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Large-Margin Softmax Loss for Convolutional Neural Networks

Large-Margin Softmax Loss for Convolutional Neural Networks

7 December 2016
Weiyang Liu
Yandong Wen
Zhiding Yu
Meng Yang
    CVBM
ArXivPDFHTML

Papers citing "Large-Margin Softmax Loss for Convolutional Neural Networks"

36 / 186 papers shown
Title
Deep Gamblers: Learning to Abstain with Portfolio Theory
Deep Gamblers: Learning to Abstain with Portfolio Theory
Liu Ziyin
Zhikang T. Wang
Paul Pu Liang
Ruslan Salakhutdinov
Louis-Philippe Morency
Masahito Ueda
23
110
0
29 Jun 2019
Spatial Pyramid Encoding with Convex Length Normalization for
  Text-Independent Speaker Verification
Spatial Pyramid Encoding with Convex Length Normalization for Text-Independent Speaker Verification
Youngmoon Jung
Younggwan Kim
Hyungjun Lim
Yeunju Choi
Hoirin Kim
21
32
0
19 Jun 2019
Improving Neural Language Modeling via Adversarial Training
Improving Neural Language Modeling via Adversarial Training
Dilin Wang
Chengyue Gong
Qiang Liu
AAML
43
115
0
10 Jun 2019
Addressing the Loss-Metric Mismatch with Adaptive Loss Alignment
Addressing the Loss-Metric Mismatch with Adaptive Loss Alignment
Chen Huang
Shuangfei Zhai
Walter A. Talbott
Miguel Angel Bautista
Shi Sun
Carlos Guestrin
J. Susskind
29
75
0
15 May 2019
AdaCos: Adaptively Scaling Cosine Logits for Effectively Learning Deep
  Face Representations
AdaCos: Adaptively Scaling Cosine Logits for Effectively Learning Deep Face Representations
Xiao Zhang
Rui Zhao
Yu Qiao
Xiaogang Wang
Hongsheng Li
CVBM
30
214
0
01 May 2019
IMAE for Noise-Robust Learning: Mean Absolute Error Does Not Treat
  Examples Equally and Gradient Magnitude's Variance Matters
IMAE for Noise-Robust Learning: Mean Absolute Error Does Not Treat Examples Equally and Gradient Magnitude's Variance Matters
Xinshao Wang
Yang Hua
Elyor Kodirov
David A. Clifton
N. Robertson
NoLa
24
62
0
28 Mar 2019
Hyperspherical Prototype Networks
Hyperspherical Prototype Networks
Pascal Mettes
Elise van der Pol
Cees G. M. Snoek
24
123
0
29 Jan 2019
Striking the Right Balance with Uncertainty
Striking the Right Balance with Uncertainty
Salman Khan
Munawar Hayat
Waqas Zamir
Jianbing Shen
Ling Shao
25
174
0
22 Jan 2019
A Performance Comparison of Loss Functions for Deep Face Recognition
A Performance Comparison of Loss Functions for Deep Face Recognition
Yash Srivastava
Vaishnav Murali
S. Dubey
CVBM
28
47
0
01 Jan 2019
Accelerating Large Scale Knowledge Distillation via Dynamic Importance
  Sampling
Accelerating Large Scale Knowledge Distillation via Dynamic Importance Sampling
Minghan Li
Tanli Zuo
Ruicheng Li
Martha White
Weishi Zheng
29
3
0
03 Dec 2018
Skeleton-Based Action Recognition with Synchronous Local and Non-local
  Spatio-temporal Learning and Frequency Attention
Skeleton-Based Action Recognition with Synchronous Local and Non-local Spatio-temporal Learning and Frequency Attention
Guyue Hu
Bo Cui
Shan Yu
19
40
0
10 Nov 2018
Disjoint Mapping Network for Cross-modal Matching of Voices and Faces
Disjoint Mapping Network for Cross-modal Matching of Voices and Faces
Yandong Wen
Mahmoud Al Ismail
Weiyang Liu
Bhiksha Raj
Rita Singh
FedML
22
70
0
12 Jul 2018
Large Margin Few-Shot Learning
Large Margin Few-Shot Learning
Yong Wang
Xiao-Ming Wu
Qimai Li
Jiatao Gu
Wangmeng Xiang
Lei Zhang
V. Li
MQ
29
29
0
08 Jul 2018
SphereReID: Deep Hypersphere Manifold Embedding for Person
  Re-Identification
SphereReID: Deep Hypersphere Manifold Embedding for Person Re-Identification
Xing Fan
Wei Jiang
Hao Luo
Mengjuan Fei
22
199
0
02 Jul 2018
Large-scale Bisample Learning on ID Versus Spot Face Recognition
Large-scale Bisample Learning on ID Versus Spot Face Recognition
Xiangyu Zhu
Hao Liu
Zhen Lei
Hailin Shi
Fan Yang
Dong Yi
Guojun Qi
Stan Z. Li
CVBM
26
47
0
08 Jun 2018
ALMN: Deep Embedding Learning with Geometrical Virtual Point Generating
ALMN: Deep Embedding Learning with Geometrical Virtual Point Generating
Binghui Chen
Weihong Deng
16
7
0
04 Jun 2018
Deep Imbalanced Learning for Face Recognition and Attribute Prediction
