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Transfer learning is widely used in deep neural network models when there are few labeled examples available.
Representational similarity analysis-connecting the branches of systems neuroscience
Nikolaus Kriegeskorte, Marieke Mur, and Peter A Bandettini · 2008
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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 · 2009
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The pascal visual object classes (voc) challenge
M. Everingham, L. Van Gool, C. K. I. Williams, J. Winn, and A. Zisserman · 2010
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Semantic contours from inverse detectors
Bharath Hariharan, Pablo Arbeláez, Lubomir Bourdev, Subhransu Maji, and Jitendra Malik · 2011
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Imagenet classification with deep convolutional neural networks
Alex Krizhevsky, Ilya Sutskever, and Geoffrey E Hinton · 2012
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On the importance of initialization and momentum in deep learning
Ilya Sutskever, James Martens, George Dahl, and Geoffrey Hinton · 2013
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Resolving human object recognition in space and time
Radoslaw Martin Cichy, Dimitrios Pantazis, and Aude Oliva · 2014
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Rich feature hierarchies for accurate object detection and semantic segmentation
Ross Girshick, Jeff Donahue, Trevor Darrell, and Jitendra Malik · 2014
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Deep Supervised, but Not Unsupervised, Models May Explain IT Cortical Representation
Seyed Mahdi Khaligh-Razavi and Nikolaus Kriegeskorte · 2014
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A toolbox for representational similarity analysis
Hamed Nili, Cai Wingfield, Alexander Walther, Li Su, William Marslen-Wilson, and Nikolaus Kriegeskorte · 2014
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Two-stream convolutional networks for action recognition in videos
Karen Simonyan and Andrew Zisserman · 2014
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Very deep convolutional networks for large-scale image recognition
Karen Simonyan and Andrew Zisserman · 2014
Cited alongside, same era.
Distilling the knowledge in a neural network
Geoffrey Hinton, Oriol Vinyals, and Jeff Dean · 2015
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Depth and surface normal estimation from monocular images using regression on deep features and hierarchical crfs
Bo Li, Chunhua Shen, Yuchao Dai, Anton Van Den Hengel, and Mingyi He · 2015
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Representational distance learning for deep neural networks
Patrick McClure and Nikolaus Kriegeskorte · 2016
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Rethinking atrous convolution for semantic image segmentation
Liang-Chieh Chen, George Papandreou, Florian Schroff, and Hartwig Adam · 2017
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Joint prediction of depths, normals and surface curvature from rgb images using cnns
Thanuja Dharmasiri, Andrew Spek, and Tom Drummond · 2017
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Mask r-cnn
Kaiming He, Georgia Gkioxari, Piotr Dollár, and Ross Girshick · 2017
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Dynamics of scene representations in the human brain revealed by magnetoencephalography and deep neural networks
Radoslaw Martin Cichy, Aditya Khosla, Dimitrios Pantazis, and Aude Oliva · 2017
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Pyramid scene parsing network
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Deep convolutional neural fields for depth estimation from a single image
Fayao Liu, Chunhua Shen, and Guosheng Lin · 2015
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Fully convolutional networks for semantic segmentation
Jonathan Long, Evan Shelhamer, and Trevor Darrell · 2015
Cited alongside, same era.
Faster r-cnn: Towards real-time object detection with region proposal networks
Shaoqing Ren, Kaiming He, Ross Girshick, and Jian Sun · 2015
Cited alongside, same era.
Comparison of deep neural networks to spatio-temporal cortical dynamics of human visual object recognition reveals hierarchical correspondence
Radoslaw Martin Cichy, Aditya Khosla, Dimitrios Pantazis, Antonio Torralba, and Aude Oliva · 2016
Cited alongside, same era.
Deep residual learning for image recognition
Kaiming He, Xiangyu Zhang, Shaoqing Ren, and Jian Sun · 2016
Cited alongside, same era.
Computational mechanisms underlying cortical responses to the affordance properties of visual scenes
Michael F Bonner and Russell A Epstein
Cited in the paper.
Blitznet: A real-time deep network for scene understanding
Nikita Dvornik, Konstantin Shmelkov, Julien Mairal, and Cordelia Schmid
Cited in the paper.
Hengshuang Zhao, Jianping Shi, Xiaojuan Qi, Xiaogang Wang, and Jiaya Jia · 2017
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Deeplab: Semantic image segmentation with deep convolutional nets, atrous convolution, and fully connected crfs
Liang-Chieh Chen, George Papandreou, Iasonas Kokkinos, Kevin Murphy, and Alan L Yuille · 2018
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Distinct contributions of functional and deep neural network features to representational similarity of scenes in human brain and behavior
Iris IA Groen, Michelle R Greene, Christopher Baldassano, Li Fei-Fei, Diane M Beck, and Chris I Baker · 2018
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Piggyback: Adding multiple tasks to a single, fixed network by learning to mask
Arun Mallya and Svetlana Lazebnik · 2018
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Beware of the beginnings: intermediate and higher-level representations in deep neural networks are strongly affected by weight initialization
Johannes Mehrer, Nikolaus Kriegeskorte, and Tim Kietzmann · 2018
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