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Humans naturally decompose their environment into entities at the appropriate level of abstraction to act in the world.
MONet: Unsupervised Scene Decomposition and Representation
Christopher P. Burgess, Loic Matthey, Nicholas Watters, Rishabh Kabra, Irina Higgins, Matt Botvinick, and Alexander Lerchner · 1901
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Multi-Object Representation Learning with Iterative Variational Inference
Klaus Greff, Raphaël Lopez Kaufman, Rishabh Kabra, Nick Watters, Christopher Burgess, Daniel Zoran, Loic Matthey, Matthew Botvinick, and Alexander Lerchner · 1903
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The Hungarian Method for the Assignment Problem
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The Reviewing of Object Files: Object-specific Integration of Information
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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 Richemond, Elena Buchatskaya, Carl Doersch, Bernardo Avila Pires, Zhaohan Guo, Mohammad Gheshlaghi Azar, Bilal Piot, Koray Kavukcuoglu, Remi Munos, and Michal Valko · 2006
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Toward Unsupervised, Multi-object Discovery in Large-scale Image Collections
Huy V. Vo, Patrick Pérez, and Jean Ponce · 2007
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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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Semantic Contours from Inverse Detectors
Bharath Hariharan, Pablo Arbelaez, Lubomir Bourdev, Subhransu Maji, and Jitendra Malik · 2011
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The PASCAL Visual Object Classes Challenge 2012 (VOC2012), 2012
M. Everingham, L. Van Gool, C. K. I. Williams, J. Winn, and A. Zisserman · 2012
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On the Binding Problem in Artificial Neural Networks
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Jianwei Yang, Jiayuan Mao, Jiajun Wu, Devi Parikh, David D Cox, Joshua B. Tenenbaum, and Chuang Gan · 2012
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Vision meets Robotics: The KITTI Dataset
Andreas Geiger, Philip Lenz, Christoph Stiller, and Raquel Urtasun · 2013
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Learning Phrase Representations using RNN Encoder–Decoder for Statistical Machine Translation
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Microsoft COCO: Common Objects in Context
Tsung-Yi Lin, Michael Maire, Serge J. Belongie, James Hays, Pietro Perona, Deva Ramanan, Piotr Dollár, and C. Lawrence Zitnick · 2014
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Minsu Cho, Suha Kwak, Cordelia Schmid, and Jean Ponce · 2015
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Deep Residual Learning for Image Recognition
Kaiming He, Xiangyu Zhang, Shaoqing Ren, and Jian Sun · 2015
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Distilling the Knowledge in a Neural Network
Geoffrey E. Hinton, Oriol Vinyals, and Jeffrey Dean · 2015
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Adam: A Method for Stochastic Optimization
Diederik P. Kingma and Jimmy Ba · 2015
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Generating Images with Perceptual Similarity Metrics based on Deep Networks
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S. M. Ali Eslami, Nicolas Heess, Theophane Weber, Yuval Tassa, David Szepesvari, Koray Kavukcuoglu, and Geoffrey E. Hinton · 2016
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Multiscale Combinatorial Grouping for Image Segmentation and Object Proposal Generation
Jordi Pont-Tuset, Pablo Arbeláez, Jonathan T. Barron, Ferran Marques, and Jitendra Malik · 2016
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Neural Discrete Representation Learning
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Attention is All you Need
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