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Fast Spectral Ranking for Similarity Search

Fast Spectral Ranking for Similarity Search

20 March 2017
Ahmet Iscen
Yannis Avrithis
Giorgos Tolias
Teddy Furon
Ondřej Chum
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Papers citing "Fast Spectral Ranking for Similarity Search"

10 / 10 papers shown
Title
Cluster-Aware Similarity Diffusion for Instance Retrieval
Cluster-Aware Similarity Diffusion for Instance Retrieval
Jifei Luo
Hantao Yao
Changsheng Xu
30
0
0
04 Jun 2024
Rank Flow Embedding for Unsupervised and Semi-Supervised Manifold
  Learning
Rank Flow Embedding for Unsupervised and Semi-Supervised Manifold Learning
L. P. Valem
Daniel Carlos Guimarães Pedronette
Longin Jan Latecki
21
5
0
24 Apr 2023
Instance Image Retrieval by Learning Purely From Within the Dataset
Instance Image Retrieval by Learning Purely From Within the Dataset
Zhongyan Zhang
Lei Wang
Yang Wang
Luping Zhou
Jianjia Zhang
Peng Wang
Fangxiao Chen
SSL
26
0
0
12 Aug 2022
Learning Query Expansion over the Nearest Neighbor Graph
Learning Query Expansion over the Nearest Neighbor Graph
Benjamin Klein
Lior Wolf
27
1
0
05 Dec 2021
TLDR: Twin Learning for Dimensionality Reduction
TLDR: Twin Learning for Dimensionality Reduction
Yannis Kalantidis
Carlos Lassance
Jon Almazán
Diane Larlus
SSL
27
10
0
18 Oct 2021
Deep Learning for Instance Retrieval: A Survey
Deep Learning for Instance Retrieval: A Survey
Wei Chen
Yu Liu
Weiping Wang
E. Bakker
Theodoros Georgiou
Paul Fieguth
Li Liu
M. Lew
VLM
13
145
0
27 Jan 2021
Two-stage Discriminative Re-ranking for Large-scale Landmark Retrieval
Two-stage Discriminative Re-ranking for Large-scale Landmark Retrieval
Shuhei Yokoo
Kohei Ozaki
E. Simo-Serra
S. Iizuka
22
31
0
25 Mar 2020
Revisiting Oxford and Paris: Large-Scale Image Retrieval Benchmarking
Revisiting Oxford and Paris: Large-Scale Image Retrieval Benchmarking
Filip Radenovic
Ahmet Iscen
Giorgos Tolias
Yannis Avrithis
Ondřej Chum
21
372
0
29 Mar 2018
Geometric deep learning on graphs and manifolds using mixture model CNNs
Geometric deep learning on graphs and manifolds using mixture model CNNs
Federico Monti
Davide Boscaini
Jonathan Masci
Emanuele Rodolà
Jan Svoboda
M. Bronstein
GNN
263
1,812
0
25 Nov 2016
Geometric deep learning: going beyond Euclidean data
Geometric deep learning: going beyond Euclidean data
M. Bronstein
Joan Bruna
Yann LeCun
Arthur Szlam
P. Vandergheynst
GNN
264
3,243
0
24 Nov 2016
1