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1611.00822
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Learning Deep Embeddings with Histogram Loss
2 November 2016
E. Ustinova
Victor Lempitsky
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Papers citing
"Learning Deep Embeddings with Histogram Loss"
50 / 159 papers shown
Title
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
Hadush Hailu Gebrerufael
Anil Kumar Tiwari
Gaurav Neupane
Goitom Ybrah Hailu
19
0
0
07 Oct 2024
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
Jiayue Lin
Rebecca Faust
Chris North
20
0
0
07 Aug 2024
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
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
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
Yuchen Pan
Junjun Jiang
Kui Jiang
Zhihao Wu
Keyuan Yu
Xianming Liu
18
0
0
29 Feb 2024
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
Elias Ramzi
Nicolas Audebert
Clément Rambour
André Araujo
Xavier Bitot
Nicolas Thome
23
4
0
15 Sep 2023
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
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
Soroush Hashemifar
Abdolreza Marefat
Javad Hassannataj Joloudari
H. Hassanpour
CVBM
31
11
0
27 Jan 2023
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
Myunghun Jung
Hoi-Rim Kim
6
1
0
26 Oct 2022
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
Peisong Wen
Qianqian Xu
Zhiyong Yang
Yuan He
Qingming Huang
53
10
0
27 Sep 2022
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
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
Lukas Pfahler
K. Morik
SSL
10
4
0
22 Aug 2022
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
Benjamin Hadwiger
Christian Riess
19
3
0
21 Jun 2022
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
Christian Hager
E. Agrell
17
2
0
13 May 2022
Rendering Nighttime Image Via Cascaded Color and Brightness Compensation
Zhihao Li
Si Yi
Zhan Ma
22
2
0
19 Apr 2022
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
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
Jiexi Yan
Lei Luo
Cheng Deng
Heng-Chiao Huang
NoLa
8
17
0
29 Oct 2021
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
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
A. Sanakoyeu
Pingchuan Ma
Vadim Tschernezki
Bjorn Ommer
24
14
0
09 Sep 2021
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
Bhavya Vasudeva
Puneesh Deora
Saumik Bhattacharya
Umapada Pal
S. Chanda
16
15
0
20 Aug 2021
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
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
Davood Zabihzadeh
Zahraa Alitbi
Seyed Jalaleddin Mousavirad
FedML
8
6
0
02 Jul 2021
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
K. Al-Kaabi
R. Monsefi
Davood Zabihzadeh
31
8
0
11 Jun 2021
The Earth Mover's Pinball Loss: Quantiles for Histogram-Valued Regression
Florian List
UQCV
11
4
0
03 Jun 2021
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
12
71
0
31 May 2021
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
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
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
Zhu Li
Weiqing Min
Jiajun Song
Yaohui Zhu
Liping Kang
Xiaoming Wei
Xiaolin K. Wei
Shuqiang Jiang
26
10
0
09 Feb 2021
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
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
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
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
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
Dingyi Zhang
Yingming Li
Zhongfei Zhang
DML
23
38
0
05 Nov 2020
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