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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
Resilience of Vision Transformers for Domain Generalisation in the Presence of Out-of-Distribution Noisy Images
Resilience of Vision Transformers for Domain Generalisation in the Presence of Out-of-Distribution Noisy Images
Hamza Riaz
A. Smeaton
41
0
0
05 Apr 2025
A Comprehensive Survey of Foundation Models in Medicine
A Comprehensive Survey of Foundation Models in Medicine
Wasif Khan
Seowung Leem
Kyle B. See
Joshua K. Wong
Shaoting Zhang
R. Fang
AI4CE
LM&MA
VLM
102
18
0
17 Jan 2025
On the Ability of Deep Networks to Learn Symmetries from Data: A Neural
  Kernel Theory
On the Ability of Deep Networks to Learn Symmetries from Data: A Neural Kernel Theory
Andrea Perin
Stéphane Deny
90
1
0
16 Dec 2024
AdvDreamer Unveils: Are Vision-Language Models Truly Ready for Real-World 3D Variations?
AdvDreamer Unveils: Are Vision-Language Models Truly Ready for Real-World 3D Variations?
Shouwei Ruan
Hanqin Liu
Yao Huang
Xiaoqi Wang
Caixin Kang
Hang Su
Yinpeng Dong
Xingxing Wei
VGen
93
0
0
04 Dec 2024
Optimizing importance weighting in the presence of sub-population shifts
Optimizing importance weighting in the presence of sub-population shifts
Floris Holstege
Bram Wouters
Noud van Giersbergen
C. Diks
24
0
0
18 Oct 2024
Evaluating the Generalization Ability of Spatiotemporal Model in Urban
  Scenario
Evaluating the Generalization Ability of Spatiotemporal Model in Urban Scenario
Hongjun Wang
Jiyuan Chen
Tong Pan
Zheng Dong
Lingyu Zhang
Renhe Jiang
Xuan Song
OOD
76
2
0
07 Oct 2024
Explicitly Modeling Pre-Cortical Vision with a Neuro-Inspired Front-End
  Improves CNN Robustness
Explicitly Modeling Pre-Cortical Vision with a Neuro-Inspired Front-End Improves CNN Robustness
Lucas Piper
Arlindo L. Oliveira
Tiago Marques
25
1
0
25 Sep 2024
Image Class Translation Distance: A Novel Interpretable Feature for
  Image Classification
Image Class Translation Distance: A Novel Interpretable Feature for Image Classification
Mikyla K. Bowen
Jesse W. Wilson
VLM
MedIm
23
0
0
16 Aug 2024
Understanding How Blind Users Handle Object Recognition Errors:
  Strategies and Challenges
Understanding How Blind Users Handle Object Recognition Errors: Strategies and Challenges
Jonggi Hong
Hernisa Kacorri
HAI
26
2
0
06 Aug 2024
Exploring the Impact of Hand Pose and Shadow on Hand-washing Action
  Recognition
Exploring the Impact of Hand Pose and Shadow on Hand-washing Action Recognition
Shengtai Ju
A. Reibman
CVBM
36
1
0
19 Jun 2024
Sharpness-Aware Minimization Enhances Feature Quality via Balanced
  Learning
Sharpness-Aware Minimization Enhances Feature Quality via Balanced Learning
Jacob Mitchell Springer
Vaishnavh Nagarajan
Aditi Raghunathan
37
5
0
30 May 2024
Omniview-Tuning: Boosting Viewpoint Invariance of Vision-Language
  Pre-training Models
Omniview-Tuning: Boosting Viewpoint Invariance of Vision-Language Pre-training Models
Shouwei Ruan
Yinpeng Dong
Hanqing Liu
Yao Huang
Hang Su
Xingxing Wei
VLM
45
1
0
18 Apr 2024
How Deep Networks Learn Sparse and Hierarchical Data: the Sparse Random
  Hierarchy Model
How Deep Networks Learn Sparse and Hierarchical Data: the Sparse Random Hierarchy Model
Umberto M. Tomasini
M. Wyart
BDL
29
7
0
16 Apr 2024
ObjectCompose: Evaluating Resilience of Vision-Based Models on
  Object-to-Background Compositional Changes
ObjectCompose: Evaluating Resilience of Vision-Based Models on Object-to-Background Compositional Changes
H. Malik
Muhammad Huzaifa
Muzammal Naseer
Salman Khan
Fahad Shahbaz Khan
