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1901.07169
Cited By

Energy Confused Adversarial Metric Learning for Zero-Shot Image
Retrieval and Clustering

Energy Confused Adversarial Metric Learning for Zero-Shot Image Retrieval and Clustering

22 January 2019

ArXiv (abs)PDF HTML

Papers citing "Energy Confused Adversarial Metric Learning for Zero-Shot Image Retrieval and Clustering"

13 / 13 papers shown

Virtual Classification: Modulating Domain-Specific Knowledge for
Multidomain Crowd Counting

Virtual Classification: Modulating Domain-Specific Knowledge for Multidomain Crowd CountingIEEE Transactions on Neural Networks and Learning Systems (TNNLS), 2024

Yaowei Wang

143

4

0

06 Feb 2024

Pseudo-Pair based Self-Similarity Learning for Unsupervised Person
Re-identification

Pseudo-Pair based Self-Similarity Learning for Unsupervised Person Re-identificationIEEE Transactions on Image Processing (IEEE TIP), 2022

Lin Wu

216

55

0

09 Jul 2022

LoOp: Looking for Optimal Hard Negative Embeddings for Deep Metric
Learning

LoOp: Looking for Optimal Hard Negative Embeddings for Deep Metric Learning

Bhavya Vasudeva

Saumik Bhattacharya

203

15

0

20 Aug 2021

Variational Attention: Propagating Domain-Specific Knowledge for
Multi-Domain Learning in Crowd Counting

Variational Attention: Propagating Domain-Specific Knowledge for Multi-Domain Learning in Crowd Counting

Lei Zhang

176

48

0

18 Aug 2021

Ensemble of Loss Functions to Improve Generalizability of Deep Metric
Learning methods

Ensemble of Loss Functions to Improve Generalizability of Deep Metric Learning methods

Davood Zabihzadeh

Seyed Jalaleddin Mousavirad

264

11

0

02 Jul 2021

A Framework to Enhance Generalization of Deep Metric Learning methods
using General Discriminative Feature Learning and Class Adversarial Neural
Networks

A Framework to Enhance Generalization of Deep Metric Learning methods using General Discriminative Feature Learning and Class Adversarial Neural Networks

Davood Zabihzadeh

167

8

0

11 Jun 2021

SVMax: A Feature Embedding Regularizer

SVMax: A Feature Embedding Regularizer

Abhinav Shrivastava

153

0

0

04 Mar 2021

Deep Miner: A Deep and Multi-branch Network which Mines Rich and Diverse
Features for Person Re-identification

Deep Miner: A Deep and Multi-branch Network which Mines Rich and Diverse Features for Person Re-identification

Abdallah Benzine

Abdalgader Abubaker

Julien Desmarais

104

8

0

18 Feb 2021

Adversarial Multi-scale Feature Learning for Person Re-identification

Adversarial Multi-scale Feature Learning for Person Re-identification

134

2

0

28 Dec 2020

Unsupervised Deep Metric Learning via Orthogonality based Probabilistic
Loss

Unsupervised Deep Metric Learning via Orthogonality based Probabilistic Loss

Mehrtash Harandi

124

19

0

22 Aug 2020

Mixed High-Order Attention Network for Person Re-Identification

Mixed High-Order Attention Network for Person Re-IdentificationIEEE International Conference on Computer Vision (ICCV), 2019

210

383

0

16 Aug 2019

Hybrid-Attention based Decoupled Metric Learning for Zero-Shot Image
Retrieval

Hybrid-Attention based Decoupled Metric Learning for Zero-Shot Image RetrievalComputer Vision and Pattern Recognition (CVPR), 2019

169

57

0

27 Jul 2019

Signal-to-Noise Ratio: A Robust Distance Metric for Deep Metric Learning

Signal-to-Noise Ratio: A Robust Distance Metric for Deep Metric Learning

224

77

0

04 Apr 2019