Deep Spectral Methods: A Surprisingly Strong Baseline for Unsupervised Semantic Segmentation and Localization

16 May 2022

Luke Melas-Kyriazi

Christian Rupprecht

Iro Laina

Andrea Vedaldi

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Papers citing "Deep Spectral Methods: A Surprisingly Strong Baseline for Unsupervised Semantic Segmentation and Localization"

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Title
OneGAN: Simultaneous Unsupervised Learning of Conditional Image Generation, Foreground Segmentation, and Fine-Grained Clustering Yaniv Benny Lior Wolf VLM GAN 42 48 0 31 Dec 2019
A Comprehensive Analysis of Weakly-Supervised Semantic Segmentation in Different Image Domains Lyndon Chan Mahdi S. Hosseini Konstantinos N. Plataniotis 46 100 0 24 Dec 2019
Momentum Contrast for Unsupervised Visual Representation Learning Kaiming He Haoqi Fan Yuxin Wu Saining Xie Ross B. Girshick SSL 183 12,073 0 13 Nov 2019
SegSort: Segmentation by Discriminative Sorting of Segments Jyh-Jing Hwang Stella X. Yu Jianbo Shi Maxwell D. Collins Tien-Ju Yang Xiao Zhang Liang-Chieh Chen 205 149 0 15 Oct 2019
DeepUSPS: Deep Robust Unsupervised Saliency Prediction With Self-Supervision D. Nguyen Maximilian Dax Chaithanya Kumar Mummadi Thi Phuong Nhung Ngo T. Nguyen Zhongyu Lou Thomas Brox 58 70 0 28 Sep 2019
GENESIS: Generative Scene Inference and Sampling with Object-Centric Latent Representations Martin Engelcke Adam R. Kosiorek Oiwi Parker Jones Ingmar Posner OCL 112 307 0 30 Jul 2019
Contrastive Multiview Coding Yonglong Tian Dilip Krishnan Phillip Isola SSL 155 2,398 0 13 Jun 2019
Emergence of Object Segmentation in Perturbed Generative Models Adam Bielski Paolo Favaro 82 100 0 29 May 2019
Object Discovery with a Copy-Pasting GAN Relja Arandjelović Andrew Zisserman 50 58 0 27 May 2019
Unsupervised Object Segmentation by Redrawing Mickaël Chen Thierry Artières Ludovic Denoyer 63 141 0 27 May 2019
Data-Efficient Image Recognition with Contrastive Predictive Coding Olivier J. Hénaff A. Srinivas J. Fauw Ali Razavi Carl Doersch S. M. Ali Eslami Aaron van den Oord SSL 113 1,428 0 22 May 2019
SCOPS: Self-Supervised Co-Part Segmentation Wei-Chih Hung Varun Jampani Sifei Liu Pavlo Molchanov Ming-Hsuan Yang Jan Kautz 77 140 0 03 May 2019
Unsupervised Image Matching and Object Discovery as Optimization Huy V. Vo Francis R. Bach Minsu Cho Kai Han Yann LeCun P. Pérez Jean Ponce OCL 90 66 0 05 Apr 2019
Self-Supervised Learning via Conditional Motion Propagation Xiaohang Zhan Xingang Pan Ziwei Liu Dahua Lin Chen Change Loy SSL 61 47 0 27 Mar 2019
Multi-Object Representation Learning with Iterative Variational Inference Klaus Greff Raphael Lopez Kaufman Rishabh Kabra Nicholas Watters Christopher P. Burgess Daniel Zoran Loic Matthey M. Botvinick Alexander Lerchner OCL SSL 104 509 0 01 Mar 2019
Object Discovery From a Single Unlabeled Image by Mining Frequent Itemset With Multi-scale Features Runsheng Zhang Yaping Huang Mengyang Pu Jian Zhang Q. Guan Qi Zou Haibin Ling ObjD 52 31 0 26 Feb 2019
MONet: Unsupervised Scene Decomposition and Representation Christopher P. Burgess Loic Matthey Nicholas Watters Rishabh Kabra I. Higgins M. Botvinick Alexander Lerchner OCL 84 527 0 22 Jan 2019
Invariant Information Clustering for Unsupervised Image Classification and Segmentation Xu Ji João F. Henriques Andrea Vedaldi SSL VLM 82 850 0 17 Jul 2018
Representation Learning with Contrastive Predictive Coding Aaron van den Oord Yazhe Li Oriol Vinyals DRL SSL 302 10,282 0 10 Jul 2018
