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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 / 4,420 papers shown
An All-In-One Convolutional Neural Network for Face Analysis
An All-In-One Convolutional Neural Network for Face Analysis
Rajeev Ranjan
S. Sankaranarayanan
Carlos D. Castillo
Rama Chellappa
CVBM
326
445
0
03 Nov 2016
Learning Deep Embeddings with Histogram Loss
Learning Deep Embeddings with Histogram Loss
E. Ustinova
Victor Lempitsky
222
359
0
02 Nov 2016
Embedding Deep Metric for Person Re-identication A Study Against Large
  Variations
Embedding Deep Metric for Person Re-identication A Study Against Large Variations
Hailin Shi
Yang Yang
Xiangyu Zhu
Tianran Ouyang
Zhen Lei
Weishi Zheng
Stan Z. Li
171
313
0
01 Nov 2016
Accurate Deep Representation Quantization with Gradient Snapping Layer
  for Similarity Search
Accurate Deep Representation Quantization with Gradient Snapping Layer for Similarity Search
Shicong Liu
Hongtao Lu
65
2
0
30 Oct 2016
Local Similarity-Aware Deep Feature Embedding
Local Similarity-Aware Deep Feature Embedding
Chen Huang
Chen Change Loy
Xiaoou Tang
189
181
0
27 Oct 2016
End-to-end Learning of Deep Visual Representations for Image Retrieval
End-to-end Learning of Deep Visual Representations for Image Retrieval
Albert Gordo
Jon Almazán
Jérôme Revaud
Diane Larlus
VLM
272
557
0
25 Oct 2016
Learning Robust Video Synchronization without Annotations
Learning Robust Video Synchronization without Annotations
P. Wieschollek
Ido Freeman
Hendrik P. A. Lensch
232
7
0
19 Oct 2016
To Frontalize or Not To Frontalize: Do We Really Need Elaborate
  Pre-processing To Improve Face Recognition?
To Frontalize or Not To Frontalize: Do We Really Need Elaborate Pre-processing To Improve Face Recognition?
Sandipan Banerjee
Joel Brogan
Janez Križaj
Aparna Bharati
Brandon RichardWebster
Vitomir Štruc
Patrick Flynn
Walter J. Scheirer
CVBM
226
1
0
16 Oct 2016
Towards K-means-friendly Spaces: Simultaneous Deep Learning and
  Clustering
Towards K-means-friendly Spaces: Simultaneous Deep Learning and Clustering
Bo Yang
Xiao Fu
N. Sidiropoulos
Mingyi Hong
DRL
303
958
0
15 Oct 2016
Deep Learning Ensembles for Melanoma Recognition in Dermoscopy Images
Deep Learning Ensembles for Melanoma Recognition in Dermoscopy ImagesIBM Journal of Research and Development (IBM J. Res. Dev.), 2016
Noel Codella
Q. Nguyen
Sharath Pankanti
David Gutman
Brian Helba
Allan Halpern
John R. Smith
311
580
0
14 Oct 2016
Person Re-identification: Past, Present and Future
Person Re-identification: Past, Present and Future
Liang Zheng
Yi Yang
Alexander G. Hauptmann
364
1,152
0
10 Oct 2016
Learning Grimaces by Watching TV
Learning Grimaces by Watching TVBritish Machine Vision Conference (BMVC), 2016
Samuel Albanie
Andrea Vedaldi
CVBM
100
26
0
07 Oct 2016
Domain Adaptation with Soft-margin multiple feature-kernel learning
  beats Deep Learning for surveillance face recognition
Domain Adaptation with Soft-margin multiple feature-kernel learning beats Deep Learning for surveillance face recognition
Samik Banerjee
Sukhendu Das
CVBM
186
10
0
05 Oct 2016
Deep unsupervised learning through spatial contrasting
Deep unsupervised learning through spatial contrasting
Elad Hoffer
Itay Hubara
Nir Ailon
SSL
190
23
0
02 Oct 2016
Very Deep Convolutional Neural Networks for Raw Waveforms
Very Deep Convolutional Neural Networks for Raw Waveforms
Wei Dai
Chia Dai
Shuhui Qu
Juncheng Billy Li
Samarjit Das
288
376
0
01 Oct 2016
OPML: A One-Pass Closed-Form Solution for Online Metric Learning
OPML: A One-Pass Closed-Form Solution for Online Metric Learning
Wenbin Li
