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Split-Brain Autoencoders: Unsupervised Learning by Cross-Channel Prediction

29 November 2016

Papers citing "Split-Brain Autoencoders: Unsupervised Learning by Cross-Channel Prediction"

39 / 39 papers shown

Title
Self-supervised Benchmark Lottery on ImageNet: Do Marginal Improvements Translate to Improvements on Similar Datasets? Utku Ozbulak Esla Timothy Anzaku Solha Kang W. D. Neve J. Vankerschaver 129 0 0 28 Jan 2025
Federated Unsupervised Domain Generalization using Global and Local Alignment of Gradients Farhad Pourpanah Mahdiyar Molahasani Milad Soltany Michael A. Greenspan Ali Etemad FedML OOD 363 2 0 25 May 2024
Unsupervised Learning of Visual Features by Contrasting Cluster Assignments Mathilde Caron Ishan Misra Julien Mairal Priya Goyal Piotr Bojanowski Armand Joulin OCL SSL 281 4,101 0 17 Jun 2020
ClusterFit: Improving Generalization of Visual Representations Xueting Yan Ishan Misra Abhinav Gupta Deepti Ghadiyaram D. Mahajan SSL VLM 129 133 0 06 Dec 2019
Contrastive Representation Distillation Yonglong Tian Dilip Krishnan Phillip Isola 178 1,054 0 23 Oct 2019
Learning Sight from Sound: Ambient Sound Provides Supervision for Visual Learning Andrew Owens Jiajun Wu Josh H. McDermott William T. Freeman Antonio Torralba SSL 73 176 0 20 Dec 2017
Colorization as a Proxy Task for Visual Understanding Gustav Larsson Michael Maire Gregory Shakhnarovich SSL 190 499 0 11 Mar 2017
Learning Features by Watching Objects Move Deepak Pathak Ross B. Girshick Piotr Dollár Trevor Darrell Bharath Hariharan SSL VOS OCL 87 526 0 19 Dec 2016
Conditional Image Generation with PixelCNN Decoders Aaron van den Oord Nal Kalchbrenner Oriol Vinyals L. Espeholt Alex Graves Koray Kavukcuoglu VLM 235 2,519 0 16 Jun 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 273 18,284 0 02 Jun 2016
Adversarially Learned Inference Vincent Dumoulin Ishmael Belghazi Ben Poole Olivier Mastropietro Alex Lamb Martín Arjovsky Aaron Courville GAN 93 1,314 0 02 Jun 2016
Asynchrony begets Momentum, with an Application to Deep Learning Jeff Donahue Philipp Krahenbuhl Stefan Hadjis Christopher Ré 96 142 0 31 May 2016
Faster Eigenvector Computation via Shift-and-Invert Preconditioning Dan Garber Laurent Dinh Chi Jin Jascha Narain Sohl-Dickstein Samy Bengio Praneeth Netrapalli Aaron Sidford 277 3,722 0 26 May 2016
Fully Convolutional Networks for Semantic Segmentation Evan Shelhamer Jonathan Long Trevor Darrell VOS SSeg 755 37,927 0 20 May 2016
Generative Adversarial Text to Image Synthesis Scott E. Reed Zeynep Akata Xinchen Yan Lajanugen Logeswaran Bernt Schiele Honglak Lee GAN 209 3,150 0 17 May 2016
Context Encoders: Feature Learning by Inpainting Deepak Pathak Philipp Krahenbuhl Jeff Donahue Trevor Darrell Alexei A. Efros SSL 69 5,300 0 25 Apr 2016
Unsupervised Learning of Visual Representations by Solving Jigsaw Puzzles M. Noroozi Paolo Favaro SSL 180 2,986 0 30 Mar 2016
Colorful Image Colorization Richard Y. Zhang Phillip Isola Alexei A. Efros 151 3,534 0 28 Mar 2016
Perceptual Losses for Real-Time Style Transfer and Super-Resolution Justin Johnson Alexandre Alahi Li Fei-Fei SupR 262 10,273 0 27 Mar 2016
Learning Representations for Automatic Colorization Gustav Larsson Michael Maire Gregory Shakhnarovich VLM SSL 100 1,014 0 22 Mar 2016
Generative Image Modeling using Style and Structure Adversarial Networks Xinyu Wang Abhinav Gupta GAN 125 617 0 17 Mar 2016
Pixel Recurrent Neural Networks Aaron van den Oord Nal Kalchbrenner Koray Kavukcuoglu SSeg GAN 488 2,579 0 25 Jan 2016
Deep Residual Learning for Image Recognition Kaiming He Xinming Zhang Shaoqing Ren Jian Sun MedIm 2.3K 194,641 0 10 Dec 2015
Multi-Scale Context Aggregation by Dilated Convolutions Feng Yu V. Koltun SSeg 271 8,464 0 23 Nov 2015
Data-dependent Initializations of Convolutional Neural Networks Philipp Krahenbuhl Carl Doersch Jeff Donahue Trevor Darrell VLM 95 203 0 21 Nov 2015
Learning visual groups from co-occurrences in space and time Phillip Isola Daniel Zoran Dilip Krishnan Edward H. Adelson 83 122 0 21 Nov 2015
Cross Modal Distillation for Supervision Transfer Saurabh Gupta Judy Hoffman Jitendra Malik 127 538 0 02 Jul 2015
Unsupervised Visual Representation Learning by Context Prediction Carl Doersch Abhinav Gupta Alexei A. Efros DRL SSL 171 2,792 0 19 May 2015
Learning image representations tied to ego-motion Dinesh Jayaraman Kristen Grauman SSL 86 246 0 08 May 2015
Learning to See by Moving Pulkit Agrawal João Carreira Jitendra Malik SSL 90 555 0 07 May 2015
Fast R-CNN Ross B. Girshick ObjD 312 25,087 0 30 Apr 2015
Holistically-Nested Edge Detection Saining Xie Zhuowen Tu 151 3,497 0 24 Apr 2015
Designing Deep Networks for Surface Normal Estimation Xinyu Wang David Fouhey Abhinav Gupta 3DV SSL 280 356 0 18 Nov 2014
Predicting Depth, Surface Normals and Semantic Labels with a Common Multi-Scale Convolutional Architecture David Eigen Rob Fergus VLM MDE 214 2,684 0 18 Nov 2014
Very Deep Convolutional Networks for Large-Scale Image Recognition Karen Simonyan Andrew Zisserman FAtt MDE 1.7K 100,575 0 04 Sep 2014
ImageNet Large Scale Visual Recognition Challenge Olga Russakovsky Jia Deng Hao Su J. Krause S. Satheesh ... A. Karpathy A. Khosla Michael S. Bernstein Alexander C. Berg Li Fei-Fei VLM ObjD 1.7K 39,637 0 01 Sep 2014
Learning Rich Features from RGB-D Images for Object Detection and Segmentation Saurabh Gupta Ross B. Girshick Pablo Arbeláez Jitendra Malik ObjD 132 1,561 0 22 Jul 2014
Auto-Encoding Variational Bayes Diederik P. Kingma Max Welling BDL 484 16,922 0 20 Dec 2013
A Survey on Multi-view Learning Chang Xu Dacheng Tao Chao Xu AI4TS 122 1,132 0 20 Apr 2013