Fetching the paper…
Reading the bibliography…
Image clustering is a particularly challenging computer vision task, which aims to generate annotations without human supervision.
The hungarian method for the assignment problem
H. W. Kuhn · 1955
Earlier work this paper cites.
Fcm: The fuzzy c-means clustering algorithm
James C. Bezdek, Robert Ehrlich, and William Full · 1984
Earlier work this paper cites.
Elements of Information Theory
Thomas M. Cover and Joy A. Thomas · 1991
Earlier work this paper cites.
Mean shift analysis and applications
Dorin Comaniciu and Peter Meer · 1999
Earlier work this paper cites.
A mcmc approach to hierarchical mixture modelling
Christopher K. I. Williams · 1999
Earlier work this paper cites.
Jensen-shannon divergence and hilbert space embedding
B. Fuglede and F. Topsoe · 2004
Earlier work this paper cites.
The Challenges of Clustering High Dimensional Data
Michael Steinbach, Levent Ertöz, and Vipin Kumar · 2004
Earlier work this paper cites.
Bayesian hierarchical clustering
Katherine A. Heller and Zoubin Ghahramani · 2005
Earlier work this paper cites.
A fast learning algorithm for deep belief nets
Geoffrey E. Hinton, Simon Osindero, and Yee-Whye Teh · 2006
Earlier work this paper cites.
Reducing the dimensionality of data with neural networks
G E Hinton and R R Salakhutdinov · 2006
Earlier work this paper cites.
Greedy layer-wise training of deep networks
Yoshua Bengio, Pascal Lamblin, Dan Popovici, and Hugo Larochelle · 2007
Earlier work this paper cites.
Extracting and composing robust features with denoising autoencoders
Pascal Vincent, Hugo Larochelle, Yoshua Bengio, and Pierre-Antoine Manzagol · 2008
Earlier work this paper cites.
Information theoretic measures for clusterings comparison: is a correction for chance necessary?
Nguyen Xuan Vinh, Julien Epps, and James Bailey · 2009
Earlier work this paper cites.
Noise-contrastive estimation: A new estimation principle for unnormalized statistical models
Michael Gutmann and Aapo Hyvärinen · 2010
Earlier work this paper cites.
Imagenet classification with deep convolutional neural networks
Alex Krizhevsky, Ilya Sutskever, and Geoffrey E Hinton · 2012
Earlier work this paper cites.
Graph degree linkage: Agglomerative clustering on a directed graph
Wei Zhang, Xiaogang Wang, Deli Zhao, and Xiaoou Tang · 2012
Earlier work this paper cites.
Sinkhorn distances: Lightspeed computation of optimal transport
Marco Cuturi · 2013
Earlier work this paper cites.
Generative adversarial nets
Ian J. Goodfellow, Jean Pouget-Abadie, Mehdi Mirza, Bing Xu, David Warde-Farley, Sherjil Ozair, Aaron Courville, and Yoshua Bengio · 2014
Earlier work this paper cites.
Auto-Encoding Variational Bayes
Diederik P. Kingma and Max Welling · 2014
Earlier work this paper cites.
Deep residual learning for image recognition, 2015
Kaiming He, Xiangyu Zhang, Shaoqing Ren, and Jian Sun · 2015
Earlier work this paper cites.
Adam: A method for stochastic optimization
Diederik P. Kingma and Jimmy Ba · 2015
Cited alongside, same era.
Going deeper with convolutions
C. Szegedy, Wei Liu, Yangqing Jia, P. Sermanet, S. Reed, D. Anguelov, D. Erhan, V. Vanhoucke, and A. Rabinovich · 2015
Cited alongside, same era.
Discriminative unsupervised feature learning with exemplar convolutional neural networks
Alexey Dosovitskiy, Philipp Fischer, Jost Tobias Springenberg, Martin A. Riedmiller, and Thomas Brox · 2016
Cited alongside, same era.
Deep residual learning for image recognition
K. He, X. Zhang, S. Ren, and J. Sun · 2016
Cited alongside, same era.
Unsupervised learning of visual representations by solving jigsaw puzzles
Mehdi Noroozi and Paolo Favaro · 2016
Cited alongside, same era.
Unsupervised representation learning with deep convolutional generative adversarial networks
Alec Radford, Luke Metz, and Soumith Chintala · 2016
Deep comprehensive correlation mining for image clustering
Jianlong Wu, Keyu Long, Fei Wang, Chen Qian, Cheng Li, Zhouchen Lin, and Hongbin Zha · 2019
Later among the works it cites.
Unsupervised learning of visual features by contrasting cluster assignments
Mathilde Caron, Ishan Misra, Julien Mairal, Priya Goyal, Piotr Bojanowski, and Armand Joulin · 2020
Later among the works it cites.