Yang Gao
Lei Wang
Luping Zhou
Jing Huo
Yinghuan Shi
VLMOffRL
70
22
0
29 Sep 2016
Scalable Discrete Supervised Hash Learning with Asymmetric Matrix
  Factorization
Scalable Discrete Supervised Hash Learning with Asymmetric Matrix Factorization
Shifeng Zhang
Jianmin Li
J. Guo
Bo Zhang
125
4
0
28 Sep 2016
Pose-Selective Max Pooling for Measuring Similarity
Pose-Selective Max Pooling for Measuring Similarity
Xiang Xiang
T. Tran
CVBM
230
5
0
22 Sep 2016
From Facial Expression Recognition to Interpersonal Relation Prediction
From Facial Expression Recognition to Interpersonal Relation Prediction
Zhanpeng Zhang
Ping Luo
Chen Change Loy
Xiaoou Tang
CVBM
308
292
0
21 Sep 2016
TristouNet: Triplet Loss for Speaker Turn Embedding
TristouNet: Triplet Loss for Speaker Turn Embedding
H. Bredin
149
184
0
14 Sep 2016
VIPLFaceNet: An Open Source Deep Face Recognition SDK
VIPLFaceNet: An Open Source Deep Face Recognition SDK
Xin Liu
Meina Kan
Wanglong Wu
Shiguang Shan
Xilin Chen
CVBMVLM
115
101
0
13 Sep 2016
DAiSEE: Towards User Engagement Recognition in the Wild
DAiSEE: Towards User Engagement Recognition in the Wild
Abhay Gupta
Arjun DĆunha
Kamal N. Awasthi
V. Balasubramanian
321
172
0
07 Sep 2016
Defeating Image Obfuscation with Deep Learning
Defeating Image Obfuscation with Deep Learning
R. McPherson
Reza Shokri
Vitaly Shmatikov
CVBM
253
184
0
01 Sep 2016
A Boundary Tilting Persepective on the Phenomenon of Adversarial
  Examples
A Boundary Tilting Persepective on the Phenomenon of Adversarial Examples
T. Tanay
Lewis D. Griffin
AAML
237
282
0
27 Aug 2016
A Recurrent Encoder-Decoder Network for Sequential Face Alignment
A Recurrent Encoder-Decoder Network for Sequential Face AlignmentEuropean Conference on Computer Vision (ECCV), 2016
Xi Peng
Rogerio Feris
Xiaoyu Wang
Dimitris N. Metaxas
CVBM
427
143
0
19 Aug 2016
How Image Degradations Affect Deep CNN-based Face Recognition?
How Image Degradations Affect Deep CNN-based Face Recognition?Biometrics and Electronic Signatures (BES), 2016
Samil Karahan
M. Yildirim
K. Kirtaç
F. Rende
Gultekin Butun
H. K. Ekenel
CVBM
143
130
0
18 Aug 2016
Cross Euclidean-to-Riemannian Metric Learning with Application to Face
  Recognition from Video
Cross Euclidean-to-Riemannian Metric Learning with Application to Face Recognition from Video
Zhiwu Huang
Ruiping Wang
Shiguang Shan
Luc Van Gool
Xilin Chen
CVBM
155
75
0
15 Aug 2016
Localizing and Orienting Street Views Using Overhead Imagery
Localizing and Orienting Street Views Using Overhead Imagery
Nam N. Vo
James Hays
264
274
0
30 Jul 2016
Faceless Person Recognition; Privacy Implications in Social Media
Faceless Person Recognition; Privacy Implications in Social Media
Seong Joon Oh
Rodrigo Benenson
Mario Fritz
Bernt Schiele
CVBM
555
169
0
28 Jul 2016
MS-Celeb-1M: A Dataset and Benchmark for Large-Scale Face Recognition
MS-Celeb-1M: A Dataset and Benchmark for Large-Scale Face Recognition
Yandong Guo
Lei Zhang
Yuxiao Hu
Xiaodong He
Jianfeng Gao
CVBM
809
2,125
0
27 Jul 2016
Peak-Piloted Deep Network for Facial Expression Recognition
Peak-Piloted Deep Network for Facial Expression Recognition
Xiangyu Zhao
Xiaodan Liang
Luoqi Liu
Teng Li
Yugang Han
Nuno Vasconcelos
Shuicheng Yan
CVBM
221
291
0
24 Jul 2016
Supervised Transformer Network for Efficient Face Detection
Supervised Transformer Network for Efficient Face Detection
Dong Chen
G. Hua
Fang Wen
Jian Sun
ViTCVBM
162
171
0
19 Jul 2016
Trunk-Branch Ensemble Convolutional Neural Networks for Video-based Face
  Recognition
Trunk-Branch Ensemble Convolutional Neural Networks for Video-based Face Recognition
Changxing Ding