DiffM
40
2
0
07 Mar 2024
Spuriosity Rankings for Free: A Simple Framework for Last Layer
  Retraining Based on Object Detection
Spuriosity Rankings for Free: A Simple Framework for Last Layer Retraining Based on Object Detection
Mohammad Azizmalayeri
Reza Abbasi
Amir Hosein Haji Mohammad Rezaie
Reihaneh Zohrabi
Mahdi Amiri
M. T. Manzuri
M. Rohban
19
0
0
31 Oct 2023
CoinRun: Solving Goal Misgeneralisation
CoinRun: Solving Goal Misgeneralisation
Stuart Armstrong
Alexandre Maranhao
Oliver Daniels-Koch
Ioannis Gkioulekas
Rebecca Gormann
LRM
27
0
0
28 Sep 2023
SHIFT3D: Synthesizing Hard Inputs For Tricking 3D Detectors
SHIFT3D: Synthesizing Hard Inputs For Tricking 3D Detectors
Hongge Chen
Zhao Chen
Gregory P. Meyer
Dennis Park
Carl Vondrick
Ashish Shrivastava
Yuning Chai
3DPC
15
3
0
11 Sep 2023
Curating Naturally Adversarial Datasets for Learning-Enabled Medical
  Cyber-Physical Systems
Curating Naturally Adversarial Datasets for Learning-Enabled Medical Cyber-Physical Systems
Sydney Pugh
I. Ruchkin
Insup Lee
James Weimer
AAML
OOD
13
0
0
01 Sep 2023
Patient-specific, mechanistic models of tumor growth incorporating
  artificial intelligence and big data
Patient-specific, mechanistic models of tumor growth incorporating artificial intelligence and big data
G. Lorenzo
Syed Rakin Ahmed
D. Hormuth
Brenna Vaughn
Jayashree Kalpathy-Cramer
Luis Solorio
T. Yankeelov
H. Gómez
AI4CE
27
13
0
28 Aug 2023
Approaching human 3D shape perception with neurally mappable models
Approaching human 3D shape perception with neurally mappable models
Thomas P. O'Connell
Tyler Bonnen
Yoni Friedman
A. Tewari
J. Tenenbaum
Vincent Sitzmann
Nancy Kanwisher
3DH
3DV
42
6
0
22 Aug 2023
PUG: Photorealistic and Semantically Controllable Synthetic Data for
  Representation Learning
PUG: Photorealistic and Semantically Controllable Synthetic Data for Representation Learning
Florian Bordes
Shashank Shekhar
Mark Ibrahim
Diane Bouchacourt
Pascal Vincent
Ari S. Morcos
25
26
0
08 Aug 2023
Improving Viewpoint Robustness for Visual Recognition via Adversarial
  Training
Improving Viewpoint Robustness for Visual Recognition via Adversarial Training
Shouwei Ruan
Yinpeng Dong
Han Su
Jianteng Peng
Ning Chen
Xingxing Wei
17
5
0
21 Jul 2023
On the Fly Neural Style Smoothing for Risk-Averse Domain Generalization
On the Fly Neural Style Smoothing for Risk-Averse Domain Generalization
Akshay Mehra
Yunbei Zhang
B. Kailkhura
Jihun Hamm
23
2
0
17 Jul 2023
Towards Viewpoint-Invariant Visual Recognition via Adversarial Training
Towards Viewpoint-Invariant Visual Recognition via Adversarial Training
Shouwei Ruan
Yinpeng Dong
Han Su
Jianteng Peng
Ning Chen
Xingxing Wei
OOD
22
9
0
16 Jul 2023
A Causal Framework to Unify Common Domain Generalization Approaches
A Causal Framework to Unify Common Domain Generalization Approaches
N. Zhang
Kaican Li
Han Gao
Weiyan Xie
Zhi Lin
Z. Li
Luning Wang
Yongxiang Huang
FedML
OOD
AI4CE
16
2
0
13 Jul 2023
Fooling Contrastive Language-Image Pre-trained Models with
  CLIPMasterPrints
Fooling Contrastive Language-Image Pre-trained Models with CLIPMasterPrints
Matthias Anton Freiberger
Peter Kun
Christian Igel
A. Løvlie
S. Risi
VLM
AAML
32
2
0
07 Jul 2023
Using Multiple Dermoscopic Photographs of One Lesion Improves Melanoma
  Classification via Deep Learning: A Prognostic Diagnostic Accuracy Study
Using Multiple Dermoscopic Photographs of One Lesion Improves Melanoma Classification via Deep Learning: A Prognostic Diagnostic Accuracy Study
A. Hekler
Roman C. Maron
Sarah Haggenmuller
Max Schmitt
Christoph Wies
...
