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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"

50 / 167 papers shown
Title
Finding Differences Between Transformers and ConvNets Using
  Counterfactual Simulation Testing
Finding Differences Between Transformers and ConvNets Using Counterfactual Simulation Testing
Nataniel Ruiz
Sarah Adel Bargal
Cihang Xie
Kate Saenko
Stan Sclaroff
ViT
33
5
0
29 Nov 2022
Assessing Neural Network Robustness via Adversarial Pivotal Tuning
Assessing Neural Network Robustness via Adversarial Pivotal Tuning
Peter Ebert Christensen
Vésteinn Snaebjarnarson
Andrea Dittadi
Serge J. Belongie
Sagie Benaim
AAML
23
1
0
17 Nov 2022
ImageNet-X: Understanding Model Mistakes with Factor of Variation
  Annotations
ImageNet-X: Understanding Model Mistakes with Factor of Variation Annotations
Badr Youbi Idrissi
Diane Bouchacourt
Randall Balestriero
Ivan Evtimov
C. Hazirbas
Nicolas Ballas
Pascal Vincent
M. Drozdzal
David Lopez-Paz
Mark Ibrahim
VLM
ViT
39
45
0
03 Nov 2022
The Robustness Limits of SoTA Vision Models to Natural Variation
The Robustness Limits of SoTA Vision Models to Natural Variation
Mark Ibrahim
Q. Garrido
Ari S. Morcos
Diane Bouchacourt
VLM
35
16
0
24 Oct 2022
Robust Self-Supervised Learning with Lie Groups
Robust Self-Supervised Learning with Lie Groups
Mark Ibrahim
Diane Bouchacourt
Ari S. Morcos
SSL
OOD
33
6
0
24 Oct 2022
On Feature Learning in the Presence of Spurious Correlations
On Feature Learning in the Presence of Spurious Correlations
Pavel Izmailov
Polina Kirichenko
Nate Gruver
A. Wilson
31
116
0
20 Oct 2022
Human Body Measurement Estimation with Adversarial Augmentation
Human Body Measurement Estimation with Adversarial Augmentation
Nataniel Ruiz
Míriam Bellver
Timo Bolkart
Ambuj Arora
Ming-Chia Lin
Javier Romero
Raj Bala
3DH
37
3
0
11 Oct 2022
ViewFool: Evaluating the Robustness of Visual Recognition to Adversarial
  Viewpoints
ViewFool: Evaluating the Robustness of Visual Recognition to Adversarial Viewpoints
Yinpeng Dong
Shouwei Ruan
Hang Su
Cai Kang
Xingxing Wei
Junyi Zhu
AAML
28
50
0
08 Oct 2022
How deep convolutional neural networks lose spatial information with
  training
How deep convolutional neural networks lose spatial information with training
Umberto M. Tomasini
Leonardo Petrini
Francesco Cagnetta
M. Wyart
41
9
0
04 Oct 2022
A Survey on Physical Adversarial Attack in Computer Vision
A Survey on Physical Adversarial Attack in Computer Vision
Donghua Wang
Wen Yao
Tingsong Jiang
Guijian Tang
Xiaoqian Chen
AAML
51
38
0
28 Sep 2022
Explicit Tradeoffs between Adversarial and Natural Distributional
  Robustness
Explicit Tradeoffs between Adversarial and Natural Distributional Robustness
Mazda Moayeri
Kiarash Banihashem
S. Feizi
OOD
72
21
0
15 Sep 2022
Neuromorphic Visual Scene Understanding with Resonator Networks
Neuromorphic Visual Scene Understanding with Resonator Networks
Alpha Renner
Lazar Supic
Andreea Danielescu
Giacomo Indiveri
Bruno A. Olshausen
Yulia Sandamirskaya
Friedrich T. Sommer
E. P. Frady
26
19
0
26 Aug 2022
Pix4Point: Image Pretrained Standard Transformers for 3D Point Cloud
  Understanding
Pix4Point: Image Pretrained Standard Transformers for 3D Point Cloud Understanding