Deep Feature Factorization For Concept Discovery Edo Collins R. Achanta Sabine Süsstrunk 63 92 0 26 Jun 2018
Unsupervised Feature Learning via Non-Parametric Instance-level Discrimination Zhirong Wu Yuanjun Xiong Stella X. Yu Dahua Lin SSL 170 3,452 0 05 May 2018
Exploring the Limits of Weakly Supervised Pretraining D. Mahajan Ross B. Girshick Vignesh Ramanathan Kaiming He Manohar Paluri Yixuan Li Ashwin R. Bharambe Laurens van der Maaten VLM 178 1,367 0 02 May 2018
Unsupervised Representation Learning by Predicting Image Rotations Spyros Gidaris Praveer Singh N. Komodakis OOD SSL DRL 249 3,289 0 21 Mar 2018
No Classification without Representation: Assessing Geodiversity Issues in Open Data Sets for the Developing World S. Shankar Yoni Halpern Eric Breck James Atwood Jimbo Wilson D. Sculley 71 295 0 22 Nov 2017
W-Net: A Deep Model for Fully Unsupervised Image Segmentation Xide Xia Brian Kulis SSeg 34 254 0 22 Nov 2017
Attention Is All You Need Ashish Vaswani Noam M. Shazeer Niki Parmar Jakob Uszkoreit Llion Jones Aidan Gomez Lukasz Kaiser Illia Polosukhin 3DV 662 131,414 0 12 Jun 2017
Split-Brain Autoencoders: Unsupervised Learning by Cross-Channel Prediction Richard Y. Zhang Phillip Isola Alexei A. Efros SSL DRL 61 668 0 29 Nov 2016
DeepLab: Semantic Image Segmentation with Deep Convolutional Nets, Atrous Convolution, and Fully Connected CRFs Liang-Chieh Chen George Papandreou Iasonas Kokkinos Kevin Patrick Murphy Alan Yuille SSeg 237 18,224 0 02 Jun 2016
Context Encoders: Feature Learning by Inpainting Deepak Pathak Philipp Krahenbuhl Jeff Donahue Trevor Darrell Alexei A. Efros SSL 67 5,293 0 25 Apr 2016
The Cityscapes Dataset for Semantic Urban Scene Understanding Marius Cordts Mohamed Omran Sebastian Ramos Timo Rehfeld Markus Enzweiler Rodrigo Benenson Uwe Franke Stefan Roth Bernt Schiele 1.1K 11,606 0 06 Apr 2016
Unsupervised Learning of Visual Representations by Solving Jigsaw Puzzles M. Noroozi Paolo Favaro SSL 163 2,979 0 30 Mar 2016
Colorful Image Colorization Richard Y. Zhang Phillip Isola Alexei A. Efros 124 36 0 28 Mar 2016
Simple Does It: Weakly Supervised Instance and Semantic Segmentation Anna Khoreva Rodrigo Benenson J. Hosang Matthias Hein Bernt Schiele WSOD VLM ISeg 83 745 0 24 Mar 2016
Deep Residual Learning for Image Recognition Kaiming He Xinming Zhang Shaoqing Ren Jian Sun MedIm 2.2K 193,814 0 10 Dec 2015
Learning visual groups from co-occurrences in space and time Phillip Isola Daniel Zoran Dilip Krishnan Edward H. Adelson 53 122 0 21 Nov 2015
Unsupervised Visual Representation Learning by Context Prediction Carl Doersch Abhinav Gupta Alexei A. Efros DRL SSL 164 2,781 0 19 May 2015
Unsupervised Object Discovery and Localization in the Wild: Part-based Matching with Bottom-up Region Proposals Minsu Cho Suha Kwak Cordelia Schmid Jean Ponce 77 280 0 25 Jan 2015
Adam: A Method for Stochastic Optimization Diederik P. Kingma Jimmy Ba ODL 1.7K 150,006 0 22 Dec 2014
Hypercolumns for Object Segmentation and Fine-grained Localization Bharath Hariharan Pablo Arbeláez Ross B. Girshick Jitendra Malik SSeg 128 1,595 0 21 Nov 2014
Microsoft COCO: Common Objects in Context Nayeon Lee Michael Maire Serge J. Belongie Lubomir Bourdev Ross B. Girshick James Hays Pietro Perona Deva Ramanan C. L. Zitnick Piotr Dollár ObjD 393 43,619 0 01 May 2014
Auto-Encoding Variational Bayes Diederik P. Kingma Max Welling BDL 437 16,940 0 20 Dec 2013
Efficient Inference in Fully Connected CRFs with Gaussian Edge Potentials Philipp Krahenbuhl V. Koltun 121 3,453 0 20 Oct 2012