangyu Zhu
Tianran Ouyang
Zhen Lei
Yang Yang
Stan Z. Li
103
39
0
24 Nov 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
479
2,929
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
224
1,706
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
279
1,731
0
19 Nov 2015
Neural network-based clustering using pairwise constraints
Neural network-based clustering using pairwise constraints
Yen-Chang Hsu
Z. Kira
301
85
0
19 Nov 2015
Robust Convolutional Neural Networks under Adversarial Noise
Robust Convolutional Neural Networks under Adversarial Noise
Jonghoon Jin
Aysegül Dündar
Eugenio Culurciello
133
78
0
19 Nov 2015
Learning Deep Structure-Preserving Image-Text Embeddings
Learning Deep Structure-Preserving Image-Text Embeddings
Liwei Wang
Yin Li
Svetlana Lazebnik
360
814
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
154
218
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
380
209
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
465
1,119
0
09 Nov 2015
Confusing Deep Convolution Networks by Relabelling
Confusing Deep Convolution Networks by Relabelling
Leigh Robinson
Benjamin Graham
53
3
0
23 Oct 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
127
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
185
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
657
53
0
11 Sep 2015
Robust Face Recognition via Multimodal Deep Face Representation
Robust Face Recognition via Multimodal Deep Face RepresentationIEEE transactions on multimedia (IEEE TMM), 2015
Changxing Ding
Dacheng Tao
CVBM
177
413
0
01 Sep 2015
What is Holding Back Convnets for Detection?
What is Holding Back Convnets for Detection?German Conference on Pattern Recognition (DAGM), 2015
Bojan Pepik
Rodrigo Benenson
Tobias Ritschel
Bernt Schiele
ObjD
188
65
0
12 Aug 2015
Unconstrained Face Verification using Deep CNN Features
Unconstrained Face Verification using Deep CNN FeaturesIEEE Workshop/Winter Conference on Applications of Computer Vision (WACV), 2015
Jun-Cheng Chen
Vishal M. Patel
Rama Chellappa
CVBM
474
298
0
07 Aug 2015
Face Search at Scale: 80 Million Gallery
Face Search at Scale: 80 Million Gallery
Dayong Wang
C. Otto
Anil K. Jain
PICVCVBM
141
112
0
26 Jul 2015
Learning Robust Deep Face Representation
Learning Robust Deep Face Representation
Xiang Wu
CVBMOOD
85
8
0
17 Jul 2015
Targeting Ultimate Accuracy: Face Recognition via Deep Embedding
Targeting Ultimate Accuracy: Face Recognition via Deep Embedding
Jingtuo Liu
Yafeng Deng
Tao Bai
Zhengping Wei
Chang Huang
CVBM
248
242
0
24 Jun 2015
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