CIFAR10 to Compare Visual Recognition Performance between Deep Neural Networks and Humans

18 November 2018

Papers citing "CIFAR10 to Compare Visual Recognition Performance between Deep Neural Networks and Humans"

24 / 24 papers shown

Title
Can the early human visual system compete with Deep Neural Networks? Samuel F. Dodge Lina Karam 25 16 0 12 Oct 2017
Improved Regularization of Convolutional Neural Networks with Cutout Terrance Devries Graham W. Taylor 86 3,739 0 15 Aug 2017
Comparing deep neural networks against humans: object recognition when the signal gets weaker Robert Geirhos David H. J. Janssen Heiko H. Schutt Jonas Rauber Matthias Bethge Felix Wichmann 59 244 0 21 Jun 2017
Shake-Shake regularization Xavier Gastaldi 3DPC BDL OOD 60 380 0 21 May 2017
A Study and Comparison of Human and Deep Learning Recognition Performance Under Visual Distortions Samuel F. Dodge Lina Karam 3DH 48 421 0 06 May 2017
Network Dissection: Quantifying Interpretability of Deep Visual Representations David Bau Bolei Zhou A. Khosla A. Oliva Antonio Torralba MILM FAtt 88 1,506 1 19 Apr 2017
Aggregated Residual Transformations for Deep Neural Networks Saining Xie Ross B. Girshick Piotr Dollár Zhuowen Tu Kaiming He 435 10,281 0 16 Nov 2016
Wide Residual Networks Sergey Zagoruyko N. Komodakis 268 7,951 0 23 May 2016
Understanding Deep Convolutional Networks S. Mallat FAtt AI4CE 99 639 0 19 Jan 2016
Deep Residual Learning for Image Recognition Kaiming He Xinming Zhang Shaoqing Ren Jian Sun MedIm 1.4K 192,638 0 10 Dec 2015
Deep Networks Can Resemble Human Feed-forward Vision in Invariant Object Recognition Saeed Reza Kheradpisheh M. Ghodrati M. Ganjtabesh T. Masquelier 51 176 0 17 Aug 2015
Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift Sergey Ioffe Christian Szegedy OOD 328 43,154 0 11 Feb 2015
Delving Deep into Rectifiers: Surpassing Human-Level Performance on ImageNet Classification Kaiming He Xinming Zhang Shaoqing Ren Jian Sun VLM 200 18,534 0 06 Feb 2015
Adam: A Method for Stochastic Optimization Diederik P. Kingma Jimmy Ba ODL 844 149,474 0 22 Dec 2014
MatConvNet - Convolutional Neural Networks for MATLAB Andrea Vedaldi Karel Lenc 260 2,947 0 15 Dec 2014
Deep Neural Networks are Easily Fooled: High Confidence Predictions for Unrecognizable Images Anh Totti Nguyen J. Yosinski Jeff Clune AAML 127 3,261 0 05 Dec 2014
Long-term Recurrent Convolutional Networks for Visual Recognition and Description Jeff Donahue Lisa Anne Hendricks Marcus Rohrbach Subhashini Venugopalan S. Guadarrama Kate Saenko Trevor Darrell VLM 121 6,046 0 17 Nov 2014
Going Deeper with Convolutions Christian Szegedy Wei Liu Yangqing Jia P. Sermanet Scott E. Reed Dragomir Anguelov D. Erhan Vincent Vanhoucke Andrew Rabinovich 333 43,511 0 17 Sep 2014
Very Deep Convolutional Networks for Large-Scale Image Recognition Karen Simonyan Andrew Zisserman FAtt MDE 952 99,991 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 1.1K 39,383 0 01 Sep 2014
Deep Neural Networks Rival the Representation of Primate IT Cortex for Core Visual Object Recognition C. Cadieu Ha Hong Daniel L. K. Yamins Nicolas Pinto Diego Ardila E. Solomon N. Majaj J. DiCarlo 59 784 0 12 Jun 2014
Deep Learning in Neural Networks: An Overview Jürgen Schmidhuber HAI 176 16,311 0 30 Apr 2014
Network In Network Min Lin Qiang Chen Shuicheng Yan 227 6,267 0 16 Dec 2013
Representation Learning: A Review and New Perspectives Yoshua Bengio Aaron Courville Pascal Vincent OOD SSL 184 12,384 0 24 Jun 2012