A simple framework for contrastive learning of visual representations
Ting Chen, Simon Kornblith, Mohammad Norouzi, and Geoffrey Hinton · 2020
Later among the works it cites.
Bootstrap your own latent - a new approach to self-supervised learning
Jean-Bastien Grill, Florian Strub, Florent Altché, Corentin Tallec, Pierre Richemond, Elena Buchatskaya, Carl Doersch, Bernardo Avila Pires, Zhaohan Guo, Mohammad Gheshlaghi Azar, Bilal Piot, koray kavukcuoglu, Remi Munos, and Michal Valko · 2020
Later among the works it cites.
Mitigating embedding and class assignment mismatch in unsupervised image classification
Sungwon Han, Sungwon Park, Sungkyu Park, Sundong Kim, and Meeyoung Cha · 2020
Later among the works it cites.
alphaXiv searches the wider corpus for related work and actual follow-ups.
alphaXiv is searching for related work…
Cited alongside, same era.
Unsupervised deep embedding for clustering analysis
Junyuan Xie, Ross Girshick, and Ali Farhadi · 2016
Cited alongside, same era.
Joint unsupervised learning of deep representations and image clusters
Jianwei Yang, Devi Parikh, and Dhruv Batra · 2016
Cited alongside, same era.
Deep adaptive image clustering
Jianlong Chang, Lingfeng Wang, Gaofeng Meng, Shiming Xiang, and Chunhong Pan · 2017
Cited alongside, same era.
Deep adaptive image clustering
J. Chang, L. Wang, G. Meng, S. Xiang, and C. Pan · 2017
Cited alongside, same era.
Learning discrete representations via information maximizing self-augmented training
Weihua Hu, Takeru Miyato, Seiya Tokui, Eiichi Matsumoto, and Masashi Sugiyama · 2017
Cited alongside, same era.
Grad-cam: Visual explanations from deep networks via gradient-based localization
R. R. Selvaraju, M. Cogswell, A. Das, R. Vedantam, D. Parikh, and D. Batra · 2017
Cited alongside, same era.
Mitigating embedding and class assignment mismatch in unsupervised image classification
Sungwon Han, Sungwon Park, Sungkyu Park, Sundong Kim, and Meeyoung Cha · 2020
Later among the works it cites.
Momentum contrast for unsupervised visual representation learning
Kaiming He, Haoqi Fan, Yuxin Wu, Saining Xie, and Ross Girshick · 2020
Later among the works it cites.
Deep semantic clustering by partition confidence maximisation
Shaogang Gong Jiabo Huang and Xiatian Zhu · 2020
Later among the works it cites.
Variational autoencoders and nonlinear ICA: A unifying framework
Ilyes Khemakhem, Diederik P. Kingma, Ricardo Pio Monti, and Aapo Hyvärinen · 2020
Later among the works it cites.
Computational optimal transport, 2020
Gabriel Peyré and Marco Cuturi · 2020
Later among the works it cites.
Deep density-based image clustering
Yazhou Ren, Ni Wang, Mingxia Li, and Zenglin Xu · 2020
Later among the works it cites.
Scan: Learning to classify images without labels
Wouter Van Gansbeke, Simon Vandenhende, Stamatios Georgoulis, Marc Proesmans, and Luc Van Gool · 2020
Later among the works it cites.
Scan: Learning to classify images without labels
Wouter Van Gansbeke, Simon Vandenhende, Stamatios Georgoulis, Marc Proesmans, and Luc Van Gool · 2020
Later among the works it cites.
Self-labelling via simultaneous clustering and representation learning
Asano YM., Rupprecht C., and Vedaldi A · 2020
Later among the works it cites.
Deep image clustering with category-style representation
Junjie Zhao, Donghuan Lu, Kai Ma, Yu Zhang, and Yefeng Zheng · 2020
Later among the works it cites.
Temporal action detection with structured segment networks
Yue Zhao, Yuanjun Xiong, Limin Wang, Zhirong Wu, Xiaoou Tang, and Dahua Lin · 2020
Later among the works it cites.
Deep robust clustering by contrastive learning, 2020
Huasong Zhong, Chong Chen, Zhongming Jin, and Xian-Sheng Hua · 2020
Later among the works it cites.
Contrastive clustering
Yunfan Li, Peng Hu, Zitao Liu, Dezhong Peng, Joey Tianyi Zhou, and Xi Peng · 2021
Closest in time.
Image clustering using an augmented generative adversarial network and information maximization
Foivos Ntelemis, Yaochu Jin, and Spencer A. Thomas · 2021
Closest in time.