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2003.11113
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PADS: Policy-Adapted Sampling for Visual Similarity Learning
Computer Vision and Pattern Recognition (CVPR), 2020
24 March 2020
Karsten Roth
Timo Milbich
Bjorn Ommer
Re-assign community
ArXiv (abs)
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Github (61★)
Papers citing
"PADS: Policy-Adapted Sampling for Visual Similarity Learning"
23 / 23 papers shown
Homeomorphism Prior for False Positive and Negative Problem in Medical Image Dense Contrastive Representation Learning
IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2025
Yuting He
Boyu Wang
Rongjun Ge
Yang Chen
Guanyu Yang
Shuo Li
MedIm
AAML
330
6
0
07 Feb 2025
Anti-Collapse Loss for Deep Metric Learning Based on Coding Rate Metric
XiRuo Jiang
Yazhou Yao
Xili Dai
Fumin Shen
Xian-Sheng Hua
Heng-Tao Shen
271
0
0
03 Jul 2024
Introspective Deep Metric Learning
IEEE 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
Geometric Visual Similarity Learning in 3D Medical Image Self-supervised Pre-training
Computer Vision and Pattern Recognition (CVPR), 2023
Yuting He
Guanyu Yang
Rongjun Ge
Yang Chen
J. Coatrieux
Boyu Wang
Shuo Li
SSL
256
52
0
02 Mar 2023
Self-distillation with Online Diffusion on Batch Manifolds Improves Deep Metric Learning
Zelong Zeng
Fan Yang
Hong Liu
Shiníchi Satoh
230
0
0
14 Nov 2022
Contrastive Bayesian Analysis for Deep Metric Learning
IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2022
Shichao Kan
Zhiquan He
Yigang Cen
Yang Li
Mladenovic Vladimir
Z. He
317
24
0
10 Oct 2022
A Non-isotropic Probabilistic Take on Proxy-based Deep Metric Learning
European Conference on Computer Vision (ECCV), 2022
Michael Kirchhof
Karsten Roth
Zeynep Akata
Enkelejda Kasneci
369
19
0
08 Jul 2022
From
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-SNE to UMAP with contrastive learning
International Conference on Learning Representations (ICLR), 2022
Sebastian Damrich
Jan Niklas Böhm
Fred Hamprecht
D. Kobak
SSL
450
33
0
03 Jun 2022
Introspective Deep Metric Learning for Image Retrieval
Wenzhao Zheng
Cheng-Hao Wang
Jie Zhou
Jiwen Lu
VLM
258
0
0
09 May 2022
Is Fairness Only Metric Deep? Evaluating and Addressing Subgroup Gaps in Deep Metric Learning
International Conference on Learning Representations (ICLR), 2022
Natalie Dullerud
Karsten Roth
Kimia Hamidieh
Nicolas Papernot
Marzyeh Ghassemi
343
16
0
23 Mar 2022
Non-isotropy Regularization for Proxy-based Deep Metric Learning
Computer Vision and Pattern Recognition (CVPR), 2022
Karsten Roth
Oriol Vinyals
Zeynep Akata
341
46
0
16 Mar 2022
Integrating Language Guidance into Vision-based Deep Metric Learning
Computer Vision and Pattern Recognition (CVPR), 2022
Karsten Roth
Oriol Vinyals
Zeynep Akata
VLM
299
33
0
16 Mar 2022
CBIR using Pre-Trained Neural Networks
Agnel Lazar Alappat
Prajwal Nakhate
Sagar Suman
Ambarish Chandurkar
Varad Pimpalkhute
Tapan Jain
VLM
234
1
0
27 Oct 2021
Improving Deep Metric Learning by Divide and Conquer
IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2021
A. Sanakoyeu
Pingchuan Ma
Vadim Tschernezki
Bjorn Ommer
291
17
0
09 Sep 2021
Deep Relational Metric Learning
IEEE International Conference on Computer Vision (ICCV), 2021
Wenzhao Zheng
Borui Zhang
Jiwen Lu
Jie Zhou
304
52
0
23 Aug 2021
Towards Interpretable Deep Metric Learning with Structural Matching
IEEE International Conference on Computer Vision (ICCV), 2021
Wenliang Zhao
Yongming Rao
Ziyi Wang
Jiwen Lu
Jie Zhou
FedML
313
51
0
12 Aug 2021
Characterizing Generalization under Out-Of-Distribution Shifts in Deep Metric Learning
Neural Information Processing Systems (NeurIPS), 2021
Timo Milbich
Karsten Roth
Samarth Sinha
Ludwig Schmidt
Marzyeh Ghassemi
Bjorn Ommer
OOD
OODD
392
24
0
20 Jul 2021
Learning Intra-Batch Connections for Deep Metric Learning
International Conference on Machine Learning (ICML), 2021
Jenny Seidenschwarz
Ismail Elezi
Laura Leal-Taixé
FedML
310
64
0
15 Feb 2021
Multi-level Distance Regularization for Deep Metric Learning
AAAI Conference on Artificial Intelligence (AAAI), 2021
Y. Kim
Wonpyo Park
186
14
0
08 Feb 2021
S2SD: Simultaneous Similarity-based Self-Distillation for Deep Metric Learning
International Conference on Machine Learning (ICML), 2020
Karsten Roth
Timo Milbich
Bjorn Ommer
Joseph Paul Cohen
Marzyeh Ghassemi
FedML
450
16
0
17 Sep 2020
Uniform Priors for Data-Efficient Transfer
Samarth Sinha
Karsten Roth
Anirudh Goyal
Marzyeh Ghassemi
Hugo Larochelle
Animesh Garg
OOD
288
0
0
30 Jun 2020
DiVA: Diverse Visual Feature Aggregation for Deep Metric Learning
European Conference on Computer Vision (ECCV), 2020
Timo Milbich
Karsten Roth
Homanga Bharadhwaj
Samarth Sinha
Yoshua Bengio
Bjorn Ommer
Joseph Paul Cohen
387
75
0
28 Apr 2020
Revisiting Training Strategies and Generalization Performance in Deep Metric Learning
International Conference on Machine Learning (ICML), 2020
Karsten Roth
Timo Milbich
Samarth Sinha
Prateek Gupta
Bjorn Ommer
Joseph Paul Cohen
1.2K
187
0
19 Feb 2020
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