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Learning Deep Features via Congenerous Cosine Loss for Person
  Recognition

Learning Deep Features via Congenerous Cosine Loss for Person Recognition

22 February 2017
Yu Liu
Hongyang Li
Xiaogang Wang
    CVBM
ArXivPDFHTML

Papers citing "Learning Deep Features via Congenerous Cosine Loss for Person Recognition"

14 / 14 papers shown
Title
Maximally Compact and Separated Features with Regular Polytope Networks
Maximally Compact and Separated Features with Regular Polytope Networks
F. Pernici
Matteo Bruni
C. Baecchi
A. Bimbo
26
19
0
15 Jan 2023
Distract Your Attention: Multi-head Cross Attention Network for Facial
  Expression Recognition
Distract Your Attention: Multi-head Cross Attention Network for Facial Expression Recognition
Zhengyao Wen
Wen-Long Lin
Tao Wang
Ge Xu
CVBM
107
209
0
15 Sep 2021
SphereFace2: Binary Classification is All You Need for Deep Face
  Recognition
SphereFace2: Binary Classification is All You Need for Deep Face Recognition
Yandong Wen
Weiyang Liu
Adrian Weller
Bhiksha Raj
Rita Singh
CVBM
MQ
24
53
0
03 Aug 2021
Recent Advances in Deep Learning Techniques for Face Recognition
Recent Advances in Deep Learning Techniques for Face Recognition
Md. Tahmid Hasan Fuad
Awal Ahmed Fime
Delowar Sikder
Md. Akil Raihan Iftee
Jakaria Rabbi
Mabrook S. Al-Rakhami
Abdu H. Gumaei
Ovishake Sen
Mohtasim Fuad
Md. Nazrul Islam
34
64
0
18 Mar 2021
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
32
214
0
01 May 2019
Fix Your Features: Stationary and Maximally Discriminative Embeddings
  using Regular Polytope (Fixed Classifier) Networks
Fix Your Features: Stationary and Maximally Discriminative Embeddings using Regular Polytope (Fixed Classifier) Networks
F. Pernici
Matteo Bruni
C. Baecchi
A. Bimbo
25
11
0
27 Feb 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
36
47
0
01 Jan 2019
Clustering-Oriented Representation Learning with Attractive-Repulsive
  Loss
Clustering-Oriented Representation Learning with Attractive-Repulsive Loss
Kian Kenyon-Dean
Andre Cianflone
Lucas Caccia
Guillaume Rabusseau
Jackie C.K. Cheung
Doina Precup
21
12
0
18 Dec 2018
Towards Interpretable Face Recognition
Towards Interpretable Face Recognition
Bangjie Yin
Luan Tran
Haoxiang Li
Xiaohui Shen
Xiaoming Liu
CVBM
22
82
0
02 May 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
21
198
0
28 Feb 2018
Recurrent Scale Approximation for Object Detection in CNN
Recurrent Scale Approximation for Object Detection in CNN
Yu Liu
Hongyang Li
Junjie Yan
Fangyin Wei
Xiaogang Wang
Xiaoou Tang
ObjD
20
89
0
29 Jul 2017
Feature Incay for Representation Regularization
Feature Incay for Representation Regularization
Yuhui Yuan
Kuiyuan Yang
Chao Zhang
35
16
0
29 May 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
Adversarial Image Perturbation for Privacy Protection -- A Game Theory
  Perspective
Adversarial Image Perturbation for Privacy Protection -- A Game Theory Perspective
Seong Joon Oh
Mario Fritz
Bernt Schiele
CVBM
AAML
339
160
0
28 Mar 2017
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