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Mask-informed Deep Contrastive Incomplete Multi-view Clustering
v1v2 (latest)

Mask-informed Deep Contrastive Incomplete Multi-view Clustering

4 February 2025
Zhenglai Li
Yuqi Shi
Xiao He
Chang-Fu Tang
ArXiv (abs)PDFHTML

Papers citing "Mask-informed Deep Contrastive Incomplete Multi-view Clustering"

29 / 29 papers shown
Title
Look Twice Before You Answer: Memory-Space Visual Retracing for Hallucination Mitigation in Multimodal Large Language Models
Look Twice Before You Answer: Memory-Space Visual Retracing for Hallucination Mitigation in Multimodal Large Language Models
Xin Zou
Yizhou Wang
Yibo Yan
Yuanhuiyi Lyu
Kening Zheng
...
Junkai Chen
Peijie Jiang
Qingbin Liu
Chang Tang
Xuming Hu
352
23
0
04 Oct 2024
MVBench: A Comprehensive Multi-modal Video Understanding Benchmark
MVBench: A Comprehensive Multi-modal Video Understanding BenchmarkComputer Vision and Pattern Recognition (CVPR), 2023
Kunchang Li
Yali Wang
Yinan He
Yizhuo Li
Yi Wang
...
Jilan Xu
Guo Chen
Ping Luo
Limin Wang
Yu Qiao
VLMMLLM
530
802
0
28 Nov 2023
Manifold learning: what, how, and why
Manifold learning: what, how, and whyAnnual Review of Statistics and Its Application (ARSIA), 2023
M. Meilă
Hanyu Zhang
170
97
0
07 Nov 2023
GCFAgg: Global and Cross-view Feature Aggregation for Multi-view
  Clustering
GCFAgg: Global and Cross-view Feature Aggregation for Multi-view ClusteringComputer Vision and Pattern Recognition (CVPR), 2023
Weiqing Yan
Yuanyang Zhang
Chenlei Lv
Chang Tang
Guanghui Yue
Liang Liao
Weisi Lin
129
110
0
11 May 2023
Deep Multiview Clustering by Contrasting Cluster Assignments
Deep Multiview Clustering by Contrasting Cluster AssignmentsIEEE International Conference on Computer Vision (ICCV), 2023
Jing Chen
Hua Mao
Wai Lok Woo
Xi Peng
258
104
0
21 Apr 2023
Investigating and Mitigating the Side Effects of Noisy Views for
  Self-Supervised Clustering Algorithms in Practical Multi-View Scenarios
Investigating and Mitigating the Side Effects of Noisy Views for Self-Supervised Clustering Algorithms in Practical Multi-View ScenariosComputer Vision and Pattern Recognition (CVPR), 2023
Jie Xu
Yazhou Ren
Xiaolong Wang
Lei Feng
Zheng Zhang
Gang Niu
Xiao-lan Zhu
262
33
0
30 Mar 2023
Deep Incomplete Multi-view Clustering with Cross-view Partial Sample and
  Prototype Alignment
Deep Incomplete Multi-view Clustering with Cross-view Partial Sample and Prototype AlignmentComputer Vision and Pattern Recognition (CVPR), 2023
Jiaqi Jin
Siwei Wang
Zhibin Dong
Xinwang Liu
En Zhu
225
87
0
28 Mar 2023
On the Effects of Self-supervision and Contrastive Alignment in Deep
  Multi-view Clustering
On the Effects of Self-supervision and Contrastive Alignment in Deep Multi-view ClusteringComputer Vision and Pattern Recognition (CVPR), 2023
Daniel J. Trosten
Sigurd Løkse
Robert Jenssen
Michael C. Kampffmeyer
100
42
0
17 Mar 2023
Large-scale Multi-Modal Pre-trained Models: A Comprehensive Survey
Large-scale Multi-Modal Pre-trained Models: A Comprehensive SurveyMachine Intelligence Research (MIR), 2023
Tianlin Li
Guangyao Chen
Guangwu Qian
Pengcheng Gao
Xiaoyong Wei
Yaowei Wang
Yonghong Tian
Wen Gao
AI4CEVLM
384
259
0
20 Feb 2023
Incomplete Multi-view Clustering via Prototype-based Imputation
Incomplete Multi-view Clustering via Prototype-based ImputationInternational Joint Conference on Artificial Intelligence (IJCAI), 2023
Hao Li
Yunfan Li
Mouxing Yang
Peng Hu
Dezhong Peng
Xiaocui Peng
183
60
0
26 Jan 2023
A Survey on Self-supervised Learning: Algorithms, Applications, and
  Future Trends
A Survey on Self-supervised Learning: Algorithms, Applications, and Future TrendsIEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2023
Jie Gui
Tuo Chen
Jing Zhang
Qiong Cao
Zhe Sun
Haoran Luo
Dacheng Tao
460
314
0
13 Jan 2023
A Clustering-guided Contrastive Fusion for Multi-view Representation
  Learning
A Clustering-guided Contrastive Fusion for Multi-view Representation Learning
Guanzhou Ke
Guoqing Chao
Xiaoli Wang
Chenyang Xu
