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Hardness-Aware Deep Metric Learning

Hardness-Aware Deep Metric Learning

13 March 2019
Wenzhao Zheng
Zhaodong Chen
Jiwen Lu
Jie Zhou
ArXivPDFHTML

Papers citing "Hardness-Aware Deep Metric Learning"

28 / 28 papers shown
Title
Improved Diversity-Promoting Collaborative Metric Learning for
  Recommendation
Improved Diversity-Promoting Collaborative Metric Learning for Recommendation
Shilong Bao
Qianqian Xu
Zhiyong Yang
Yuan He
Xiaochun Cao
Qingming Huang
45
5
0
02 Sep 2024
Relational Representation Learning Network for Cross-Spectral Image Patch Matching
Relational Representation Learning Network for Cross-Spectral Image Patch Matching
Chuan Yu
Yunpeng Liu
Jinmiao Zhao
Dou Quan
Zelin Shi
Xiangyu Yue
ViT
39
0
0
18 Mar 2024
Enhancing Contrastive Learning with Efficient Combinatorial Positive
  Pairing
Enhancing Contrastive Learning with Efficient Combinatorial Positive Pairing
Jaeill Kim
Duhun Hwang
Eunjung Lee
Jangwon Suh
Jimyeong Kim
Wonjong Rhee
30
0
0
11 Jan 2024
Improving Intrusion Detection with Domain-Invariant Representation
  Learning in Latent Space
Improving Intrusion Detection with Domain-Invariant Representation Learning in Latent Space
Padmaksha Roy
Tyler Cody
Himanshu Singhal
Kevin Choi
Ming Jin
OOD
24
1
0
28 Dec 2023
RC3: Regularized Contrastive Cross-lingual Cross-modal Pre-training
RC3: Regularized Contrastive Cross-lingual Cross-modal Pre-training
Chulun Zhou
Yunlong Liang
Fandong Meng
Jinan Xu
Jinsong Su
Jie Zhou
VLM
23
4
0
13 May 2023
Intra-class Adaptive Augmentation with Neighbor Correction for Deep
  Metric Learning
Intra-class Adaptive Augmentation with Neighbor Correction for Deep Metric Learning
Zheren Fu
Zhendong Mao
Bo Hu
An-an Liu
Yongdong Zhang
23
5
0
29 Nov 2022
Deep Metric Learning with Chance Constraints
Deep Metric Learning with Chance Constraints
Y. Z. Gürbüz
Ogul Can
Aydin Alatan
19
2
0
19 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
Learning to Generalize to More: Continuous Semantic Augmentation for
  Neural Machine Translation
Learning to Generalize to More: Continuous Semantic Augmentation for Neural Machine Translation
Xiangpeng Wei
Heng Yu
Yue Hu
Rongxiang Weng
Weihua Luo
Jun Xie
Rong Jin
CLL
15
24
0
14 Apr 2022
Attributable Visual Similarity Learning
Attributable Visual Similarity Learning
Borui Zhang
Wenzhao Zheng
Jie Zhou
Jiwen Lu
19
17
0
28 Mar 2022
Is Fairness Only Metric Deep? Evaluating and Addressing Subgroup Gaps in
  Deep Metric Learning
Is Fairness Only Metric Deep? Evaluating and Addressing Subgroup Gaps in Deep Metric Learning
Natalie Dullerud
Karsten Roth
Kimia Hamidieh
Nicolas Papernot
Marzyeh Ghassemi
24
15
0
23 Mar 2022
Non-isotropy Regularization for Proxy-based Deep Metric Learning
Non-isotropy Regularization for Proxy-based Deep Metric Learning
Karsten Roth
Oriol Vinyals
Zeynep Akata
19
36
0
16 Mar 2022
Improving Deep Metric Learning by Divide and Conquer
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
Recall@k Surrogate Loss with Large Batches and Similarity Mixup
Yash J. Patel
Giorgos Tolias
Jirí Matas
VLM
28
54
0
25 Aug 2021
Cooperative Training and Latent Space Data Augmentation for Robust
  Medical Image Segmentation
Cooperative Training and Latent Space Data Augmentation for Robust Medical Image Segmentation
C. L. P. Chen
Kerstin Hammernik
C. Ouyang
C. Qin
Wenjia Bai
Daniel Rueckert
OOD
17
20
0
02 Jul 2021
A Primer on Pretrained Multilingual Language Models
A Primer on Pretrained Multilingual Language Models
Sumanth Doddapaneni
Gowtham Ramesh
Mitesh M. Khapra
Anoop Kunchukuttan
Pratyush Kumar
LRM
43
73
0
01 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
K. Al-Kaabi
R. Monsefi
Davood Zabihzadeh
28
8
0
11 Jun 2021
Proxy Synthesis: Learning with Synthetic Classes for Deep Metric
  Learning
Proxy Synthesis: Learning with Synthetic Classes for Deep Metric Learning
Geonmo Gu
ByungSoo Ko
Han-Gyu Kim
19
36
0
29 Mar 2021
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
19
14
0
17 Nov 2020
Hard Negative Mixing for Contrastive Learning
Hard Negative Mixing for Contrastive Learning
Yannis Kalantidis
Mert Bulent Sariyildiz
Noé Pion
Philippe Weinzaepfel
Diane Larlus
SSL
29
628
0
02 Oct 2020
Efficient Deep Representation Learning by Adaptive Latent Space Sampling
Efficient Deep Representation Learning by Adaptive Latent Space Sampling
Yuanhan Mo
Shuo Wang
Chengliang Dai
Rui Zhou
Z. Teng
Wenjia Bai
Yike Guo
27
0
0
19 Mar 2020
A Metric Learning Reality Check
A Metric Learning Reality Check
Kevin Musgrave
Serge J. Belongie
Ser-Nam Lim
36
474
0
18 Mar 2020
Informative Sample Mining Network for Multi-Domain Image-to-Image
  Translation
Informative Sample Mining Network for Multi-Domain Image-to-Image Translation
Jie Cao
Huaibo Huang
Yi Li
R. He
Zhenan Sun
18
7
0
05 Jan 2020
Fashion Outfit Complementary Item Retrieval
Fashion Outfit Complementary Item Retrieval
Yen-Liang Lin
Son N. Tran
Larry S. Davis
8
84
0
19 Dec 2019
A Probabilistic approach for Learning Embeddings without Supervision
A Probabilistic approach for Learning Embeddings without Supervision
U. Dutta
Mehrtash Harandi
C. Sekhar
SSL
30
0
0
17 Dec 2019
Recognition of Images of Korean Characters Using Embedded Networks
Recognition of Images of Korean Characters Using Embedded Networks
S. Ilyuhin
A. Sheshkus
Vladimir L. Arlazarov
8
12
0
11 Nov 2019
Imbalance Problems in Object Detection: A Review
Imbalance Problems in Object Detection: A Review
Kemal Oksuz
Baris Can Cam
Sinan Kalkan
Emre Akbas
ObjD
16
458
0
31 Aug 2019
Metric Learning With HORDE: High-Order Regularizer for Deep Embeddings
Metric Learning With HORDE: High-Order Regularizer for Deep Embeddings
Pierre Jacob
David Picard
A. Histace
Edouard Klein
DML
22
59
0
07 Aug 2019
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