Guocheng Qian
Abdullah Hamdi
Xingdi Zhang
Bernard Ghanem
3DPC
ViT
22
4
0
25 Aug 2022
Equivariant Disentangled Transformation for Domain Generalization under
  Combination Shift
Equivariant Disentangled Transformation for Domain Generalization under Combination Shift
Yivan Zhang
Jindong Wang
Xingxu Xie
Masashi Sugiyama
OOD
36
1
0
03 Aug 2022
Visual correspondence-based explanations improve AI robustness and
  human-AI team accuracy
Visual correspondence-based explanations improve AI robustness and human-AI team accuracy
Giang Nguyen
Mohammad Reza Taesiri
Anh Totti Nguyen
30
42
0
26 Jul 2022
Progress and limitations of deep networks to recognize objects in
  unusual poses
Progress and limitations of deep networks to recognize objects in unusual poses
Amro Abbas
Stéphane Deny
OOD
AAML
13
17
0
16 Jul 2022
Estimating Test Performance for AI Medical Devices under Distribution
  Shift with Conformal Prediction
Estimating Test Performance for AI Medical Devices under Distribution Shift with Conformal Prediction
Charles Lu
Syed Rakin Ahmed
Praveer Singh
Jayashree Kalpathy-Cramer
OOD
25
5
0
12 Jul 2022
Monitoring Shortcut Learning using Mutual Information
Monitoring Shortcut Learning using Mutual Information
Mohammed Adnan
Yani Andrew Ioannou
Chuan-Yung Tsai
A. Galloway
H. R. Tizhoosh
Graham W. Taylor
23
5
0
27 Jun 2022
Leveraging Systematic Knowledge of 2D Transformations
Leveraging Systematic Knowledge of 2D Transformations
Jiachen Kang
W. Jia
Xiangjian He
6
4
0
02 Jun 2022
Landslide4Sense: Reference Benchmark Data and Deep Learning Models for
  Landslide Detection
Landslide4Sense: Reference Benchmark Data and Deep Learning Models for Landslide Detection
O. Ghorbanzadeh
Yonghao Xu
Pedram Ghamis
Michael K Kopp
David P. Kreil
34
93
0
01 Jun 2022
How explainable are adversarially-robust CNNs?
How explainable are adversarially-robust CNNs?
Mehdi Nourelahi
Lars Kotthoff
Peijie Chen
Anh Totti Nguyen
AAML
FAtt
22
8
0
25 May 2022
NICO++: Towards Better Benchmarking for Domain Generalization
NICO++: Towards Better Benchmarking for Domain Generalization
Xingxuan Zhang
Linjun Zhou
Renzhe Xu
Haoxin Liu
Zheyan Shen
Peng Cui
OOD
28
75
0
17 Apr 2022
Last Layer Re-Training is Sufficient for Robustness to Spurious
  Correlations
Last Layer Re-Training is Sufficient for Robustness to Spurious Correlations
Polina Kirichenko
Pavel Izmailov
A. Wilson
OOD
34
314
0
06 Apr 2022
Treatment Learning Causal Transformer for Noisy Image Classification
Treatment Learning Causal Transformer for Noisy Image Classification
Chao-Han Huck Yang
I-Te Danny Hung
Yi-Chieh Liu
Pin-Yu Chen
ViT
16
7
0
29 Mar 2022
CLIP meets GamePhysics: Towards bug identification in gameplay videos
  using zero-shot transfer learning
CLIP meets GamePhysics: Towards bug identification in gameplay videos using zero-shot transfer learning
Mohammad Reza Taesiri
Finlay Macklon
C. Bezemer
CLIP
11
13
0
21 Mar 2022
CapsNet for Medical Image Segmentation
CapsNet for Medical Image Segmentation
Minh-Trieu Tran
Viet-Khoa Vo-Ho
Kyle Quinn
Hien Nguyen
Khoa Luu
Ngan Le
MedIm
13
5
0
16 Mar 2022
Towards understanding deep learning with the natural clustering prior