Dacheng Tao
CVBM
283
402
0
19 Jul 2016
A Multi-task Deep Network for Person Re-identification
A Multi-task Deep Network for Person Re-identification
Weihua Chen
Xiaotang Chen
Jianguo Zhang
Kaiqi Huang
CVBM
232
196
0
19 Jul 2016
Deep Cascaded Bi-Network for Face Hallucination
Deep Cascaded Bi-Network for Face HallucinationEuropean Conference on Computer Vision (ECCV), 2016
Shizhan Zhu
Sifei Liu
Chen Change Loy
Xiaoou Tang
SupR
189
237
0
18 Jul 2016
Attribute Recognition from Adaptive Parts
Attribute Recognition from Adaptive PartsBritish Machine Vision Conference (BMVC), 2016
Luwei Yang
Ligen Zhu
Yichen Wei
Shuang Liang
P. Tan
256
20
0
05 Jul 2016
Fully-Convolutional Siamese Networks for Object Tracking
Fully-Convolutional Siamese Networks for Object Tracking
Luca Bertinetto
Jack Valmadre
João F. Henriques
Andrea Vedaldi
Juil Sock
VOT
374
4,226
0
30 Jun 2016
VideoMCC: a New Benchmark for Video Comprehension
VideoMCC: a New Benchmark for Video Comprehension
Du Tran
Maksim Bolonkin
Manohar Paluri
Lorenzo Torresani
307
1
0
23 Jun 2016
Conditional Image Generation with PixelCNN Decoders
Conditional Image Generation with PixelCNN Decoders
Aaron van den Oord
Nal Kalchbrenner
Oriol Vinyals
L. Espeholt
Alex Graves
Koray Kavukcuoglu
VLM
778
2,689
0
16 Jun 2016
End-to-End Comparative Attention Networks for Person Re-identification
End-to-End Comparative Attention Networks for Person Re-identification
Hao Liu
Jiashi Feng
Meibin Qi
Jianguo Jiang
Shuicheng Yan
299
599
0
14 Jun 2016
Inverting face embeddings with convolutional neural networks
Inverting face embeddings with convolutional neural networks
A. Zhmoginov
Mark Sandler
3DHCVBM
263
71
0
14 Jun 2016
Universal Correspondence Network
Universal Correspondence Network
Chris Choy
JunYoung Gwak
Silvio Savarese
Manmohan Chandraker
232
379
0
11 Jun 2016
A Comprehensive Analysis of Deep Learning Based Representation for Face
  Recognition
A Comprehensive Analysis of Deep Learning Based Representation for Face Recognition
Mostafa Mehdipour-Ghazi
H. K. Ekenel
CVBM
174
148
0
09 Jun 2016
Low-shot Visual Recognition by Shrinking and Hallucinating Features
Low-shot Visual Recognition by Shrinking and Hallucinating Features
Bharath Hariharan
Ross B. Girshick
VLM
324
51
0
09 Jun 2016
Systematic evaluation of CNN advances on the ImageNet
Systematic evaluation of CNN advances on the ImageNet
Dmytro Mishkin
N. Sergievskiy
Jirí Matas
FAtt
138
122
0
07 Jun 2016
Photo Aesthetics Ranking Network with Attributes and Content Adaptation
Photo Aesthetics Ranking Network with Attributes and Content AdaptationEuropean Conference on Computer Vision (ECCV), 2016
Shu Kong
Xiaohui Shen
Zhe Lin
R. Měch
Charless C. Fowlkes
238
497
0
06 Jun 2016
cvpaper.challenge in 2015 - A review of CVPR2015 and DeepSurvey
cvpaper.challenge in 2015 - A review of CVPR2015 and DeepSurvey
Hirokatsu Kataoka
Yudai Miyashita
Tomoaki K. Yamabe
Soma Shirakabe
Shin-ichi Sato
...
Kaori Abe
Takaaki Imanari
Naomichi Kobayashi
Shinichiro Morita
Akio Nakamura
154
2
0
26 May 2016
Self Paced Deep Learning for Weakly Supervised Object Detection
Self Paced Deep Learning for Weakly Supervised Object Detection
E. Sangineto
Moin Nabi
D. Ćulibrk
Andrii Zadaianchuk
WSODSSL
222
121
0
24 May 2016
Learning a Metric Embedding for Face Recognition using the Multibatch
  Method
Learning a Metric Embedding for Face Recognition using the Multibatch Method
Oren Tadmor
Y. Wexler
Tal Rosenwein
Shai Shalev-Shwartz
Amnon Shashua
CVBM
162
53
0
24 May 2016
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
261
69
0
11 May 2016
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