MiCE: Mixture of Contrastive Experts for Unsupervised Image Clustering

5 May 2021

Jun Zhu

Papers citing "MiCE: Mixture of Contrastive Experts for Unsupervised Image Clustering"

32 / 32 papers shown

Title
Unsupervised Urban Land Use Mapping with Street View Contrastive Clustering and a Geographical Prior Lin Che Yizi Chen Tanhua Jin Martin Raubal Konrad Schindler Peter Kiefer 29 0 0 24 Apr 2025
INTENT: Trajectory Prediction Framework with Intention-Guided Contrastive Clustering Yihong Tang Wei-Ying Ma 43 0 0 06 Mar 2025
Keep It Light! Simplifying Image Clustering Via Text-Free Adapters Yicen Li Haitz Sáez de Ocáriz Borde Anastasis Kratsios Paul D. McNicholas VLM 98 0 0 06 Feb 2025
Personalized Clustering via Targeted Representation Learning Xiwen Geng Suyun Zhao Yixin Yu Borui Peng Pan Du Hong Chen C. Li Mengdie Wang 78 0 0 18 Dec 2024
Dual-Level Cross-Modal Contrastive Clustering Haixin Zhang Yongjun Li Dong Huang VLM 32 0 0 06 Sep 2024
Clustering-friendly Representation Learning for Enhancing Salient Features Toshiyuki Oshima Kentaro Takagi Kouta Nakata SSL 19 0 0 09 Aug 2024
Deep Online Probability Aggregation Clustering Yuxuan Yan Na Lu Ruofan Yan 29 1 0 07 Jul 2024
Deep Clustering with Self-Supervision using Pairwise Similarities M. Sadeghi Narges Armanfard 19 1 0 06 May 2024
Heterogeneous Contrastive Learning for Foundation Models and Beyond Lecheng Zheng Baoyu Jing Zihao Li Hanghang Tong Jingrui He VLM 36 19 0 30 Mar 2024
Open-World Semi-Supervised Learning for Node Classification Yanling Wang Jing Zhang Lingxi Zhang Lixin Liu Yuxiao Dong Cuiping Li Hong Chen Hongzhi Yin BDL 37 0 0 18 Mar 2024
Towards Efficient and Effective Deep Clustering with Dynamic Grouping and Prototype Aggregation Hai-Xin Zhang Dong Huang 18 0 0 24 Jan 2024
Contextually Affinitive Neighborhood Refinery for Deep Clustering Chunlin Yu Ye-ling Shi Jingya Wang 34 5 0 12 Dec 2023
ConstraintMatch for Semi-constrained Clustering Jann Goschenhofer Bernd Bischl Z. Kira 32 1 0 26 Nov 2023
Sanitized Clustering against Confounding Bias Yinghua Yao Yuangang Pan Jing Li Ivor W. Tsang Xin Yao CML 12 3 0 02 Nov 2023
Grid Jigsaw Representation with CLIP: A New Perspective on Image Clustering Zijie Song Zhenzhen Hu Richang Hong SSL 46 0 0 27 Oct 2023
Image Clustering with External Guidance Yunfan Li Peng Hu Dezhong Peng Jiancheng Lv Jianping Fan Xi Peng 23 10 0 18 Oct 2023
Local Boosting for Weakly-Supervised Learning Rongzhi Zhang Yue Yu Jiaming Shen Xiquan Cui Chao Zhang WSOL 39 2 0 05 Jun 2023
DivClust: Controlling Diversity in Deep Clustering Ioannis Maniadis Metaxas Georgios Tzimiropoulos Ioannis Patras 23 16 0 03 Apr 2023
On the Robustness of Deep Clustering Models: Adversarial Attacks and Defenses Anshuman Chhabra Ashwin Sekhari P. Mohapatra OOD AAML 37 8 0 04 Oct 2022
Visual Recognition with Deep Nearest Centroids Wenguan Wang Cheng Han Tianfei Zhou Dongfang Liu 54 91 0 15 Sep 2022
A Comprehensive Survey on Deep Clustering: Taxonomy, Challenges, and Future Directions Sheng Zhou Hongjia Xu Zhuonan Zheng Jiawei Chen Zhao Li Jiajun Bu Jia Wu Xin Eric Wang Wenwu Zhu Martin Ester 18 93 0 15 Jun 2022
Federated Momentum Contrastive Clustering Runxuan Miao Erdem Koyuncu FedML 20 13 0 10 Jun 2022
Attracting and Dispersing: A Simple Approach for Source-free Domain Adaptation Shiqi Yang Yaxing Wang Kai Wang Shangling Jui Joost van de Weijer 24 131 0 09 May 2022
Interpretable Prediction of Lung Squamous Cell Carcinoma Recurrence With Self-supervised Learning Weicheng Zhu C. Fernandez‐Granda N. Razavian SSL 16 4 0 23 Mar 2022
Neural Manifold Clustering and Embedding Zengyi Li Yubei Chen Yann LeCun Friedrich T. Sommer DRL 22 41 0 24 Jan 2022
Learning Representation for Clustering via Prototype Scattering and Positive Sampling Zhizhong Huang Jie Chen Junping Zhang Hongming Shan 21 87 0 23 Nov 2021
Towards Unsupervised Domain Generalization Xingxuan Zhang Linjun Zhou Renzhe Xu Peng Cui Zheyan Shen Haoxin Liu OOD AI4CE 22 49 0 13 Jul 2021
Neural Mixture Models with Expectation-Maximization for End-to-end Deep Clustering Dumindu Tissera Kasun Vithanage Rukshan Wijesinghe A. Xavier Sanath Jayasena Subha Fernando Ranga Rodrigo FedML 14 4 0 06 Jul 2021
Separating Boundary Points via Structural Regularization for Very Compact Clusters Xin Ma Won Hwa Kim 9 0 0 09 Jun 2021
Provable Guarantees for Self-Supervised Deep Learning with Spectral Contrastive Loss Jeff Z. HaoChen Colin Wei Adrien Gaidon Tengyu Ma SSL 15 301 0 08 Jun 2021
You Never Cluster Alone Yuming Shen Ziyi Shen Menghan Wang Jie Qin Philip H. S. Torr Ling Shao SSL 23 42 0 03 Jun 2021
Dataset Summarization by K Principal Concepts Niv Cohen Yedid Hoshen 11 1 0 08 Apr 2021