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We present a new framework for semantic segmentation without annotations via clustering.
Gradient-based learning applied to document recognition
Yann LeCun, Léon Bottou, Yoshua Bengio, and Patrick Haffner · 1998
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Distinctive image features from scale-invariant keypoints
David G Lowe · 2004
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Imagenet: A large-scale hierarchical image database
Jia Deng, Wei Dong, Richard Socher, Li-Jia Li, Kai Li, and Li Fei-Fei · 2009
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Learning multiple layers of features from tiny images
Alex Krizhevsky et al · 2009
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The pascal visual object classes (voc) challenge
Mark Everingham, Luc Van Gool, Christopher KI Williams, John Winn, and Andrew Zisserman · 2010
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Web-scale k-means clustering
David Sculley · 2010
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Stacked denoising autoencoders: Learning useful representations in a deep network with a local denoising criterion
Pascal Vincent, Hugo Larochelle, Isabelle Lajoie, Yoshua Bengio, Pierre-Antoine Manzagol, and Léon Bottou · 2010
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Scikit-learn: Machine learning in python
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Generative adversarial nets
Ian Goodfellow, Jean Pouget-Abadie, Mehdi Mirza, Bing Xu, David Warde-Farley, Sherjil Ozair, Aaron Courville, and Yoshua Bengio · 2014
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Microsoft coco: Common objects in context
Tsung-Yi Lin, Michael Maire, Serge Belongie, James Hays, Pietro Perona, Deva Ramanan, Piotr Dollár, and C Lawrence Zitnick · 2014
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Unsupervised visual representation learning by context prediction
Carl Doersch, Abhinav Gupta, and Alexei A Efros · 2015
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Learning visual groups from co-occurrences in space and time
Phillip Isola, Daniel Zoran, Dilip Krishnan, and Edward H Adelson · 2015
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Very deep convolutional networks for large-scale image recognition
Karen Simonyan and Andrew Zisserman · 2015
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Fully-convolutional siamese networks for object tracking
Luca Bertinetto, Jack Valmadre, João F Henriques, Andrea Vedaldi, and Philip HS Torr · 2016
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The cityscapes dataset for semantic urban scene understanding
Marius Cordts, Mohamed Omran, Sebastian Ramos, Timo Rehfeld, Markus Enzweiler, Rodrigo Benenson, Uwe Franke, Stefan Roth, and Bernt Schiele · 2016
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Deep residual learning for image recognition
Kaiming He, Xiangyu Zhang, Shaoqing Ren, and Jian Sun · 2016
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Conditional image generation with pixelcnn decoders
Aaron Van den Oord, Nal Kalchbrenner, Lasse Espeholt, Oriol Vinyals, Alex Graves, et al · 2016
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Unsupervised deep embedding for clustering analysis
Junyuan Xie, Ross Girshick, and Ali Farhadi · 2016
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Joint unsupervised learning of deep representations and image clusters
Jianwei Yang, Devi Parikh, and Dhruv Batra · 2016
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Improved deep embedded clustering with local structure preservation
Xifeng Guo, Long Gao, Xinwang Liu, and Jianping Yin · 2017
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Billion-scale similarity search with gpus
Jeff Johnson, Matthijs Douze, and Hervé Jégou · 2017
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Feature pyramid networks for object detection
Tsung-Yi Lin, Piotr Dollár, Ross Girshick, Kaiming He, Bharath Hariharan, and Serge Belongie · 2017
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Prototypical networks for few-shot learning
Jake Snell, Kevin Swersky, and Richard Zemel · 2017
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Unsupervised learning of object frames by dense equivariant image labelling
James Thewlis, Hakan Bilen, and Andrea Vedaldi · 2017
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Unsupervised learning of object landmarks by factorized spatial embeddings
James Thewlis, Hakan Bilen, and Andrea Vedaldi · 2017
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Coco-stuff: Thing and stuff classes in context
Holger Caesar, Jasper Uijlings, and Vittorio Ferrari · 2018
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Deep clustering for unsupervised learning of visual features
Mathilde Caron, Piotr Bojanowski, Armand Joulin, and Matthijs Douze · 2018
Unsupervised learning of object keypoints for perception and control