Matthias Goebeler
Bastian Schilling
Jakob N. Kather
E. Krieghoff-Henning
T. Brinker
12
3
0
05 Jun 2023
Are Deep Neural Networks Adequate Behavioural Models of Human Visual
  Perception?
Are Deep Neural Networks Adequate Behavioural Models of Human Visual Perception?
Felix Wichmann
Robert Geirhos
30
25
0
26 May 2023
Consistency Regularization for Domain Generalization with Logit
  Attribution Matching
Consistency Regularization for Domain Generalization with Logit Attribution Matching
Han Gao
Kaican Li
Weiyan Xie
Zhi Lin
Yongxiang Huang
Luning Wang
Caleb Chen Cao
N. Zhang
13
2
0
13 May 2023
Benchmarking Low-Shot Robustness to Natural Distribution Shifts
Benchmarking Low-Shot Robustness to Natural Distribution Shifts
Aaditya K. Singh
Kartik Sarangmath
Prithvijit Chattopadhyay
Judy Hoffman
OOD
36
1
0
21 Apr 2023
Investigating the Nature of 3D Generalization in Deep Neural Networks
Investigating the Nature of 3D Generalization in Deep Neural Networks
Shoaib Ahmed Siddiqui
David M. Krueger
Thomas Breuel
11
2
0
19 Apr 2023
Creating Large Language Model Resistant Exams: Guidelines and Strategies
Creating Large Language Model Resistant Exams: Guidelines and Strategies
Simon Larsén
ELM
14
4
0
18 Apr 2023
OOD-CV-v2: An extended Benchmark for Robustness to Out-of-Distribution
  Shifts of Individual Nuisances in Natural Images
OOD-CV-v2: An extended Benchmark for Robustness to Out-of-Distribution Shifts of Individual Nuisances in Natural Images
Bingchen Zhao
Jiahao Wang
Wufei Ma
Artur Jesslen
Si-Jia Yang
Shaozuo Yu
O. Zendel
Christian Theobalt
Alan Yuille
Adam Kortylewski
29
8
0
17 Apr 2023
ImageNet-Hard: The Hardest Images Remaining from a Study of the Power of
  Zoom and Spatial Biases in Image Classification
ImageNet-Hard: The Hardest Images Remaining from a Study of the Power of Zoom and Spatial Biases in Image Classification
Mohammad Reza Taesiri
Giang Nguyen
Sarra Habchi
C. Bezemer
Anh Totti Nguyen
VLM
32
20
0
11 Apr 2023
GeoNet: Benchmarking Unsupervised Adaptation across Geographies
GeoNet: Benchmarking Unsupervised Adaptation across Geographies
Tarun Kalluri
Wangdong Xu
Manmohan Chandraker
OOD
18
15
0
27 Mar 2023
Deephys: Deep Electrophysiology, Debugging Neural Networks under
  Distribution Shifts
Deephys: Deep Electrophysiology, Debugging Neural Networks under Distribution Shifts
Anirban Sarkar
Matthew Groth
I. Mason
Tomotake Sasaki
Xavier Boix
11
1
0
17 Mar 2023
Dataset Interfaces: Diagnosing Model Failures Using Controllable
  Counterfactual Generation
Dataset Interfaces: Diagnosing Model Failures Using Controllable Counterfactual Generation
Joshua Vendrow
Saachi Jain
Logan Engstrom
A. Madry
OOD
12
34
0
15 Feb 2023
Shortcut Detection with Variational Autoencoders
Shortcut Detection with Variational Autoencoders
Nicolas M. Muller
Simon Roschmann
