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GATCluster: Self-Supervised Gaussian-Attention Network for Image
  Clustering
v1v2 (latest)

GATCluster: Self-Supervised Gaussian-Attention Network for Image Clustering

European Conference on Computer Vision (ECCV), 2020
27 February 2020
Chuang Niu
Jun Zhang
Ge Wang
Jimin Liang
    SSL
ArXiv (abs)PDFHTMLGithub (18★)

Papers citing "GATCluster: Self-Supervised Gaussian-Attention Network for Image Clustering"

26 / 26 papers shown
ProtoAnomalyNCD: Prototype Learning for Multi-class Novel Anomaly Discovery in Industrial Scenarios
ProtoAnomalyNCD: Prototype Learning for Multi-class Novel Anomaly Discovery in Industrial Scenarios
Botong Zhao
Qijun Shi
Shujing Lyu
Yue Lu
274
0
0
17 Nov 2025
AnomalyNCD: Towards Novel Anomaly Class Discovery in Industrial Scenarios
AnomalyNCD: Towards Novel Anomaly Class Discovery in Industrial ScenariosComputer Vision and Pattern Recognition (CVPR), 2024
Ziming Huang
Xurui Li
Haotian Liu
Feng Xue
Yuzhe Wang
Yu Zhou
436
9
0
18 Oct 2024
Blind Localization and Clustering of Anomalies in Textures
Blind Localization and Clustering of Anomalies in Textures
Andrei-Timotei Ardelean
Tim Weyrich
296
8
0
18 Apr 2024
Deep Embedding Clustering Driven by Sample Stability
Deep Embedding Clustering Driven by Sample StabilityInternational Joint Conference on Artificial Intelligence (IJCAI), 2024
Zhanwen Cheng
Feijiang Li
Jieting Wang
Yuhua Qian
319
6
0
29 Jan 2024
DivClust: Controlling Diversity in Deep Clustering
DivClust: Controlling Diversity in Deep ClusteringComputer Vision and Pattern Recognition (CVPR), 2023
Ioannis Maniadis Metaxas
Georgios Tzimiropoulos
Ioannis Patras
340
32
0
03 Apr 2023
Heterogeneous Tri-stream Clustering Network
Heterogeneous Tri-stream Clustering NetworkNeural Processing Letters (NPL), 2023
Xiao-Xue Deng
Dong Huang
Chang-Dong Wang
229
11
0
11 Jan 2023
C3: Cross-instance guided Contrastive Clustering
C3: Cross-instance guided Contrastive ClusteringBritish Machine Vision Conference (BMVC), 2022
M. Sadeghi
H. Hojjati
Narges Armanfard
817
16
0
14 Nov 2022
SensorSCAN: Self-Supervised Learning and Deep Clustering for Fault
  Diagnosis in Chemical Processes
SensorSCAN: Self-Supervised Learning and Deep Clustering for Fault Diagnosis in Chemical ProcessesArtificial Intelligence (AIJ), 2022
Maksim Golyadkin
Vitaliy Pozdnyakov
L. Zhukov
Ilya Makarov
243
14
0
17 Aug 2022
Deep Image Clustering with Contrastive Learning and Multi-scale Graph
  Convolutional Networks
Deep Image Clustering with Contrastive Learning and Multi-scale Graph Convolutional NetworksPattern Recognition (Pattern Recogn.), 2022
Yuan Xu
Dong Huang
Changdong Wang
Jianhuang Lai
SSL
293
36
0
14 Jul 2022
A Comprehensive Survey on Deep Clustering: Taxonomy, Challenges, and
  Future Directions
A Comprehensive Survey on Deep Clustering: Taxonomy, Challenges, and Future DirectionsACM Computing Surveys (ACM CSUR), 2022
Sheng Zhou
Hongjia Xu
Zhuonan Zheng
Jiawei Chen
Zhao Li
Jiajun Bu
Jia Wu
Xin Eric Wang
Wenwu Zhu
Martin Ester
291
176
0
15 Jun 2022
Strongly Augmented Contrastive Clustering
Strongly Augmented Contrastive ClusteringPattern Recognition (Pattern Recogn.), 2022
Xiao-Xue Deng
Dong Huang
Dingfan Chen
Changdong Wang
Jianhuang Lai
349
90
0
01 Jun 2022
Unsupervised Contrastive Learning based Transformer for Lung Nodule
  Detection
Unsupervised Contrastive Learning based Transformer for Lung Nodule DetectionPhysics in Medicine and Biology (PMB), 2022
Chuang Niu
Ge Wang
ViTMedIm
253
46
0
30 Apr 2022
