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Learning Deep Embeddings with Histogram Loss

Learning Deep Embeddings with Histogram Loss

2 November 2016
E. Ustinova
Victor Lempitsky
ArXivPDFHTML

Papers citing "Learning Deep Embeddings with Histogram Loss"

50 / 159 papers shown
Title
GSSF: Generalized Structural Sparse Function for Deep Cross-modal Metric
  Learning
GSSF: Generalized Structural Sparse Function for Deep Cross-modal Metric Learning
Haiwen Diao
Ying Zhang
Shang Gao
Jiawen Zhu
Long Chen
Huchuan Lu
31
4
0
20 Oct 2024
DAAL: Density-Aware Adaptive Line Margin Loss for Multi-Modal Deep
  Metric Learning
DAAL: Density-Aware Adaptive Line Margin Loss for Multi-Modal Deep Metric Learning
Hadush Hailu Gebrerufael
Anil Kumar Tiwari
Gaurav Neupane
Goitom Ybrah Hailu
19
0
0
07 Oct 2024
Towards Fine-Grained Webpage Fingerprinting at Scale
Towards Fine-Grained Webpage Fingerprinting at Scale
Xiyuan Zhao
Xinhao Deng
Qi Li
Yunpeng Liu
Zhuotao Liu
Kun Sun
Ke Xu
29
2
0
06 Sep 2024
ImageSI: Semantic Interaction for Deep Learning Image Projections
ImageSI: Semantic Interaction for Deep Learning Image Projections
Jiayue Lin
Rebecca Faust
Chris North
22
0
0
07 Aug 2024
Not All Pairs are Equal: Hierarchical Learning for
  Average-Precision-Oriented Video Retrieval
Not All Pairs are Equal: Hierarchical Learning for Average-Precision-Oriented Video Retrieval
Yang Liu
Qianqian Xu
Peisong Wen
Siran Dai
Qingming Huang
46
0
0
22 Jul 2024
Deep Boosting Learning: A Brand-new Cooperative Approach for Image-Text
  Matching
Deep Boosting Learning: A Brand-new Cooperative Approach for Image-Text Matching
Haiwen Diao
Ying Zhang
Shang Gao
Xiang Ruan
Huchuan Lu
36
3
0
28 Apr 2024
Brain-Shift: Unsupervised Pseudo-Healthy Brain Synthesis for Novel
  Biomarker Extraction in Chronic Subdural Hematoma
Brain-Shift: Unsupervised Pseudo-Healthy Brain Synthesis for Novel Biomarker Extraction in Chronic Subdural Hematoma
Baris Imre
Elina Thibeau-Sutre
Jorieke Reimer
Kuan Kho
J. Wolterink
26
0
0
28 Mar 2024
OpticalDR: A Deep Optical Imaging Model for Privacy-Protective
  Depression Recognition
OpticalDR: A Deep Optical Imaging Model for Privacy-Protective Depression Recognition
Yuchen Pan
Junjun Jiang
Kui Jiang
Zhihao Wu
Keyuan Yu
Xianming Liu
20
0
0
29 Feb 2024
Tensor Factorization for Leveraging Cross-Modal Knowledge in
  Data-Constrained Infrared Object Detection
Tensor Factorization for Leveraging Cross-Modal Knowledge in Data-Constrained Infrared Object Detection
Manish Sharma
Moitreya Chatterjee
Kuan-Chuan Peng
Suhas Lohit
Z. Wang
17
1
0
28 Sep 2023
Optimization of Rank Losses for Image Retrieval
Optimization of Rank Losses for Image Retrieval
Elias Ramzi
Nicolas Audebert
Clément Rambour
André Araujo
Xavier Bitot
Nicolas Thome
23
4
0
15 Sep 2023
Center Contrastive Loss for Metric Learning
Center Contrastive Loss for Metric Learning
Bolun Cai
Pengfei Xiong
Shangxuan Tian
SSL
15
7
0
01 Aug 2023
On the Stability and Generalization of Triplet Learning
On the Stability and Generalization of Triplet Learning
Jun Chen
H. Chen
Xue Jiang
Bin Gu
Weifu Li
Tieliang Gong
Feng Zheng
29
4
0
20 Feb 2023
Enhancing Face Recognition with Latent Space Data Augmentation and
  Facial Posture Reconstruction
Enhancing Face Recognition with Latent Space Data Augmentation and Facial Posture Reconstruction
Soroush Hashemifar
Abdolreza Marefat
Javad Hassannataj Joloudari
H. Hassanpour
CVBM
31
11
0
27 Jan 2023
A Survey of Face Recognition
A Survey of Face Recognition
Xinyi Wang
Jianteng Peng
Sufang Zhang
Bihui Chen
Yi Wang
Yan-Hua Guo
CVBM
23
0
0
26 Dec 2022