Shahbaz Khan
Philip Sperl
Konstantin Böttinger
AAML
DRL
24
1
0
08 Feb 2023
Model Monitoring and Robustness of In-Use Machine Learning Models:
  Quantifying Data Distribution Shifts Using Population Stability Index
Model Monitoring and Robustness of In-Use Machine Learning Models: Quantifying Data Distribution Shifts Using Population Stability Index
A. Khademi
M. Hopka
Devesh Upadhyay
OOD
30
3
0
01 Feb 2023
Counterfactual Explanation and Instance-Generation using
  Cycle-Consistent Generative Adversarial Networks
Counterfactual Explanation and Instance-Generation using Cycle-Consistent Generative Adversarial Networks
Tehseen Zia
Zeeshan Nisar
Shakeeb Murtaza
GAN
MedIm
21
0
0
21 Jan 2023
AQuaMaM: An Autoregressive, Quaternion Manifold Model for Rapidly
  Estimating Complex SO(3) Distributions
AQuaMaM: An Autoregressive, Quaternion Manifold Model for Rapidly Estimating Complex SO(3) Distributions
Michael A. Alcorn
27
0
0
21 Jan 2023
Vision Based Machine Learning Algorithms for Out-of-Distribution
  Generalisation
Vision Based Machine Learning Algorithms for Out-of-Distribution Generalisation
Hamza Riaz
A. Smeaton
OOD
29
2
0
17 Jan 2023
Objaverse: A Universe of Annotated 3D Objects
Objaverse: A Universe of Annotated 3D Objects
Matt Deitke
Dustin Schwenk
Jordi Salvador
Luca Weihs
Oscar Michel
Eli VanderBilt
Ludwig Schmidt
Kiana Ehsani
Aniruddha Kembhavi
Ali Farhadi
22
882
0
15 Dec 2022
You Only Need a Good Embeddings Extractor to Fix Spurious Correlations
You Only Need a Good Embeddings Extractor to Fix Spurious Correlations
Raghav Mehta
Vítor Albiero
Li Chen
Ivan Evtimov
Tamar Glaser
Zhiheng Li
Tal Hassner
26
17
0
12 Dec 2022
Contrastive View Design Strategies to Enhance Robustness to Domain
  Shifts in Downstream Object Detection
Contrastive View Design Strategies to Enhance Robustness to Domain Shifts in Downstream Object Detection
Kyle Buettner
Adriana Kovashka
20
2
0
09 Dec 2022
A Rubric for Human-like Agents and NeuroAI
A Rubric for Human-like Agents and NeuroAI
Ida Momennejad
52
14
0
08 Dec 2022
Models Developed for Spiking Neural Networks
Models Developed for Spiking Neural Networks
Shahriar Rezghi Shirsavar
A. Vahabie
M. Dehaqani
17
4
0
08 Dec 2022
Robust Speech Recognition via Large-Scale Weak Supervision
Robust Speech Recognition via Large-Scale Weak Supervision
Alec Radford
Jong Wook Kim
Tao Xu
Greg Brockman
C. McLeavey
Ilya Sutskever
OffRL
9
3,273
0
06 Dec 2022
Spuriosity Rankings: Sorting Data to Measure and Mitigate Biases
Spuriosity Rankings: Sorting Data to Measure and Mitigate Biases
Mazda Moayeri
Wenxiao Wang
Sahil Singla
S. Feizi
58
14
0
05 Dec 2022
Prediction of Scene Plausibility
Prediction of Scene Plausibility
O. Nachmias
Ohad Fried
Ariel Shamir
3DV
21
0
0
02 Dec 2022
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