Tejas D Kulkarni, Ankush Gupta, Catalin Ionescu, Sebastian Borgeaud, Malcolm Reynolds, Andrew Zisserman, and Volodymyr Mnih · 2019
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Unsupervised part-based disentangling of object shape and appearance
Dominik Lorenz, Leonard Bereska, Timo Milbich, and Bjorn Ommer · 2019
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Unsupervised learning of object structure and dynamics from videos
Matthias Minderer, Chen Sun, Ruben Villegas, Forrester Cole, Kevin P Murphy, and Honglak Lee · 2019
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Deep clustering by gaussian mixture variational autoencoders with graph embedding
Linxiao Yang, Ngai-Man Cheung, Jiaying Li, and Jun Fang · 2019
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Self-supervised convolutional subspace clustering network
Junjian Zhang, Chun-Guang Li, Chong You, Xianbiao Qi, Honggang Zhang, Jun Guo, and Zhouchen Lin · 2019
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Unsupervised learning of object landmarks through conditional image generation
Tomas Jakab, Ankush Gupta, Hakan Bilen, and Andrea Vedaldi · 2018
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Progressive growing of GANs for improved quality, stability, and variation
Tero Karras, Timo Aila, Samuli Laine, and Jaakko Lehtinen · 2018
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Self-supervised learning of geometrically stable features through probabilistic introspection
David Novotny, Samuel Albanie, Diane Larlus, and Andrea Vedaldi · 2018
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Discovery of latent 3d keypoints via end-to-end geometric reasoning
Supasorn Suwajanakorn, Noah Snavely, Jonathan J Tompson, and Mohammad Norouzi · 2018
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Modelling and unsupervised learning of symmetric deformable object categories
James Thewlis, Hakan Bilen, and Andrea Vedaldi · 2018
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Self-supervised learning of a facial attribute embedding from video
O. Wiles, A.S. Koepke, and A. Zisserman · 2018
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Chengxu Zhuang, Alex Lin Zhai, and Daniel Yamins · 2019
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A simple framework for contrastive learning of visual representations
Ting Chen, Simon Kornblith, Mohammad Norouzi, and Geoffrey Hinton · 2020
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Bootstrap your own latent: A new approach to self-supervised learning
Jean-Bastien Grill, Florian Strub, Florent Altché, Corentin Tallec, Pierre H Richemond, Elena Buchatskaya, Carl Doersch, Bernardo Avila Pires, Zhaohan Daniel Guo, Mohammad Gheshlaghi Azar, et al · 2020
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Unsupervised clustering using pseudo-semi-supervised learning
Divam Gupta, Ramachandran Ramjee, Nipun Kwatra, and Muthian Sivathanu · 2020
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Automatically discovering and learning new visual categories with ranking statistics
Kai Han, Sylvestre-Alvise Rebuffi, Sebastien Ehrhardt, Andrea Vedaldi, and Andrew Zisserman · 2020
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Yang Li, Shichao Kan, and Zhihai He · 2020
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Learning to Cluster under Domain Shift
Willi Menapace, Stéphane Lathuilière, and Elisa Ricci · 2020
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Autoregressive unsupervised image segmentation
Yassine Ouali, Celine Hudelot, and Myriam Tami · 2020
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Predict & cluster: Unsupervised skeleton based action recognition
Kun Su, Xiulong Liu, and Eli Shlizerman · 2020
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Scan: Learning to classify images without labels
Wouter Van Gansbeke, Simon Vandenhende, Stamatios Georgoulis, Marc Proesmans, and Luc Van Gool · 2020
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Clusterfit: Improving generalization of visual representations
Xueting Yan, Ishan Misra, Abhinav Gupta, Deepti Ghadiyaram, and Dhruv Mahajan · 2020
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Self-labelling via simultaneous clustering and representation learning
Asano YM., Rupprecht C., and Vedaldi A · 2020
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Ad-cluster: Augmented discriminative clustering for domain adaptive person re-identification
Yunpeng Zhai, Shijian Lu, Qixiang Ye, Xuebo Shan, Jie Chen, Rongrong Ji, and Yonghong Tian · 2020
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Online deep clustering for unsupervised representation learning
Xiaohang Zhan, Jiahao Xie, Ziwei Liu, Yew-Soon Ong, and Chen Change Loy · 2020
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Deep image clustering with category-style representation
Junjie Zhao, Donghuan Lu, Kai Ma, Yu Zhang, and Yefeng Zheng · 2020
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