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Strike (with) a Pose: Neural Networks Are Easily Fooled by Strange Poses
  of Familiar Objects

Strike (with) a Pose: Neural Networks Are Easily Fooled by Strange Poses of Familiar Objects

28 November 2018
Michael A. Alcorn
Melvin Johnson
Zhitao Gong
Chengfei Wang
Long Mai
Naveen Ari
Stella Laurenzo
ArXivPDFHTML

Papers citing "Strike (with) a Pose: Neural Networks Are Easily Fooled by Strange Poses of Familiar Objects"

17 / 167 papers shown
Title
Identity Preserve Transform: Understand What Activity Classification
  Models Have Learnt
Identity Preserve Transform: Understand What Activity Classification Models Have Learnt
Jialing Lyu
Weichao Qiu
Xinyue Wei
Yi Zhang
Alan Yuille
Zhengjun Zha
VLM
16
3
0
13 Dec 2019
AdvPC: Transferable Adversarial Perturbations on 3D Point Clouds
AdvPC: Transferable Adversarial Perturbations on 3D Point Clouds
Abdullah Hamdi
Sara Rojas
Ali K. Thabet
Bernard Ghanem
AAML
3DPC
20
127
0
01 Dec 2019
Continuous Adaptation for Interactive Object Segmentation by Learning
  from Corrections
Continuous Adaptation for Interactive Object Segmentation by Learning from Corrections
Theodora Kontogianni
Michael Gygli
J. Uijlings
V. Ferrari
CLL
VLM
20
58
0
28 Nov 2019
Identifying Model Weakness with Adversarial Examiner
Identifying Model Weakness with Adversarial Examiner
Michelle Shu
Chenxi Liu
Weichao Qiu
Alan Yuille
AAML
ELM
11
19
0
25 Nov 2019
The Origins and Prevalence of Texture Bias in Convolutional Neural
  Networks
The Origins and Prevalence of Texture Bias in Convolutional Neural Networks
Katherine L. Hermann
Ting Chen
Simon Kornblith
CVBM
19
21
0
20 Nov 2019
Fine-grained Synthesis of Unrestricted Adversarial Examples
Fine-grained Synthesis of Unrestricted Adversarial Examples
Omid Poursaeed
Tianxing Jiang
Yordanos Goshu
Harry Yang
Serge J. Belongie
Ser-Nam Lim
AAML
30
13
0
20 Nov 2019
Detecting semantic anomalies
Detecting semantic anomalies
Faruk Ahmed
Aaron Courville
9
84
0
13 Aug 2019
Shallow Unorganized Neural Networks using Smart Neuron Model for Visual
  Perception
Shallow Unorganized Neural Networks using Smart Neuron Model for Visual Perception
Richard M. Jiang
Danny Crookes
11
0
0
21 Jul 2019
Benchmarking Robustness in Object Detection: Autonomous Driving when
  Winter is Coming
Benchmarking Robustness in Object Detection: Autonomous Driving when Winter is Coming
Claudio Michaelis
Benjamin Mitzkus
Robert Geirhos
E. Rusak
Oliver Bringmann
Alexander S. Ecker
Matthias Bethge
Wieland Brendel
3DPC
19
436
0
17 Jul 2019
Invariance-inducing regularization using worst-case transformations
  suffices to boost accuracy and spatial robustness
Invariance-inducing regularization using worst-case transformations suffices to boost accuracy and spatial robustness
Fanny Yang
Zuowen Wang
C. Heinze-Deml
14
42
0
26 Jun 2019
Challenges and Prospects in Vision and Language Research
Challenges and Prospects in Vision and Language Research
Kushal Kafle
Robik Shrestha
Christopher Kanan
14
41
0
19 Apr 2019
Understanding Neural Networks via Feature Visualization: A survey
Understanding Neural Networks via Feature Visualization: A survey
Anh Nguyen
J. Yosinski
Jeff Clune
FAtt
9
160
0
18 Apr 2019
Towards Analyzing Semantic Robustness of Deep Neural Networks
Towards Analyzing Semantic Robustness of Deep Neural Networks
Abdullah Hamdi
Bernard Ghanem
AAML
17
17
0
09 Apr 2019
Deep Learning in steganography and steganalysis from 2015 to 2018
Deep Learning in steganography and steganalysis from 2015 to 2018
Marc Chaumont
6
48
0
31 Mar 2019
Bayesian Image Classification with Deep Convolutional Gaussian Processes
Bayesian Image Classification with Deep Convolutional Gaussian Processes
Vincent Dutordoir
Mark van der Wilk
A. Artemev
J. Hensman
UQCV
BDL
8
32
0
15 Feb 2019
SADA: Semantic Adversarial Diagnostic Attacks for Autonomous
  Applications
SADA: Semantic Adversarial Diagnostic Attacks for Autonomous Applications
Abdullah Hamdi
Matthias Muller
Bernard Ghanem
AAML
14
26
0
05 Dec 2018
Deep Nets: What have they ever done for Vision?
Deep Nets: What have they ever done for Vision?
Alan Yuille
Chenxi Liu
12
97
0
10 May 2018
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