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Fisher Discriminant Triplet and Contrastive Losses for Training Siamese
  Networks

Fisher Discriminant Triplet and Contrastive Losses for Training Siamese Networks

IEEE International Joint Conference on Neural Network (IJCNN), 2020
5 April 2020
Benyamin Ghojogh
Milad Sikaroudi
Sobhan Shafiei
H. R. Tizhoosh
Fakhri Karray
Mark Crowley
ArXiv (abs)PDFHTML

Papers citing "Fisher Discriminant Triplet and Contrastive Losses for Training Siamese Networks"

17 / 17 papers shown
LSEG: A Lightweight and Secure Key Exchange Protocol for Smart Grid Communication
LSEG: A Lightweight and Secure Key Exchange Protocol for Smart Grid Communication
Amna Zafar
Muhammad Asfand Hafeez
Arslan Munir
186
0
0
10 Nov 2025
Siamese Content-based Search Engine for a More Transparent Skin and
  Breast Cancer Diagnosis through Histological Imaging
Siamese Content-based Search Engine for a More Transparent Skin and Breast Cancer Diagnosis through Histological Imaging
Zahra Tabatabaei
Adrián Colomer
Javier Oliver Moll
Valery Naranjo
164
3
0
16 Jan 2024
GaitMPL: Gait Recognition with Memory-Augmented Progressive Learning
GaitMPL: Gait Recognition with Memory-Augmented Progressive LearningIEEE Transactions on Image Processing (IEEE TIP), 2022
Huanzhang Dou
Pengyi Zhang
Yuhan Zhao
Lin Dong
Zequn Qin
Xi Li
CVBMVLM
317
32
0
06 Jun 2023
VISHIEN-MAAT: Scrollytelling visualization design for explaining Siamese
  Neural Network concept to non-technical users
VISHIEN-MAAT: Scrollytelling visualization design for explaining Siamese Neural Network concept to non-technical usersVisual Informatics (VI), 2023
Noptanit Chotisarn
S. Gulyanon
Tianye Zhang
Wei Chen
122
11
0
04 Apr 2023
Generalized Inter-class Loss for Gait Recognition
Generalized Inter-class Loss for Gait RecognitionACM Multimedia (ACM MM), 2022
Weichen Yu
Hongyuan Yu
Yan Huang
Liang Wang
CVBM
260
19
0
13 Oct 2022
What can we Learn by Predicting Accuracy?
What can we Learn by Predicting Accuracy?IEEE Workshop/Winter Conference on Applications of Computer Vision (WACV), 2022
Olivier Risser-Maroix
Benjamin Chamand
263
4
0
02 Aug 2022
Spectral, Probabilistic, and Deep Metric Learning: Tutorial and Survey
Spectral, Probabilistic, and Deep Metric Learning: Tutorial and Survey
Benyamin Ghojogh
A. Ghodsi
Fakhri Karray
Mark Crowley
267
30
0
23 Jan 2022
Learning Physics Properties of Fabrics and Garments with a Physics
  Similarity Neural Network
Learning Physics Properties of Fabrics and Garments with a Physics Similarity Neural Network
Yash Zambre
Akshatha Mohan
G. Aragon-Camarasa
AI4CE
143
2
0
20 Dec 2021
Vector Transport Free Riemannian LBFGS for Optimization on Symmetric
  Positive Definite Matrix Manifolds
Vector Transport Free Riemannian LBFGS for Optimization on Symmetric Positive Definite Matrix ManifoldsAsian Conference on Machine Learning (ACML), 2021
R. Godaz
Benyamin Ghojogh
Reshad Hosseini
R. Monsefi
Fakhri Karray
Mark Crowley
185
7
0
25 Aug 2021
Uniform Manifold Approximation and Projection (UMAP) and its Variants:
  Tutorial and Survey
Uniform Manifold Approximation and Projection (UMAP) and its Variants: Tutorial and Survey
Benyamin Ghojogh
A. Ghodsi
Fakhri Karray
Mark Crowley
204
49
0
25 Aug 2021
About Explicit Variance Minimization: Training Neural Networks for
  Medical Imaging With Limited Data Annotations
About Explicit Variance Minimization: Training Neural Networks for Medical Imaging With Limited Data Annotations
Dmitrii Shubin
Danny Eytan
Sebastian D. Goodfellow
245
3
0
28 May 2021
Deep Gait Recognition: A Survey
Deep Gait Recognition: A SurveyIEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2021
Alireza Sepas-Moghaddam
Ali Etemad
CVBM
292
246
0
18 Feb 2021
Magnification Generalization for Histopathology Image Embedding
Magnification Generalization for Histopathology Image EmbeddingIEEE International Symposium on Biomedical Imaging (ISBI), 2021
Milad Sikaroudi
Benyamin Ghojogh
Fakhri Karray
Mark Crowley
H. R. Tizhoosh
MedIm
148
6
0
18 Jan 2021
Acceleration of Large Margin Metric Learning for Nearest Neighbor
  Classification Using Triplet Mining and Stratified Sampling
Acceleration of Large Margin Metric Learning for Nearest Neighbor Classification Using Triplet Mining and Stratified Sampling
Parisa Abdolrahim Poorheravi
Benyamin Ghojogh
Vincent C. Gaudet
Fakhri Karray
Mark Crowley
168
5
0
29 Sep 2020
Batch-Incremental Triplet Sampling for Training Triplet Networks Using
  Bayesian Updating Theorem
Batch-Incremental Triplet Sampling for Training Triplet Networks Using Bayesian Updating TheoremInternational Conference on Pattern Recognition (ICPR), 2020
Milad Sikaroudi
Benyamin Ghojogh
Fakhri Karray
Mark Crowley
H. R. Tizhoosh
283
3
0
10 Jul 2020
Offline versus Online Triplet Mining based on Extreme Distances of
  Histopathology Patches
Offline versus Online Triplet Mining based on Extreme Distances of Histopathology Patches
Milad Sikaroudi
Benyamin Ghojogh
Amir Safarpoor
Fakhri Karray
Mark Crowley
H. R. Tizhoosh
273
20
0
04 Jul 2020
Quantile-Quantile Embedding for Distribution Transformation and Manifold
  Embedding with Ability to Choose the Embedding Distribution
Quantile-Quantile Embedding for Distribution Transformation and Manifold Embedding with Ability to Choose the Embedding Distribution
Benyamin Ghojogh
Fakhri Karray
Mark Crowley
265
2
0
19 Jun 2020
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