ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 1904.09626
  4. Cited By
Deep Metric Learning Beyond Binary Supervision

Deep Metric Learning Beyond Binary Supervision

21 April 2019
Sungyeon Kim
Minkyo Seo
Ivan Laptev
Minsu Cho
Suha Kwak
    SSL
ArXivPDFHTML

Papers citing "Deep Metric Learning Beyond Binary Supervision"

39 / 39 papers shown
Title
Prompt Augmentation for Self-supervised Text-guided Image Manipulation
Prompt Augmentation for Self-supervised Text-guided Image Manipulation
Rumeysa Bodur
Binod Bhattarai
Tae-Kyun Kim
DiffM
68
2
0
17 Dec 2024
Hierarchical localization with panoramic views and triplet loss
  functions
Hierarchical localization with panoramic views and triplet loss functions
Marcos Alfaro
J. Cabrera
Luis Miguel Jiménez García
Ó. Reinoso
L. Payá
27
2
0
22 Apr 2024
Misalign, Contrast then Distill: Rethinking Misalignments in
  Language-Image Pretraining
Misalign, Contrast then Distill: Rethinking Misalignments in Language-Image Pretraining
Bumsoo Kim
Yeonsik Jo
Jinhyung Kim
S. Kim
VLM
27
7
0
19 Dec 2023
Partial Symmetry Detection for 3D Geometry using Contrastive Learning
  with Geodesic Point Cloud Patches
Partial Symmetry Detection for 3D Geometry using Contrastive Learning with Geodesic Point Cloud Patches
Gregor Kobsik
I. Lim
Leif Kobbelt
3DPC
40
0
0
13 Dec 2023
REBAR: Retrieval-Based Reconstruction for Time-series Contrastive
  Learning
REBAR: Retrieval-Based Reconstruction for Time-series Contrastive Learning
Maxwell A. Xu
Alexander Moreno
Hui Wei
Benjamin M. Marlin
James M. Rehg
AI4TS
SSL
34
11
0
01 Nov 2023
Pairwise Similarity Learning is SimPLE
Pairwise Similarity Learning is SimPLE
Yandong Wen
Weiyang Liu
Yao Feng
Bhiksha Raj
Rita Singh
Adrian Weller
Michael J. Black
Bernhard Schölkopf
33
6
0
13 Oct 2023
Prototype Learning for Explainable Brain Age Prediction
Prototype Learning for Explainable Brain Age Prediction
L. Hesse
Nicola K. Dinsdale
Ana I. L. Namburete
MedIm
25
0
0
16 Jun 2023
Data-efficient Large Scale Place Recognition with Graded Similarity
  Supervision
Data-efficient Large Scale Place Recognition with Graded Similarity Supervision
María Leyva-Vallina
N. Strisciuglio
N. Petkov
21
45
0
21 Mar 2023
HIER: Metric Learning Beyond Class Labels via Hierarchical
  Regularization
HIER: Metric Learning Beyond Class Labels via Hierarchical Regularization
Sungyeon Kim
Boseung Jung
Suha Kwak
25
15
0
29 Dec 2022
Efficient Malware Analysis Using Metric Embeddings
Efficient Malware Analysis Using Metric Embeddings
Ethan M. Rudd
David B. Krisiloff
Scott E. Coull
Daniel Olszewski
Edward Raff
James Holt
AAML
25
6
0
05 Dec 2022
Few-shot Metric Learning: Online Adaptation of Embedding for Retrieval
Few-shot Metric Learning: Online Adaptation of Embedding for Retrieval
Deunsol Jung
Dahyun Kang
Suha Kwak
Minsu Cho
CLL
27
8
0
14 Nov 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
22
7
0
30 Jul 2022
Utilizing Expert Features for Contrastive Learning of Time-Series
  Representations
Utilizing Expert Features for Contrastive Learning of Time-Series Representations
Manuel Nonnenmacher
Lukas Oldenburg
Ingo Steinwart
David Reeb
AI4TS
28
21
0
23 Jun 2022
Self-Taught Metric Learning without Labels
Self-Taught Metric Learning without Labels
Sungyeon Kim
Dongwon Kim
Minsu Cho
Suha Kwak
SSL
21
20
0
04 May 2022
How to Exploit Hyperspherical Embeddings for Out-of-Distribution
  Detection?
How to Exploit Hyperspherical Embeddings for Out-of-Distribution Detection?
Yifei Ming
Yiyou Sun
Ousmane Amadou Dia
Yixuan Li
OODD
26
95
0
08 Mar 2022
Deep Metric Learning-Based Semi-Supervised Regression With Alternate
  Learning
Deep Metric Learning-Based Semi-Supervised Regression With Alternate Learning
Adina Zell
Gencer Sumbul
Begüm Demir
9
2
0
23 Feb 2022
Mold into a Graph: Efficient Bayesian Optimization over Mixed-Spaces
Mold into a Graph: Efficient Bayesian Optimization over Mixed-Spaces
Jaeyeon Ahn
Taehyeon Kim
Seyoung Yun
24
0
0
02 Feb 2022
Ordinal-Quadruplet: Retrieval of Missing Classes in Ordinal Time Series
Ordinal-Quadruplet: Retrieval of Missing Classes in Ordinal Time Series
Jurijs Nazarovs
C. Lumezanu
Qianying Ren
Yuncong Chen
Takehiko Mizoguchi
Dongjin Song
Haifeng Chen
AI4TS
11
0
0
24 Jan 2022
Learning to Generate Novel Classes for Deep Metric Learning
