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Efficient Diffusion on Region Manifolds: Recovering Small Objects with
  Compact CNN Representations
v1v2v3 (latest)

Efficient Diffusion on Region Manifolds: Recovering Small Objects with Compact CNN Representations

16 November 2016
Ahmet Iscen
Giorgos Tolias
Yannis Avrithis
Teddy Furon
Ondřej Chum
    DiffM
ArXiv (abs)PDFHTML

Papers citing "Efficient Diffusion on Region Manifolds: Recovering Small Objects with Compact CNN Representations"

50 / 89 papers shown
Title
Locality Preserving Markovian Transition for Instance Retrieval
Jifei Luo
Wenzheng Wu
Hantao Yao
Lu Yu
Changsheng Xu
143
0
0
05 Jun 2025
SORCE: Small Object Retrieval in Complex Environments
SORCE: Small Object Retrieval in Complex Environments
Chunxu Liu
Chi Xie
X. Chen
Wei Li
Feng Zhu
Rui Zhao
Limin Wang
76
0
0
30 May 2025
LPOSS: Label Propagation Over Patches and Pixels for Open-vocabulary Semantic Segmentation
LPOSS: Label Propagation Over Patches and Pixels for Open-vocabulary Semantic Segmentation
Vladan Stojnić
Yannis Kalantidis
Jirí Matas
Giorgos Tolias
VLM
203
2
0
25 Mar 2025
Find your Needle: Small Object Image Retrieval via Multi-Object Attention Optimization
Find your Needle: Small Object Image Retrieval via Multi-Object Attention Optimization
Mihcael Green
Matan Levy
Issar Tzachor
Dvir Samuel
N. Darshan
Rami Ben-Ari
159
0
0
10 Mar 2025
Enhancing Visual Re-ranking through Denoising Nearest Neighbor Graph via Continuous CRF
Enhancing Visual Re-ranking through Denoising Nearest Neighbor Graph via Continuous CRF
JaeYoon Kim
Y. Cho
Taeyong Kim
Sung-eui Yoon
175
0
0
18 Dec 2024
Congestion Forecast for Trains with Railroad-Graph-based Semi-Supervised
  Learning using Sparse Passenger Reports
Congestion Forecast for Trains with Railroad-Graph-based Semi-Supervised Learning using Sparse Passenger Reports
Soto Anno
Kota Tsubouchi
Masamichi Shimosaka
AI4TS
52
0
0
23 Oct 2024
AMES: Asymmetric and Memory-Efficient Similarity Estimation for
  Instance-level Retrieval
AMES: Asymmetric and Memory-Efficient Similarity Estimation for Instance-level Retrieval
Pavel Suma
Giorgos Kordopatis-Zilos
Ahmet Iscen
Giorgos Tolias
VLM
127
6
0
06 Aug 2024
Accurate and Fast Pixel Retrieval with Spatial and Uncertainty Aware
  Hypergraph Diffusion
Accurate and Fast Pixel Retrieval with Spatial and Uncertainty Aware Hypergraph Diffusion
G. An
Yuchi Huo
Sung-eui Yoon
156
0
0
17 Jun 2024
Cluster-Aware Similarity Diffusion for Instance Retrieval
Cluster-Aware Similarity Diffusion for Instance Retrieval
Jifei Luo
Hantao Yao
Changsheng Xu
227
1
0
04 Jun 2024
Get Your Embedding Space in Order: Domain-Adaptive Regression for Forest
  Monitoring
Get Your Embedding Space in Order: Domain-Adaptive Regression for Forest Monitoring
Sizhuo Li
Dimitri Gominski
Martin Brandt
X. Tong
P. Ciais
98
0
0
01 May 2024
Random Walk on Pixel Manifolds for Anomaly Segmentation of Complex
  Driving Scenes
Random Walk on Pixel Manifolds for Anomaly Segmentation of Complex Driving Scenes
Zelong Zeng
Kaname Tomite
111
1
0
27 Apr 2024
Label Propagation for Zero-shot Classification with Vision-Language
  Models
Label Propagation for Zero-shot Classification with Vision-Language Models
Vladan Stojnić
Yannis Kalantidis
Giorgos Tolias
VLM
118
23
0
05 Apr 2024
ROG$_{PL}$: Robust Open-Set Graph Learning via Region-Based Prototype
  Learning
ROGPL_{PL}PL​: Robust Open-Set Graph Learning via Region-Based Prototype Learning
Qin Zhang
Xiaowei Li
Jiexin Lu
Liping Qiu
Shirui Pan
Xiaojun Chen
Junyang Chen
145
1
0
28 Feb 2024
A Diffusion Weighted Graph Framework for New Intent Discovery
A Diffusion Weighted Graph Framework for New Intent Discovery
Wenkai Shi
Wenbin An
Feng Tian
Qinghua Zheng
Qianying Wang
Ping Chen
DiffM
93
11
0
24 Oct 2023
Keep It SimPool: Who Said Supervised Transformers Suffer from Attention
  Deficit?