Deep Imbalanced Learning for Face Recognition and Attribute Prediction
Chen Huang
Yining Li
Chen Change Loy
Xiaoou Tang
CVBM
14
309
0
01 Jun 2018
On Low-Resolution Face Recognition in the Wild: Comparisons and New
  Techniques
On Low-Resolution Face Recognition in the Wild: Comparisons and New Techniques
Pei Li
Loreto Prieto
Domingo Mery
Patrick Flynn
CVBM
33
151
0
29 May 2018
Minimum Margin Loss for Deep Face Recognition
Minimum Margin Loss for Deep Face Recognition
Xin Wei
Hui Wang
B. Scotney
Huan Wan
CVBM
36
41
0
17 May 2018
Decoupled Networks
Decoupled Networks
Weiyang Liu
Ziqiang Liu
Zhiding Yu
Bo Dai
Rongmei Lin
Yisen Wang
James M. Rehg
Le Song
OOD
19
2
0
22 Apr 2018
Large Margin Deep Networks for Classification
Large Margin Deep Networks for Classification
Gamaleldin F. Elsayed
Dilip Krishnan
H. Mobahi
Kevin Regan
Samy Bengio
MQ
22
281
0
15 Mar 2018
Exponential Discriminative Metric Embedding in Deep Learning
Exponential Discriminative Metric Embedding in Deep Learning
Bowen Wu
Zhangling Chen
Jun Wang
Hua-Ming Wu
37
10
0
07 Mar 2018
Ring loss: Convex Feature Normalization for Face Recognition
Ring loss: Convex Feature Normalization for Face Recognition
Yutong Zheng
Dipan K. Pal
Marios Savvides
CVBM
19
198
0
28 Feb 2018
OLÉ: Orthogonal Low-rank Embedding, A Plug and Play Geometric Loss for
  Deep Learning
OLÉ: Orthogonal Low-rank Embedding, A Plug and Play Geometric Loss for Deep Learning
José Lezama
Qiang Qiu
Pablo Musé
Guillermo Sapiro
35
78
0
05 Dec 2017
Learning Channel Inter-dependencies at Multiple Scales on Dense Networks
  for Face Recognition
Learning Channel Inter-dependencies at Multiple Scales on Dense Networks for Face Recognition
Qiangchang Wang
G. Guo
Mohammad Iqbal Nouyed
CVBM
32
1
0
28 Nov 2017
Improving Lexical Choice in Neural Machine Translation
Improving Lexical Choice in Neural Machine Translation
Toan Q. Nguyen
David Chiang
29
86
0
03 Oct 2017
Noisy Softmax: Improving the Generalization Ability of DCNN via
  Postponing the Early Softmax Saturation
Noisy Softmax: Improving the Generalization Ability of DCNN via Postponing the Early Softmax Saturation
Binghui Chen
Weihong Deng
Junping Du
25
125
0
12 Aug 2017
DarkRank: Accelerating Deep Metric Learning via Cross Sample
  Similarities Transfer
DarkRank: Accelerating Deep Metric Learning via Cross Sample Similarities Transfer
Yuntao Chen
Naiyan Wang
Zhaoxiang Zhang
FedML
57
219
0
05 Jul 2017
von Mises-Fisher Mixture Model-based Deep learning: Application to Face
  Verification
von Mises-Fisher Mixture Model-based Deep learning: Application to Face Verification
Abul Hasnat
Julien Bohné
Jonathan Milgram
S. Gentric
Liming Chen
CVBM
44
91
0
13 Jun 2017
Feature Incay for Representation Regularization
Feature Incay for Representation Regularization
Yuhui Yuan
Kuiyuan Yang
Chao Zhang
35
16
0
29 May 2017
SphereFace: Deep Hypersphere Embedding for Face Recognition
SphereFace: Deep Hypersphere Embedding for Face Recognition
Weiyang Liu
Yandong Wen
Zhiding Yu
Ming Li
Bhiksha Raj
Le Song
CVBM
105
2,786
0
26 Apr 2017
NormFace: L2 Hypersphere Embedding for Face Verification
NormFace: L2 Hypersphere Embedding for Face Verification
Feng Wang
Xiang Xiang
Jian Cheng
Alan Yuille
3DH
CVBM
24
739
0
21 Apr 2017
A Deep Learning Framework using Passive WiFi Sensing for Respiration
  Monitoring
A Deep Learning Framework using Passive WiFi Sensing for Respiration Monitoring
U. M. Khan
Zain Kabir
Syed Ali Hassan
Syed Hassan Ahmed
24
50
0
19 Apr 2017
A Discriminatively Learned CNN Embedding for Person Re-identification
A Discriminatively Learned CNN Embedding for Person Re-identification
Zhedong Zheng
Liang Zheng
Yi Yang
64
883
0
17 Nov 2016
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
250
921
0
03 Dec 2014
Improving neural networks by preventing co-adaptation of feature
  detectors
Improving neural networks by preventing co-adaptation of feature detectors
Geoffrey E. Hinton
Nitish Srivastava
A. Krizhevsky
Ilya Sutskever
Ruslan Salakhutdinov
VLM
266
7,639
0
03 Jul 2012
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