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von Mises-Fisher Mixture Model-based Deep learning: Application to Face
  Verification

von Mises-Fisher Mixture Model-based Deep learning: Application to Face Verification

13 June 2017
Abul Hasnat
Julien Bohné
Jonathan Milgram
S. Gentric
Liming Luke Chen
    CVBM
ArXivPDFHTML

Papers citing "von Mises-Fisher Mixture Model-based Deep learning: Application to Face Verification"

23 / 23 papers shown
Title
Mitigating Bias in Facial Recognition Systems: Centroid Fairness Loss Optimization
Mitigating Bias in Facial Recognition Systems: Centroid Fairness Loss Optimization
Jean-Rémy Conti
Stéphan Clémençon
12
0
0
27 Apr 2025
vMF-Contact: Uncertainty-aware Evidential Learning for Probabilistic Contact-grasp in Noisy Clutter
vMF-Contact: Uncertainty-aware Evidential Learning for Probabilistic Contact-grasp in Noisy Clutter
Yitian Shi
Edgar Welte
Maximilian Gilles
Rania Rayyes
28
3
0
06 Nov 2024
A Coding-Theoretic Analysis of Hyperspherical Prototypical Learning Geometry
A Coding-Theoretic Analysis of Hyperspherical Prototypical Learning Geometry
Martin Lindström
Borja Rodríguez Gálvez
Ragnar Thobaben
Mikael Skoglund
35
0
0
10 Jul 2024
On Kernel-based Variational Autoencoder
On Kernel-based Variational Autoencoder
Tian Qin
Wei-Min Huang
DRL
BDL
58
1
0
21 May 2024
A Bayesian Approach to OOD Robustness in Image Classification
A Bayesian Approach to OOD Robustness in Image Classification
Prakhar Kaushik
Adam Kortylewski
Alan L. Yuille
26
1
0
12 Mar 2024
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
10
19
0
15 Jan 2023
Generalized Inter-class Loss for Gait Recognition
Generalized Inter-class Loss for Gait Recognition
Weichen Yu
Hongyuan Yu
Yan Huang
Liang Wang
CVBM
18
12
0
13 Oct 2022
Towards Calibrated Hyper-Sphere Representation via Distribution Overlap
  Coefficient for Long-tailed Learning
Towards Calibrated Hyper-Sphere Representation via Distribution Overlap Coefficient for Long-tailed Learning
Hualiang Wang
Siming Fu
Xiaoxuan He
Han Fang
Zuozhu Liu
Haoji Hu
28
17
0
22 Aug 2022
SBPF: Sensitiveness Based Pruning Framework For Convolutional Neural
  Network On Image Classification
SBPF: Sensitiveness Based Pruning Framework For Convolutional Neural Network On Image Classification
Yihe Lu
Maoguo Gong
Wei Zhao
Kaiyuan Feng
Hao Li
VLM
29
0
0
09 Aug 2022
Self-supervised learning with rotation-invariant kernels
Self-supervised learning with rotation-invariant kernels
Léon Zheng
Gilles Puy
E. Riccietti
Patrick Pérez
Rémi Gribonval
SSL
9
2
0
28 Jul 2022
Probabilistic Spherical Discriminant Analysis: An Alternative to PLDA
  for length-normalized embeddings
Probabilistic Spherical Discriminant Analysis: An Alternative to PLDA for length-normalized embeddings
Niko Brummer
Albert Swart
Ladislav Movsner
Anna Silnova
Oldvrich Plchot
Themos Stafylakis
Lukávs Burget
15
5
0
28 Mar 2022
No Shifted Augmentations (NSA): compact distributions for robust
  self-supervised Anomaly Detection
No Shifted Augmentations (NSA): compact distributions for robust self-supervised Anomaly Detection
Mohamed Yousef
Marcel R. Ackermann
Unmesh Kurup
Tom E. Bishop
OODD
OOD
26
3
0
19 Mar 2022
Non-isotropy Regularization for Proxy-based Deep Metric Learning
Non-isotropy Regularization for Proxy-based Deep Metric Learning
Karsten Roth
Oriol Vinyals
Zeynep Akata
11
36
0
16 Mar 2022
Visualizing the Emergence of Intermediate Visual Patterns in DNNs
Visualizing the Emergence of Intermediate Visual Patterns in DNNs
Mingjie Li
Shaobo Wang
Quanshi Zhang
16
11
0
05 Nov 2021
On The Distribution of Penultimate Activations of Classification
  Networks
On The Distribution of Penultimate Activations of Classification Networks
Minkyo Seo
Yoonho Lee
Suha Kwak
UQCV
16
4
0
05 Jul 2021
von Mises-Fisher Loss: An Exploration of Embedding Geometries for
  Supervised Learning
von Mises-Fisher Loss: An Exploration of Embedding Geometries for Supervised Learning
Tyler R. Scott
Andrew C. Gallagher
Michael C. Mozer
20
38
0
29 Mar 2021
Riemannian Continuous Normalizing Flows
Riemannian Continuous Normalizing Flows
Emile Mathieu
Maximilian Nickel
AI4CE
25
118
0
18 Jun 2020
Hyperspherical Prototype Networks
Hyperspherical Prototype Networks
Pascal Mettes
Elise van der Pol
Cees G. M. Snoek
16
123
0
29 Jan 2019
Visual Concepts and Compositional Voting
Visual Concepts and Compositional Voting
Jianyu Wang
Zhishuai Zhang
Cihang Xie
Yuyin Zhou
Vittal Premachandran
Jun Zhu
Lingxi Xie
Alan Yuille
27
34
0
13 Nov 2017
Range Loss for Deep Face Recognition with Long-tail
Range Loss for Deep Face Recognition with Long-tail
Xiao Zhang
Zhiyuan Fang
Yandong Wen
Zhifeng Li
Yu Qiao
CVBM
232
446
0
28 Nov 2016
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
124
428
0
03 Nov 2016
Unconstrained Face Verification using Deep CNN Features
Unconstrained Face Verification using Deep CNN Features
Jun-Cheng Chen
Vishal M. Patel
Rama Chellappa
CVBM
221
294
0
07 Aug 2015
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
248
921
0
03 Dec 2014
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