AdaMS: Deep Metric Learning with Adaptive Margin and Adaptive Scale for
  Acoustic Word Discrimination
AdaMS: Deep Metric Learning with Adaptive Margin and Adaptive Scale for Acoustic Word Discrimination
Myunghun Jung
Hoi-Rim Kim
8
1
0
26 Oct 2022
Contrastive Bayesian Analysis for Deep Metric Learning
Contrastive Bayesian Analysis for Deep Metric Learning
Shichao Kan
Zhiquan He
Yigang Cen
Yang Li
Mladenovic Vladimir
Z. He
27
19
0
10 Oct 2022
Exploring the Algorithm-Dependent Generalization of AUPRC Optimization
  with List Stability
Exploring the Algorithm-Dependent Generalization of AUPRC Optimization with List Stability
Peisong Wen
Qianqian Xu
Zhiyong Yang
Yuan He
Qingming Huang
53
10
0
27 Sep 2022
Learning Pair Potentials using Differentiable Simulations
Learning Pair Potentials using Differentiable Simulations
Wujie Wang
Zhenghao Wu
Rafael Gómez-Bombarelli
22
23
0
16 Sep 2022
Learning Deep Optimal Embeddings with Sinkhorn Divergences
Learning Deep Optimal Embeddings with Sinkhorn Divergences
S. Roy
Yan Han
Mehrtash Harandi
L. Petersson
20
0
0
14 Sep 2022
Self-Supervised Pretraining of Graph Neural Network for the Retrieval of
  Related Mathematical Expressions in Scientific Articles
Self-Supervised Pretraining of Graph Neural Network for the Retrieval of Related Mathematical Expressions in Scientific Articles
Lukas Pfahler
K. Morik
SSL
10
4
0
22 Aug 2022
DAS: Densely-Anchored Sampling for Deep Metric Learning
DAS: Densely-Anchored Sampling for Deep Metric Learning
Lizhao Liu
Shan Huang
Zhuangwei Zhuang
Ran Yang
Mingkui Tan
Yaowei Wang
16
7
0
30 Jul 2022
Deep Metric Color Embeddings for Splicing Localization in Severely
  Degraded Images
Deep Metric Color Embeddings for Splicing Localization in Severely Degraded Images
Benjamin Hadwiger
Christian Riess
19
3
0
21 Jun 2022
RankSim: Ranking Similarity Regularization for Deep Imbalanced
  Regression
RankSim: Ranking Similarity Regularization for Deep Imbalanced Regression
Yu Gong
Greg Mori
Frederick Tung
19
44
0
30 May 2022
Data-Driven Estimation of Capacity Upper Bounds
Data-Driven Estimation of Capacity Upper Bounds
Christian Hager
E. Agrell
19
2
0
13 May 2022
Rendering Nighttime Image Via Cascaded Color and Brightness Compensation
Rendering Nighttime Image Via Cascaded Color and Brightness Compensation
Zhihao Li
Si Yi
Zhan Ma
24
2
0
19 Apr 2022
HBReID: Harder Batch for Re-identification
HBReID: Harder Batch for Re-identification
Wenqi Li
Furong Xu
Jianan Zhao
Ruobing Zheng
Cheng Zou
Meng Wang
Yuan Cheng
15
3
0
09 Dec 2021
GB-CosFace: Rethinking Softmax-based Face Recognition from the
  Perspective of Open Set Classification
GB-CosFace: Rethinking Softmax-based Face Recognition from the Perspective of Open Set Classification
Lizhe Liu
Mingqiang Chen
Xiaohao Chen
Siyu Zhu
Ping Tan
CVBM
11
4
0
22 Nov 2021
Adaptive Hierarchical Similarity Metric Learning with Noisy Labels
Adaptive Hierarchical Similarity Metric Learning with Noisy Labels
Jiexi Yan
Lei Luo
Cheng Deng
Heng-Chiao Huang
NoLa
8
17
0
29 Oct 2021
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
37
27
0
01 Oct 2021
A Decidability-Based Loss Function
A Decidability-Based Loss Function
Pedro H. L. Silva
Gladston J. P. Moreira
Vander L. S. Freitas
Rodrigo Silva
David Menotti
Eduardo José da S. Luz
CVBM
22
0
0
12 Sep 2021
Improving Deep Metric Learning by Divide and Conquer
Improving Deep Metric Learning by Divide and Conquer
A. Sanakoyeu
Pingchuan Ma
Vadim Tschernezki
Bjorn Ommer
26
14
0
09 Sep 2021
Recall@k Surrogate Loss with Large Batches and Similarity Mixup
Recall@k Surrogate Loss with Large Batches and Similarity Mixup
