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Deep Metric Learning with Spherical Embedding

Deep Metric Learning with Spherical Embedding

5 November 2020
Dingyi Zhang
Yingming Li
Zhongfei Zhang
    DML
ArXiv (abs)PDFHTML

Papers citing "Deep Metric Learning with Spherical Embedding"

15 / 15 papers shown
T-REGS: Minimum Spanning Tree Regularization for Self-Supervised Learning
T-REGS: Minimum Spanning Tree Regularization for Self-Supervised Learning
Julie Mordacq
David Loiseaux
Vicky Kalogeiton
S. Oudot
246
0
0
27 Oct 2025
A Capacity-Based Rationale for Multi-Head Attention
A Capacity-Based Rationale for Multi-Head Attention
Micah Adler
237
0
0
26 Sep 2025
The Hidden Pitfalls of the Cosine Similarity Loss
The Hidden Pitfalls of the Cosine Similarity Loss
Andrew Draganov
Sharvaree P. Vadgama
Erik J. Bekkers
SSL
441
7
0
24 Jun 2024
Optimization of Rank Losses for Image Retrieval
Optimization of Rank Losses for Image RetrievalIEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2023
Elias Ramzi
Nicolas Audebert
Clément Rambour
André Araujo
Xavier Bitot
Nicolas Thome
202
10
0
15 Sep 2023
Introspective Deep Metric Learning
Introspective Deep Metric LearningIEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2023
Cheng-Hao Wang
Wenzhao Zheng
Zheng Hua Zhu
Jie Zhou
Jiwen Lu
UQCV
296
20
0
11 Sep 2023
Angular triangle distance for ordinal metric learning
Angular triangle distance for ordinal metric learning
Imam Mustafa Kamal
Hyerim Bae
DML
172
0
0
28 Nov 2022
Metric Learning as a Service with Covariance Embedding
Metric Learning as a Service with Covariance EmbeddingIEEE Transactions on Services Computing (IEEE TSC), 2022
Imam Mustafa Kamal
Hyerim Bae
Ling Liu
DML
220
4
0
28 Nov 2022
Understanding Open-Set Recognition by Jacobian Norm and Inter-Class
  Separation
Understanding Open-Set Recognition by Jacobian Norm and Inter-Class SeparationPattern Recognition (Pattern Recogn.), 2022
Jaewoo Park
Hojin Park
Eunju Jeong
Andrew Beng Jin Teoh
322
12
0
23 Sep 2022
Deep Metric Learning with Chance Constraints
Deep Metric Learning with Chance ConstraintsIEEE Workshop/Winter Conference on Applications of Computer Vision (WACV), 2022
Y. Z. Gürbüz
Ogul Can
A. Aydin Alatan
473
3
0
19 Sep 2022
Neural Bregman Divergences for Distance Learning
Neural Bregman Divergences for Distance LearningInternational Conference on Learning Representations (ICLR), 2022
Fred Lu
Edward Raff
Francis Ferraro
173
5
0
09 Jun 2022
Non-isotropy Regularization for Proxy-based Deep Metric Learning
Non-isotropy Regularization for Proxy-based Deep Metric LearningComputer Vision and Pattern Recognition (CVPR), 2022
Karsten Roth
Oriol Vinyals
Zeynep Akata
341
46
0
16 Mar 2022
Robust and Decomposable Average Precision for Image Retrieval
Robust and Decomposable Average Precision for Image Retrieval
Elias Ramzi
Nicolas Thome
Clément Rambour
Nicolas Audebert
Xavier Bitot
352
38
0
01 Oct 2021
Variational Graph Normalized Auto-Encoders
Variational Graph Normalized Auto-Encoders
S. Ahn
Myoung-Ho Kim
273
99
0
18 Aug 2021
Informative and Representative Triplet Selection for Multilabel Remote
  Sensing Image Retrieval
Informative and Representative Triplet Selection for Multilabel Remote Sensing Image RetrievalIEEE Transactions on Geoscience and Remote Sensing (TGRS), 2021
Gencer Sumbul
Mahdyar Ravanbakhsh
Begüm Demir
414
32
0
08 May 2021
Weight Rescaling: Effective and Robust Regularization for Deep Neural
  Networks with Batch Normalization
Weight Rescaling: Effective and Robust Regularization for Deep Neural Networks with Batch Normalization
Ziquan Liu
Yufei Cui
Jia Wan
Yushun Mao
Antoni B. Chan
347
2
0
06 Feb 2021
1
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