Investigating and Mitigating the Side Effects of Noisy Views for
Self-Supervised Clustering Algorithms in Practical Multi-View Scenarios

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Investigating and Mitigating the Side Effects of Noisy Views for Self-Supervised Clustering Algorithms in Practical Multi-View Scenarios

Computer Vision and Pattern Recognition (CVPR), 2023

30 March 2023

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Papers citing "Investigating and Mitigating the Side Effects of Noisy Views for Self-Supervised Clustering Algorithms in Practical Multi-View Scenarios"

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Title
RAC-DMVC: Reliability-Aware Contrastive Deep Multi-View Clustering under Multi-Source Noise Shihao Dong Yue Liu Xiaotong Zhou Yuhui Zheng Huiying Xu Xinzhong Zhu 40 0 0 17 Nov 2025
MoEGCL: Mixture of Ego-Graphs Contrastive Representation Learning for Multi-View Clustering Jian Zhu X. Zou Jun Sun Cheng Luo Lei Liu Lingfang Zeng Ning Zhang Bian Wu Chang Tang Lirong Dai 95 0 0 08 Nov 2025
Bootstrap Deep Spectral Clustering with Optimal Transport Wengang Guo Wei Ye Chunchun Chen Xin Sun Christian Böhm Claudia Plant Susanto Rahardja OT 235 0 0 06 Aug 2025
Reliable Disentanglement Multi-view Learning Against View Adversarial AttacksInternational Joint Conference on Artificial Intelligence (IJCAI), 2025 Xuyang Wang Siyuan Duan Qizhi Li Guiduo Duan Yuan Sun Dezhong Peng AAML EDL 601 1 0 07 May 2025
Mask-informed Deep Contrastive Incomplete Multi-view Clustering Zhenglai Li Yuqi Shi Xiao He Chang-Fu Tang 351 0 0 04 Feb 2025
Hierarchical Consensus Network for Multiview Feature LearningAAAI Conference on Artificial Intelligence (AAAI), 2025 Chengwei Xia Chaoxi Niu Kun Zhan 265 4 0 04 Feb 2025
Balanced Multi-view Clustering Zhenglai Li Jun Wang Chang-Fu Tang Xinzhong Zhu Wei Zhang Xinwang Liu 453 0 0 05 Jan 2025
Self Supervised Correlation-based Permutations for Multi-View Clustering Ran Eisenberg Jonathan Svirsky Ofir Lindenbaum 359 2 0 26 Feb 2024