Towards understanding deep learning with the natural clustering prior
Simon Carbonnelle
11
0
0
15 Mar 2022
Resource-Efficient Invariant Networks: Exponential Gains by Unrolled
  Optimization
Resource-Efficient Invariant Networks: Exponential Gains by Unrolled Optimization
Sam Buchanan
Jingkai Yan
Ellie Haber
John N. Wright
10
3
0
09 Mar 2022
Vision Models Are More Robust And Fair When Pretrained On Uncurated
  Images Without Supervision
Vision Models Are More Robust And Fair When Pretrained On Uncurated Images Without Supervision
Priya Goyal
Quentin Duval
Isaac Seessel
Mathilde Caron
Ishan Misra
Levent Sagun
Armand Joulin
Piotr Bojanowski
VLM
SSL
26
110
0
16 Feb 2022
Certifying Model Accuracy under Distribution Shifts
Certifying Model Accuracy under Distribution Shifts
Aounon Kumar
Alexander Levine
Tom Goldstein
S. Feizi
OOD
11
7
0
28 Jan 2022
Prospective Learning: Principled Extrapolation to the Future
Prospective Learning: Principled Extrapolation to the Future
Ashwin De Silva
Rahul Ramesh
Pallavi V. Kulkarni
M. Shuler
Noah J. Cowan
...
Andrei A. Rusu
Timothy D. Verstynen
Konrad Paul Kording
Pratik Chaudhari
Joshua T. Vogelstein
AI4TS
34
2
0
19 Jan 2022
Symmetry Perception by Deep Networks: Inadequacy of Feed-Forward
  Architectures and Improvements with Recurrent Connections
Symmetry Perception by Deep Networks: Inadequacy of Feed-Forward Architectures and Improvements with Recurrent Connections
Shobhita Sundaram
Darius Sinha
Matthew Groth
Tomotake Sasaki
Xavier Boix
19
1
0
08 Dec 2021
OOD-CV: A Benchmark for Robustness to Out-of-Distribution Shifts of
  Individual Nuisances in Natural Images
OOD-CV: A Benchmark for Robustness to Out-of-Distribution Shifts of Individual Nuisances in Natural Images
Bingchen Zhao
Shaozuo Yu
Wufei Ma
M. Yu
Shenxiao Mei
Angtian Wang
Ju He
Alan Yuille
Adam Kortylewski
23
53
0
29 Nov 2021
Three approaches to facilitate DNN generalization to objects in
  out-of-distribution orientations and illuminations
Three approaches to facilitate DNN generalization to objects in out-of-distribution orientations and illuminations
Akira Sakai
Taro Sunagawa
Spandan Madan
Kanata Suzuki
Takashi Katoh
Hiromichi Kobashi
Hanspeter Pfister
Pawan Sinha
Xavier Boix
Tomotake Sasaki
13
2
0
30 Oct 2021
Simple data balancing achieves competitive worst-group-accuracy
Simple data balancing achieves competitive worst-group-accuracy
Badr Youbi Idrissi
Martín Arjovsky
Mohammad Pezeshki
David Lopez-Paz
28
173
0
27 Oct 2021
Neural View Synthesis and Matching for Semi-Supervised Few-Shot Learning
  of 3D Pose
Neural View Synthesis and Matching for Semi-Supervised Few-Shot Learning of 3D Pose
Angtian Wang
Shenxiao Mei
Alan Yuille
Adam Kortylewski
3DV
13
21
0
27 Oct 2021
CausalAF: Causal Autoregressive Flow for Safety-Critical Driving
  Scenario Generation
CausalAF: Causal Autoregressive Flow for Safety-Critical Driving Scenario Generation
Wenhao Ding
Hao-ming Lin
Bo-wen Li
Ding Zhao
21
28
0
26 Oct 2021
ProtoShotXAI: Using Prototypical Few-Shot Architecture for Explainable
  AI
ProtoShotXAI: Using Prototypical Few-Shot Architecture for Explainable AI
Samuel Hess
G. Ditzler
AAML
19
1
0
22 Oct 2021
