ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 1705.04402
  4. Cited By
Negative Results in Computer Vision: A Perspective
v1v2v3 (latest)

Negative Results in Computer Vision: A Perspective

11 May 2017
Ali Borji
ArXiv (abs)PDFHTML

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"
Comment on "Biologically inspired protection of deep networks from adversarial attacks"
Wieland Brendel
Matthias Bethge
AAML
101
34
0
05 Apr 2017
Biologically inspired protection of deep networks from adversarial
  attacks
Biologically inspired protection of deep networks from adversarial attacks
Aran Nayebi
Surya Ganguli
AAML
79
115
0
27 Mar 2017
Using Human Brain Activity to Guide Machine Learning
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
Understanding Neural Networks Through Deep Visualization
J. Yosinski
Jeff Clune
Anh Totti Nguyen
Thomas J. Fuchs
Hod Lipson
FAttAI4CE
126
1,875
0
22 Jun 2015
Deep Generative Image Models using a Laplacian Pyramid of Adversarial
  Networks
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
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
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
Delving Deep into Rectifiers: Surpassing Human-Level Performance on ImageNet Classification
Kaiming He
Xinming Zhang
Shaoqing Ren
Jian Sun
VLM
347
18,654
0
06 Feb 2015
Deep Neural Networks are Easily Fooled: High Confidence Predictions for
  Unrecognizable Images
Deep Neural Networks are Easily Fooled: High Confidence Predictions for Unrecognizable Images
Anh Totti Nguyen
J. Yosinski
Jeff Clune
AAML
174
3,275
0
05 Dec 2014
Visualizing and Understanding Convolutional Networks
Visualizing and Understanding Convolutional Networks
Matthew D. Zeiler
Rob Fergus
FAttSSL
595
15,904
0
12 Nov 2013
1