Yash J. Patel
Giorgos Tolias
Jirí Matas
VLM
36
54
0
25 Aug 2021
LoOp: Looking for Optimal Hard Negative Embeddings for Deep Metric
  Learning
LoOp: Looking for Optimal Hard Negative Embeddings for Deep Metric Learning
Bhavya Vasudeva
Puneesh Deora
Saumik Bhattacharya
Umapada Pal
S. Chanda
16
15
0
20 Aug 2021
Towards Interpretable Deep Metric Learning with Structural Matching
Towards Interpretable Deep Metric Learning with Structural Matching
Wenliang Zhao
Yongming Rao
Ziyi Wang
Jiwen Lu
Jie Zhou
FedML
13
46
0
12 Aug 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
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
Zahraa Alitbi
Seyed Jalaleddin Mousavirad
FedML
10
6
0
02 Jul 2021
Atlas Based Representation and Metric Learning on Manifolds
Atlas Based Representation and Metric Learning on Manifolds
Eric O. Korman
14
3
0
13 Jun 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
K. Al-Kaabi
R. Monsefi
Davood Zabihzadeh
31
8
0
11 Jun 2021
The Earth Mover's Pinball Loss: Quantiles for Histogram-Valued
  Regression
The Earth Mover's Pinball Loss: Quantiles for Histogram-Valued Regression
Florian List
UQCV
13
4
0
03 Jun 2021
Large-Scale Spatio-Temporal Person Re-identification: Algorithms and
  Benchmark
Large-Scale Spatio-Temporal Person Re-identification: Algorithms and Benchmark
Xiujun Shu
Tianlin Li
Xian Zhang
Shiliang Zhang
Yuanqi Chen
Gezhong Li
Q. Tian
AI4TS
16
71
0
31 May 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
25
38
0
29 Mar 2021
Rethinking Deep Contrastive Learning with Embedding Memory
Rethinking Deep Contrastive Learning with Embedding Memory
Haozhi Zhang
Xun Wang
Weilin Huang
Matthew R. Scott
16
3
0
25 Mar 2021
Pretraining Neural Architecture Search Controllers with Locality-based
  Self-Supervised Learning
Pretraining Neural Architecture Search Controllers with Locality-based Self-Supervised Learning
Kwanghee Choi
Minyoung Choe
Hyelee Lee
SSL
AI4CE
16
1
0
15 Mar 2021
Rethinking the Optimization of Average Precision: Only Penalizing
  Negative Instances before Positive Ones is Enough
Rethinking the Optimization of Average Precision: Only Penalizing Negative Instances before Positive Ones is Enough
Zhu Li
Weiqing Min
Jiajun Song
Yaohui Zhu
Liping Kang
Xiaoming Wei
Xiaolin K. Wei
Shuqiang Jiang
28
10
0
09 Feb 2021
Multi-level Distance Regularization for Deep Metric Learning
Multi-level Distance Regularization for Deep Metric Learning
Y. Kim
Wonpyo Park
16
14
0
08 Feb 2021
A Review of Speaker Diarization: Recent Advances with Deep Learning
A Review of Speaker Diarization: Recent Advances with Deep Learning
Tae Jin Park
Naoyuki Kanda
Dimitrios Dimitriadis
Kyu Jeong Han
Shinji Watanabe
Shrikanth Narayanan
VLM
274
327
0
24 Jan 2021
Learning Portrait Style Representations
Learning Portrait Style Representations
Sadat Shaik
Bernadette Bucher
Nephele Agrafiotis
Stephen Phillips
Kostas Daniilidis
W. Schmenner
16
2
0
08 Dec 2020
Towards Improved and Interpretable Deep Metric Learning via Attentive
  Grouping
Towards Improved and Interpretable Deep Metric Learning via Attentive Grouping
Xinyi Xu
Zhangyang Wang
Cheng Deng
Hao Yuan
Shuiwang Ji
FedML
25
14
0
17 Nov 2020
A New Similarity Space Tailored for Supervised Deep Metric Learning
A New Similarity Space Tailored for Supervised Deep Metric Learning
P. H. Barros
Fabiane Queiroz
Flavio Figueredo
J. A. dos Santos
Heitor S. Ramos
DRL
22
7
0
16 Nov 2020
Deep Metric Learning with Spherical Embedding
Deep Metric Learning with Spherical Embedding
Dingyi Zhang
Yingming Li
Zhongfei Zhang
DML
25
38
0
05 Nov 2020
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