Learning to Generate Novel Classes for Deep Metric Learning
Kyungmoo Lee
Sungyeon Kim
Seunghoon Hong
Suha Kwak
16
1
0
04 Jan 2022
Multi-Head Deep Metric Learning Using Global and Local Representations
Multi-Head Deep Metric Learning Using Global and Local Representations
M. K. Ebrahimpour
Gang Qian
Allison Beach
27
8
0
28 Dec 2021
High-Dimensional Bayesian Optimisation with Variational Autoencoders and
  Deep Metric Learning
High-Dimensional Bayesian Optimisation with Variational Autoencoders and Deep Metric Learning
Antoine Grosnit
Rasul Tutunov
A. Maraval
Ryan-Rhys Griffiths
Alexander I. Cowen-Rivers
...
Wenlong Lyu
Zhitang Chen
Jun Wang
Jan Peters
Haitham Bou-Ammar
BDL
DRL
22
59
0
07 Jun 2021
Informative and Representative Triplet Selection for Multilabel Remote
  Sensing Image Retrieval
Informative and Representative Triplet Selection for Multilabel Remote Sensing Image Retrieval
Gencer Sumbul
Mahdyar Ravanbakhsh
Begüm Demir
19
23
0
08 May 2021
LaLaLoc: Latent Layout Localisation in Dynamic, Unvisited Environments
LaLaLoc: Latent Layout Localisation in Dynamic, Unvisited Environments
Henry Howard-Jenkins
J. Ruiz-Sarmiento
V. Prisacariu
24
18
0
19 Apr 2021
Instance Level Affinity-Based Transfer for Unsupervised Domain
  Adaptation
Instance Level Affinity-Based Transfer for Unsupervised Domain Adaptation
Astuti Sharma
Tarun Kalluri
Manmohan Chandraker
12
48
0
03 Apr 2021
Embedding Transfer with Label Relaxation for Improved Metric Learning
Embedding Transfer with Label Relaxation for Improved Metric Learning
Sungyeon Kim
Dongwon Kim
Minsu Cho
Suha Kwak
27
32
0
27 Mar 2021
On Semantic Similarity in Video Retrieval
On Semantic Similarity in Video Retrieval
Michael Wray
Hazel Doughty
Dima Damen
29
66
0
18 Mar 2021
Generalized Contrastive Optimization of Siamese Networks for Place
  Recognition
Generalized Contrastive Optimization of Siamese Networks for Place Recognition
María Leyva-Vallina
N. Strisciuglio
N. Petkov
10
31
0
11 Mar 2021
Practical Relative Order Attack in Deep Ranking
Practical Relative Order Attack in Deep Ranking
Mo Zhou
Le Wang
Zhenxing Niu
Qilin Zhang
Yinghui Xu
N. Zheng
G. Hua
13
18
0
09 Mar 2021
A Unified Batch Selection Policy for Active Metric Learning
A Unified Batch Selection Policy for Active Metric Learning
Priyadarshini Kumari
S. Chaudhuri
Vivek Borkar
S. Chaudhuri
15
2
0
15 Feb 2021
Structured Visual Search via Composition-aware Learning
Structured Visual Search via Composition-aware Learning
Mert Kilickaya
A. Smeulders
CoGe
17
5
0
27 Oct 2020
Rotation Invariant Aerial Image Retrieval with Group Convolutional
  Metric Learning
Rotation Invariant Aerial Image Retrieval with Group Convolutional Metric Learning
Hyunseung Chung
Woo-Jeoung Nam
Seong-Whan Lee
14
3
0
19 Oct 2020
FILM: A Fast, Interpretable, and Low-rank Metric Learning Approach for
  Sentence Matching
FILM: A Fast, Interpretable, and Low-rank Metric Learning Approach for Sentence Matching
Xiangru Tang
Alan J. Aw
8
0
0
12 Oct 2020
Learning Condition Invariant Features for Retrieval-Based Localization
  from 1M Images
Learning Condition Invariant Features for Retrieval-Based Localization from 1M Images
Janine Thoma
D. Paudel
Ajad Chhatkuli
Luc Van Gool
9
2
0
27 Aug 2020
Emotion-Based End-to-End Matching Between Image and Music in
  Valence-Arousal Space
Emotion-Based End-to-End Matching Between Image and Music in Valence-Arousal Space
Sicheng Zhao
Yaxian Li
Xingxu Yao
Weizhi Nie
Pengfei Xu
Jufeng Yang
Kurt Keutzer
11
29
0
22 Aug 2020
A Generic Visualization Approach for Convolutional Neural Networks
A Generic Visualization Approach for Convolutional Neural Networks
Ahmed Taha
Xitong Yang
Abhinav Shrivastava
L. Davis
23
8
0
19 Jul 2020
Asymmetric metric learning for knowledge transfer
Asymmetric metric learning for knowledge transfer
Mateusz Budnik
Yannis Avrithis
19
35
0
29 Jun 2020
Proxy Anchor Loss for Deep Metric Learning
Proxy Anchor Loss for Deep Metric Learning
Sungyeon Kim
Dongwon Kim
Minsu Cho
Suha Kwak
14
351
0
31 Mar 2020
Adapting Grad-CAM for Embedding Networks
Adapting Grad-CAM for Embedding Networks
Lei Chen
Jianhui Chen
Hossein Hajimirsadeghi
Greg Mori
22
53
0
17 Jan 2020
Instance Cross Entropy for Deep Metric Learning
Instance Cross Entropy for Deep Metric Learning
Xinshao Wang
Elyor Kodirov
Yang Hua
N. Robertson
19
5
0
22 Nov 2019
1