Negative Results in Computer Vision: A Perspective

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Negative Results in Computer Vision: A Perspective

11 May 2017

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Papers citing "Negative Results in Computer Vision: A Perspective"

10 / 10 papers shown

Title
Comment on "Biologically inspired protection of deep networks from adversarial attacks" Wieland Brendel Matthias Bethge AAML 98 34 0 05 Apr 2017
Biologically inspired protection of deep networks from adversarial attacks Aran Nayebi Surya Ganguli AAML 73 115 0 27 Mar 2017
Using Human Brain Activity to Guide Machine Learning Ruth C. Fong Walter J. Scheirer David D. Cox 3DH 49 96 0 16 Mar 2017
Understanding Neural Networks Through Deep Visualization J. Yosinski Jeff Clune Anh Totti Nguyen Thomas J. Fuchs Hod Lipson FAtt AI4CE 126 1,875 0 22 Jun 2015
Deep Generative Image Models using a Laplacian Pyramid of Adversarial Networks Emily L. Denton Soumith Chintala Arthur Szlam Rob Fergus GAN 106 2,242 0 18 Jun 2015
Spatial Transformer Networks Max Jaderberg Karen Simonyan Andrew Zisserman Koray Kavukcuoglu 316 7,396 0 05 Jun 2015
Exploring Nearest Neighbor Approaches for Image Captioning Jacob Devlin Saurabh Gupta Ross B. Girshick Margaret Mitchell C. L. Zitnick 177 195 0 17 May 2015
Delving Deep into Rectifiers: Surpassing Human-Level Performance on ImageNet Classification Kaiming He Xinming Zhang Shaoqing Ren Jian Sun VLM 341 18,651 0 06 Feb 2015
Deep Neural Networks are Easily Fooled: High Confidence Predictions for Unrecognizable Images Anh Totti Nguyen J. Yosinski Jeff Clune AAML 171 3,275 0 05 Dec 2014
Visualizing and Understanding Convolutional Networks Matthew D. Zeiler Rob Fergus FAtt SSL 595 15,904 0 12 Nov 2013

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