Keep It SimPool: Who Said Supervised Transformers Suffer from Attention Deficit?
Bill Psomas
Ioannis Kakogeorgiou
Konstantinos Karantzalos
Yannis Avrithis
ViT
116
11
0
13 Sep 2023
Hyperbolic Deep Learning in Computer Vision: A Survey
Hyperbolic Deep Learning in Computer Vision: A Survey
Pascal Mettes
Mina Ghadimi Atigh
Martin Keller-Ressel
Jeffrey Gu
Serena Yeung
172
62
0
11 May 2023
Deep Partial Multi-Label Learning with Graph Disambiguation
Deep Partial Multi-Label Learning with Graph Disambiguation
Haobo Wang
Shisong Yang
Gengyu Lyu
Weiwei Liu
Tianlei Hu
Ke Chen
Songhe Feng
Gang Chen
97
12
0
10 May 2023
Learnable Pillar-based Re-ranking for Image-Text Retrieval
Learnable Pillar-based Re-ranking for Image-Text Retrieval
Leigang Qu
Meng Liu
Wenjie Wang
Zhedong Zheng
Liqiang Nie
Tat-Seng Chua
VLM
81
18
0
25 Apr 2023
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
93
7
0
24 Apr 2023
If At First You Don't Succeed: Test Time Re-ranking for Zero-shot, Cross-domain Retrieval
If At First You Don't Succeed: Test Time Re-ranking for Zero-shot, Cross-domain Retrieval
Finlay G. C. Hudson
W. Smith
ViT
208
2
0
30 Mar 2023
Self-distillation with Online Diffusion on Batch Manifolds Improves Deep
  Metric Learning
Self-distillation with Online Diffusion on Batch Manifolds Improves Deep Metric Learning
Zelong Zeng
Fan Yang
Hong Liu
Shiníchi Satoh
123
0
0
14 Nov 2022
Boosting vision transformers for image retrieval
Boosting vision transformers for image retrieval
Chull Hwan Song
Jooyoung Yoon
Shunghyun Choi
Yannis Avrithis
ViT
173
35
0
21 Oct 2022
Spectral Geometric Verification: Re-Ranking Point Cloud Retrieval for
  Metric Localization
Spectral Geometric Verification: Re-Ranking Point Cloud Retrieval for Metric Localization
Kavisha Vidanapathirana
Peyman Moghadam
Sridha Sridharan
Clinton Fookes
3DPC
121
30
0
10 Oct 2022
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
75
0
0
12 Aug 2022
Towards Harnessing Feature Embedding for Robust Learning with Noisy
  Labels
Towards Harnessing Feature Embedding for Robust Learning with Noisy Labels
Chuang Zhang
Li Shen
Jian Yang
Chen Gong
NoLa
114
5
0
27 Jun 2022
Asymmetric Transfer Hashing with Adaptive Bipartite Graph Learning
Asymmetric Transfer Hashing with Adaptive Bipartite Graph Learning
Jianglin Lu
Jie Zhou
Yudong Chen
Witold Pedrycz
Kwok-Wai Hung
140
7
0
25 Jun 2022
Contrastive Multi-view Hyperbolic Hierarchical Clustering
Contrastive Multi-view Hyperbolic Hierarchical Clustering
Fang-Yu Lin
Bing Bai
Kun Bai
Yazhou Ren
Peng Zhao
Zenglin Xu
82
39
0
05 May 2022
Correlation Verification for Image Retrieval
Correlation Verification for Image Retrieval
Seongwon Lee
Hongje Seong
Suhyeon Lee
Euntai Kim
124
56
0
04 Apr 2022
Part-based Pseudo Label Refinement for Unsupervised Person
  Re-identification
Part-based Pseudo Label Refinement for Unsupervised Person Re-identification
Y. Cho
Woo Jae Kim
Seunghoon Hong
Sung-eui Yoon
139
192
0
28 Mar 2022
Learning with Neighbor Consistency for Noisy Labels
Learning with Neighbor Consistency for Noisy Labels
Ahmet Iscen
Jack Valmadre
Anurag Arnab
Cordelia Schmid
NoLa
176
82
0
04 Feb 2022
Indicative Image Retrieval: Turning Blackbox Learning into Grey
Indicative Image Retrieval: Turning Blackbox Learning into Grey
Xu-Lu Zhang
Zhen-Qun Yang
Hao Tian
Qing Li
Xiaoyong Wei
VLM
64
1
0
28 Jan 2022
Learning Query Expansion over the Nearest Neighbor Graph
Learning Query Expansion over the Nearest Neighbor Graph
Benjamin Klein
Lior Wolf
71
1
0
05 Dec 2021