Visual Attention Methods in Deep Learning: An In-Depth Survey
Visual Attention Methods in Deep Learning: An In-Depth SurveyInformation Fusion (Inf. Fusion), 2022
Mohammed Hassanin
Saeed Anwar
Ibrahim Radwan
Fahad Shahbaz Khan
Lin Wang
456
274
0
16 Apr 2022
Anomaly Clustering: Grouping Images into Coherent Clusters of Anomaly
  Types
Anomaly Clustering: Grouping Images into Coherent Clusters of Anomaly TypesIEEE Workshop/Winter Conference on Applications of Computer Vision (WACV), 2021
Kihyuk Sohn
Chang Jo Kim
Chun-Liang Li
Chen-Yu Lee
Tomas Pfister
242
24
0
21 Dec 2021
Multi-domain Integrative Swin Transformer network for Sparse-View
  Tomographic Reconstruction
Multi-domain Integrative Swin Transformer network for Sparse-View Tomographic Reconstruction
Jiayi Pan
Heye Zhang
Weifei Wu
Zijian Gao
Weiwen Wu
416
77
0
28 Nov 2021
Learning Representation for Clustering via Prototype Scattering and
  Positive Sampling
Learning Representation for Clustering via Prototype Scattering and Positive Sampling
Zhizhong Huang
Jie Chen
Junping Zhang
Hongming Shan
217
141
0
23 Nov 2021
Dense Semantic Contrast for Self-Supervised Visual Representation
  Learning
Dense Semantic Contrast for Self-Supervised Visual Representation Learning
Xiaoni Li
Can Ma
Yifei Zhang
Aoting Zhang
Wei Wang
Ning Jiang
Haiying Wu
Weiping Wang
SSL
252
45
0
16 Sep 2021
You Never Cluster Alone
You Never Cluster AloneNeural Information Processing Systems (NeurIPS), 2021
Yuming Shen
Ziyi Shen
Menghan Wang
Jie Qin
Juil Sock
Ling Shao
SSL
398
60
0
03 Jun 2021
MiCE: Mixture of Contrastive Experts for Unsupervised Image Clustering
MiCE: Mixture of Contrastive Experts for Unsupervised Image ClusteringInternational Conference on Learning Representations (ICLR), 2021
Tsung Wei Tsai
Chongxuan Li
Jun Zhu
332
81
0
05 May 2021
Representation Learning for Clustering via Building Consensus
Representation Learning for Clustering via Building ConsensusMachine-mediated learning (ML), 2021
A. Deshmukh
Jayanth Reddy Regatti
Eren Manavoglu
Ürün Dogan
SSL
234
9
0
04 May 2021
Dataset Summarization by K Principal Concepts
Dataset Summarization by K Principal Concepts
Niv Cohen
Yedid Hoshen
263
1
0
08 Apr 2021
SPICE: Semantic Pseudo-labeling for Image Clustering
SPICE: Semantic Pseudo-labeling for Image ClusteringIEEE Transactions on Image Processing (TIP), 2021
Chuang Niu
Hongming Shan
Ge Wang
VLM
867
202
0
17 Mar 2021
Deep Clustering by Semantic Contrastive Learning
Deep Clustering by Semantic Contrastive LearningBritish Machine Vision Conference (BMVC), 2021
Jiabo Huang
S. Gong
319
19
0
03 Mar 2021
Image Clustering using an Augmented Generative Adversarial Network and
  Information Maximization
Image Clustering using an Augmented Generative Adversarial Network and Information Maximization
Foivos Ntelemis
Yaochu Jin
S. Thomas
GAN
207
16
0
08 Nov 2020
Consensus Clustering With Unsupervised Representation Learning
Consensus Clustering With Unsupervised Representation LearningIEEE International Joint Conference on Neural Network (IJCNN), 2020
Jayanth Reddy Regatti
A. Deshmukh
Eren Manavoglu
Ürün Dogan
OODSSL
379
21
0
03 Oct 2020
Low-dimensional Manifold Constrained Disentanglement Network for Metal
  Artifact Reduction
Low-dimensional Manifold Constrained Disentanglement Network for Metal Artifact ReductionIEEE Transactions on Radiation and Plasma Medical Sciences (TRPMS), 2020
Chuang Niu
W. Cong
Fenglei Fan
Hongming Shan
Mengzhou Li
Jimin Liang
Ge Wang
178
31
0
08 Jul 2020
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