Yong-Nan Zhu
Yang Yu
SSL
198
36
0
28 Dec 2022
Self-Supervised Learning for Videos: A Survey
Self-Supervised Learning for Videos: A SurveyACM Computing Surveys (ACM CSUR), 2022
Madeline Chantry Schiappa
Yogesh S Rawat
M. Shah
SSL
390
163
0
18 Jun 2022
Decoupled Contrastive Learning
Decoupled Contrastive Learning
Chun-Hsiao Yeh
Cheng-Yao Hong
Yen-Chi Hsu
Tyng-Luh Liu
Yubei Chen
Yann LeCun
498
221
0
13 Oct 2021
Multi-level Feature Learning for Contrastive Multi-view Clustering
Multi-level Feature Learning for Contrastive Multi-view ClusteringComputer Vision and Pattern Recognition (CVPR), 2021
Jie Xu
Huayi Tang
Yazhou Ren
Liang Peng
Xiao-lan Zhu
Lifang He
146
261
0
21 Jun 2021
Graph Learning: A Survey
Graph Learning: A SurveyIEEE Transactions on Artificial Intelligence (IEEE TAI), 2021
Xiwei Xu
Ke Sun
Shuo Yu
Abdul Aziz
Liangtian Wan
Shirui Pan
Huan Liu
GNN
199
425
0
03 May 2021
Understanding the Behaviour of Contrastive Loss
Understanding the Behaviour of Contrastive LossComputer Vision and Pattern Recognition (CVPR), 2020
Feng Wang
Huaping Liu
SSL
377
788
0
15 Dec 2020
Unsupervised Learning of Visual Features by Contrasting Cluster
  Assignments
Unsupervised Learning of Visual Features by Contrasting Cluster Assignments
Mathilde Caron
Ishan Misra
Julien Mairal
Priya Goyal
Piotr Bojanowski
Armand Joulin
OCLSSL
1.1K
4,602
0
17 Jun 2020
Self-supervised Learning: Generative or Contrastive
Self-supervised Learning: Generative or Contrastive
Xiao Liu
Fanjin Zhang
Zhenyu Hou
Zhaoyu Wang
Li Mian
Jing Zhang
Jie Tang
SSL
432
1,940
0
15 Jun 2020
Survey on Deep Multi-modal Data Analytics: Collaboration, Rivalry and
  Fusion
Survey on Deep Multi-modal Data Analytics: Collaboration, Rivalry and Fusion
Yang Wang
221
223
0
15 Jun 2020
Multi-View Spectral Clustering Tailored Tensor Low-Rank Representation
Multi-View Spectral Clustering Tailored Tensor Low-Rank Representation
Yuheng Jia
Hui Liu
Xianqiang Lyu
Sam Kwong
Qingfu Zhang
149
98
0
30 Apr 2020
Supervised Contrastive Learning
Supervised Contrastive Learning
Prannay Khosla
Piotr Teterwak
Chen Wang
Aaron Sarna
Yonglong Tian
Phillip Isola
Aaron Maschinot
Ce Liu
Dilip Krishnan
SSL
682
5,399
0
23 Apr 2020
A Simple Framework for Contrastive Learning of Visual Representations
A Simple Framework for Contrastive Learning of Visual RepresentationsInternational Conference on Machine Learning (ICML), 2020
Ting-Li Chen
Simon Kornblith
Mohammad Norouzi
Geoffrey E. Hinton
SSL
1.1K
21,918
0
13 Feb 2020
PyTorch: An Imperative Style, High-Performance Deep Learning Library
PyTorch: An Imperative Style, High-Performance Deep Learning LibraryNeural Information Processing Systems (NeurIPS), 2019
Adam Paszke
Sam Gross
Francisco Massa
Adam Lerer
James Bradbury
...
Sasank Chilamkurthy
Benoit Steiner
Lu Fang
Junjie Bai
Soumith Chintala
ODL
932
47,917
0
03 Dec 2019
Momentum Contrast for Unsupervised Visual Representation Learning
Momentum Contrast for Unsupervised Visual Representation LearningComputer Vision and Pattern Recognition (CVPR), 2019
Kaiming He
Haoqi Fan
Yuxin Wu
Saining Xie
Ross B. Girshick
SSL
985
13,766
0
13 Nov 2019
One-Pass Incomplete Multi-view Clustering
One-Pass Incomplete Multi-view ClusteringAAAI Conference on Artificial Intelligence (AAAI), 2019
Menglei Hu
Songcan Chen
141
149
0
02 Mar 2019
On Deep Multi-View Representation Learning: Objectives and Optimization
On Deep Multi-View Representation Learning: Objectives and Optimization
Weiran Wang
R. Arora
Karen Livescu
J. Bilmes
SSLDRL
271
987
0
02 Feb 2016
Adam: A Method for Stochastic Optimization
Adam: A Method for Stochastic OptimizationInternational Conference on Learning Representations (ICLR), 2014
Diederik P. Kingma
Jimmy Ba
ODL
4.4K
160,138
0
22 Dec 2014
Sparse Subspace Clustering: Algorithm, Theory, and Applications
Sparse Subspace Clustering: Algorithm, Theory, and ApplicationsIEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2012
Ehsan Elhamifar
René Vidal
562
2,422
0
05 Mar 2012
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