InsCLR: Improving Instance Retrieval with Self-Supervision
InsCLR: Improving Instance Retrieval with Self-Supervision
Zelu Deng
Yujie Zhong
Sheng Guo
Weilin Huang
128
15
0
02 Dec 2021
Contextual Similarity Aggregation with Self-attention for Visual
  Re-ranking
Contextual Similarity Aggregation with Self-attention for Visual Re-ranking
Jianbo Ouyang
Hui Wu
Min Wang
Wen-gang Zhou
Houqiang Li
85
20
0
26 Oct 2021
TLDR: Twin Learning for Dimensionality Reduction
TLDR: Twin Learning for Dimensionality Reduction
Yannis Kalantidis
Carlos Lassance
Jon Almazán
Diane Larlus
SSL
135
12
0
18 Oct 2021
DOLG: Single-Stage Image Retrieval with Deep Orthogonal Fusion of Local
  and Global Features
DOLG: Single-Stage Image Retrieval with Deep Orthogonal Fusion of Local and Global Features
Min Yang
Dongliang He
M. Fan
Baorong Shi
Xuetong Xue
Fu Li
Errui Ding
Jizhou Huang
177
106
0
06 Aug 2021
All the attention you need: Global-local, spatial-channel attention for
  image retrieval
All the attention you need: Global-local, spatial-channel attention for image retrieval
Chull Hwan Song
Hye Joo Han
Yannis Avrithis
158
50
0
16 Jul 2021
Towards Accurate Localization by Instance Search
Towards Accurate Localization by Instance Search
Yi-Geng Hong
Hui-Chu Xiao
Wanlei Zhao
ObjD
90
4
0
11 Jul 2021
Evaluating Contrastive Models for Instance-based Image Retrieval
Evaluating Contrastive Models for Instance-based Image Retrieval
Tarun Krishna
Kevin McGuinness
Noel E. O'Connor
67
5
0
30 Apr 2021
Instance-level Image Retrieval using Reranking Transformers
Instance-level Image Retrieval using Reranking Transformers
Fuwen Tan
Jiangbo Yuan
Vicente Ordonez
ViT
257
100
0
22 Mar 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
Tianpeng Liu
M. Lew
VLM
262
169
0
27 Jan 2021
Local Propagation for Few-Shot Learning
Local Propagation for Few-Shot Learning
Yann Lifchitz
Yannis Avrithis
Sylvaine Picard
137
9
0
05 Jan 2021
Unsupervised Deep Metric Learning via Orthogonality based Probabilistic
  Loss
Unsupervised Deep Metric Learning via Orthogonality based Probabilistic Loss
U. Dutta
Mehrtash Harandi
C. Sekhar
SSL
66
16
0
22 Aug 2020
Reliable Label Bootstrapping for Semi-Supervised Learning
Reliable Label Bootstrapping for Semi-Supervised Learning
Paul Albert
Diego Ortego
Eric Arazo
Noel E. O'Connor
Kevin McGuinness
SSL
91
5
0
23 Jul 2020
Attention-Based Query Expansion Learning
Attention-Based Query Expansion LearningEuropean Conference on Computer Vision (ECCV), 2025
Albert Gordo
Filip Radenovic
Tamara L. Berg
92
35
0
15 Jul 2020
Label Propagation with Augmented Anchors: A Simple Semi-Supervised
  Learning baseline for Unsupervised Domain Adaptation
Label Propagation with Augmented Anchors: A Simple Semi-Supervised Learning baseline for Unsupervised Domain Adaptation
Yabin Zhang
Bin Deng
Kui Jia
Lei Zhang
114
71
0
15 Jul 2020
Dual Embedding Expansion for Vehicle Re-identification
Dual Embedding Expansion for Vehicle Re-identification
Clint Sebastian
Raffaele Imbriaco
Egor Bondarev
Peter H. N. de With
94
9
0
18 Apr 2020
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
146
31
0
25 Mar 2020
OS2D: One-Stage One-Shot Object Detection by Matching Anchor Features
OS2D: One-Stage One-Shot Object Detection by Matching Anchor Features
A. Osokin
Denis Sumin
V. Lomakin
ObjD
296
59
0
15 Mar 2020
Constrained Dominant sets and Its applications in computer vision
Constrained Dominant sets and Its applications in computer vision
A. Tesfaye
97
2
0
12 Feb 2020
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