A Fine-Grained Analysis on Distribution Shift
A Fine-Grained Analysis on Distribution Shift
Olivia Wiles
Sven Gowal
Florian Stimberg
Sylvestre-Alvise Rebuffi
Ira Ktena
Krishnamurthy Dvijotham
A. Cemgil
OOD
220
201
0
21 Oct 2021
Towards Data-Free Domain Generalization
Towards Data-Free Domain Generalization
A. Frikha
Haokun Chen
Denis Krompass
Thomas Runkler
Volker Tresp
OOD
36
14
0
09 Oct 2021
Towards a theory of out-of-distribution learning
Towards a theory of out-of-distribution learning
Jayanta Dey
Ali Geisa
Ronak D. Mehta
Tyler M. Tomita
Hayden S. Helm
Haoyin Xu
Eric Eaton
Jeffery Dick
Carey E. Priebe
Joshua T. Vogelstein
OOD
31
20
0
29 Sep 2021
Emergent Neural Network Mechanisms for Generalization to Objects in
  Novel Orientations
Emergent Neural Network Mechanisms for Generalization to Objects in Novel Orientations
A. Cooper
Xavier Boix
Daniel Harari
Spandan Madan
Hanspeter Pfister
Tomotake Sasaki
Pawan Sinha
AI4CE
20
1
0
28 Sep 2021
Capsule networks with non-iterative cluster routing
Capsule networks with non-iterative cluster routing
Zhihao Zhao
Samuel Cheng
12
9
0
19 Sep 2021
Robust Inverse Framework using Knowledge-guided Self-Supervised
  Learning: An application to Hydrology
Robust Inverse Framework using Knowledge-guided Self-Supervised Learning: An application to Hydrology
Rahul Ghosh
Arvind Renganathan
Kshitij Tayal
Xiang Li
A. Khandelwal
X. Jia
C. Duffy
J. Neiber
Vipin Kumar
25
23
0
14 Sep 2021
MOMENTA: A Multimodal Framework for Detecting Harmful Memes and Their
  Targets
MOMENTA: A Multimodal Framework for Detecting Harmful Memes and Their Targets
Shraman Pramanick
Shivam Sharma
Dimitar Dimitrov
Md. Shad Akhtar
Preslav Nakov
Tanmoy Chakraborty
6
117
0
11 Sep 2021
Discovery of New Multi-Level Features for Domain Generalization via
  Knowledge Corruption
Discovery of New Multi-Level Features for Domain Generalization via Knowledge Corruption
A. Frikha
Denis Krompass
Volker Tresp
OOD
32
1
0
09 Sep 2021
Robustness and Generalization via Generative Adversarial Training
Robustness and Generalization via Generative Adversarial Training
Omid Poursaeed
Tianxing Jiang
Harry Yang
Serge J. Belongie
SerNam Lim
OOD
AAML
11
26
0
06 Sep 2021
Robust fine-tuning of zero-shot models
Robust fine-tuning of zero-shot models
Mitchell Wortsman
Gabriel Ilharco
Jong Wook Kim
Mike Li
Simon Kornblith
...
Raphael Gontijo-Lopes
Hannaneh Hajishirzi
Ali Farhadi
Hongseok Namkoong
Ludwig Schmidt
VLM
23
688
0
04 Sep 2021
Comparing object recognition in humans and deep convolutional neural
  networks -- An eye tracking study
Comparing object recognition in humans and deep convolutional neural networks -- An eye tracking study
Leonard E. van Dyck
Roland Kwitt
Sebastian J. Denzler
W. Gruber
10
55
0
30 Jul 2021
Responsible and Regulatory Conform Machine Learning for Medicine: A
  Survey of Challenges and Solutions
Responsible and Regulatory Conform Machine Learning for Medicine: A Survey of Challenges and Solutions
Eike Petersen
Yannik Potdevin
Esfandiar Mohammadi
Stephan Zidowitz
Sabrina Breyer
...
Sandra Henn
Ludwig Pechmann
M. Leucker
P. Rostalski
Christian Herzog
FaML
AILaw
OOD
27
21
0
20 Jul 2021
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