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Deep Metric Learning via Facility Location
v1v2 (latest)

Deep Metric Learning via Facility Location

5 December 2016
Hyun Oh Song
Stefanie Jegelka
V. Rathod
Kevin Patrick Murphy
ArXiv (abs)PDFHTML

Papers citing "Deep Metric Learning via Facility Location"

13 / 13 papers shown
Title
Learning Semantic Proxies from Visual Prompts for Parameter-Efficient
  Fine-Tuning in Deep Metric Learning
Learning Semantic Proxies from Visual Prompts for Parameter-Efficient Fine-Tuning in Deep Metric Learning
Li Ren
Chen Chen
Liqiang Wang
Kien Hua
233
7
0
04 Feb 2024
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
158
15
0
20 Aug 2021
Deep Hashing with Hash-Consistent Large Margin Proxy Embeddings
Deep Hashing with Hash-Consistent Large Margin Proxy EmbeddingsInternational Journal of Computer Vision (IJCV), 2020
Pedro Morgado
Yunsheng Li
José Costa Pereira
M. Saberian
Nuno Vasconcelos
129
6
0
27 Jul 2020
Point Cloud Oversegmentation with Graph-Structured Deep Metric Learning
Point Cloud Oversegmentation with Graph-Structured Deep Metric Learning
Loic Landrieu
Mohamed Boussaha
3DPC
116
159
0
03 Apr 2019
The Importance of Metric Learning for Robotic Vision: Open Set
  Recognition and Active Learning
The Importance of Metric Learning for Robotic Vision: Open Set Recognition and Active LearningIEEE International Conference on Robotics and Automation (ICRA), 2019
Benjamin J. Meyer
Tom Drummond
104
34
0
27 Feb 2019
Low-Shot Learning with Imprinted Weights
Low-Shot Learning with Imprinted Weights
Qi
Matthew A. Brown
D. Lowe
VLM
275
12
0
19 Dec 2017
Deep Metric Learning with Angular Loss
Deep Metric Learning with Angular Loss
Jian Wang
Feng Zhou
Shilei Wen
Xiao-Chang Liu
Yuanqing Lin
DML
253
529
0
04 Aug 2017
cvpaper.challenge in 2016: Futuristic Computer Vision through 1,600
  Papers Survey
cvpaper.challenge in 2016: Futuristic Computer Vision through 1,600 Papers Survey
Hirokatsu Kataoka
Soma Shirakabe
Yun He
S. Ueta
Teppei Suzuki
...
Ryousuke Takasawa
Masataka Fuchida
Yudai Miyashita
Kazushige Okayasu
Yuta Matsuzaki
185
1
0
20 Jul 2017
Few-Shot Learning Through an Information Retrieval Lens
Few-Shot Learning Through an Information Retrieval Lens
Eleni Triantafillou
R. Zemel
R. Urtasun
126
249
0
09 Jul 2017
Sampling Matters in Deep Embedding Learning
Sampling Matters in Deep Embedding Learning
Chaoxia Wu
R. Manmatha
Alex Smola
Philipp Krahenbuhl
254
973
0
23 Jun 2017
Deep Metric Learning and Image Classification with Nearest Neighbour
  Gaussian Kernels
Deep Metric Learning and Image Classification with Nearest Neighbour Gaussian Kernels
Benjamin J. Meyer
Ben Harwood
Tom Drummond
108
9
0
27 May 2017
Smart Mining for Deep Metric Learning
Smart Mining for Deep Metric Learning
Ben Harwood
B. V. Kumar
G. Carneiro
Ian Reid
Tom Drummond
285
364
0
05 Apr 2017
No Fuss Distance Metric Learning using Proxies
No Fuss Distance Metric Learning using Proxies
Yair Movshovitz-Attias
Alexander Toshev
Thomas Leung
Sergey Ioffe
Saurabh Singh
282
674
0
21 Mar 2017
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