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

28 November 2018

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

50 / 167 papers shown

Title
Dealing with Adversarial Player Strategies in the Neural Network Game iNNk through Ensemble Learning Mathias Löwe Jennifer Villareale Evan Freed Aleksanteri Sladek Jichen Zhu S. Risi AAML 28 5 0 05 Jul 2021
Attack to Fool and Explain Deep Networks Naveed Akhtar M. Jalwana Bennamoun Ajmal Saeed Mian AAML 14 33 0 20 Jun 2021
Partial success in closing the gap between human and machine vision Robert Geirhos Kantharaju Narayanappa Benjamin Mitzkus Tizian Thieringer Matthias Bethge Felix Wichmann Wieland Brendel VLM AAML 40 221 0 14 Jun 2021
Grounding inductive biases in natural images:invariance stems from variations in data Diane Bouchacourt Mark Ibrahim Ari S. Morcos OOD 38 25 0 09 Jun 2021
Understanding Softmax Confidence and Uncertainty Tim Pearce Alexandra Brintrup Jun Zhu UQCV 9 87 0 09 Jun 2021
Simulated Adversarial Testing of Face Recognition Models Nataniel Ruiz Adam Kortylewski Weichao Qiu Cihang Xie Sarah Adel Bargal Alan Yuille Stan Sclaroff AAML CVBM 16 15 0 08 Jun 2021
Semantically Adversarial Scenario Generation with Explicit Knowledge Guidance Wenhao Ding Hao-ming Lin Bo-wen Li Ding Zhao GAN 17 0 0 08 Jun 2021
3DB: A Framework for Debugging Computer Vision Models Guillaume Leclerc Hadi Salman Andrew Ilyas Sai H. Vemprala Logan Engstrom ... Pengchuan Zhang Shibani Santurkar Greg Yang Ashish Kapoor A. Madry 38 40 0 07 Jun 2021
OoD-Bench: Quantifying and Understanding Two Dimensions of Out-of-Distribution Generalization Nanyang Ye Kaican Li Haoyue Bai Runpeng Yu Lanqing Hong Fengwei Zhou Zhenguo Li Jun Zhu CML OOD 34 106 0 07 Jun 2021
The effectiveness of feature attribution methods and its correlation with automatic evaluation scores Giang Nguyen Daeyoung Kim Anh Totti Nguyen FAtt 16 86 0 31 May 2021
Relative stability toward diffeomorphisms indicates performance in deep nets Leonardo Petrini Alessandro Favero Mario Geiger M. Wyart OOD 23 15 0 06 May 2021
Physical world assistive signals for deep neural network classifiers -- neither defense nor attack Camilo Pestana Wei Liu D. Glance R. Owens Ajmal Saeed Mian AAML 17 0 0 03 May 2021
Deformable Capsules for Object Detection Rodney LaLonde Naji Khosravan Ulas Bagci 12 3 0 11 Apr 2021
Beyond Question-Based Biases: Assessing Multimodal Shortcut Learning in Visual Question Answering Corentin Dancette Rémi Cadène Damien Teney Matthieu Cord CML 26 75 0 07 Apr 2021
Characterizing and Improving the Robustness of Self-Supervised Learning through Background Augmentations Chaitanya K. Ryali D. Schwab Ari S. Morcos SSL 24 9 0 23 Mar 2021
Generating Unrestricted Adversarial Examples via Three Parameters Hanieh Naderi Leili Goli S. Kasaei 33 8 0 13 Mar 2021
Learning Transferable Visual Models From Natural Language Supervision Alec Radford Jong Wook Kim Chris Hallacy Aditya A. Ramesh Gabriel Goh ... Amanda Askell Pamela Mishkin Jack Clark Gretchen Krueger Ilya Sutskever CLIP VLM 98 27,632 0 26 Feb 2021
Linear unit-tests for invariance discovery Benjamin Aubin A. Slowik Martín Arjovsky Léon Bottou David Lopez-Paz OOD 8 31 0 22 Feb 2021
Abstraction and Analogy-Making in Artificial Intelligence Melanie Mitchell 13 161 0 22 Feb 2021
Addressing the Topological Defects of Disentanglement via Distributed Operators Diane Bouchacourt Mark Ibrahim Stéphane Deny 11 22 0 10 Feb 2021
Counterfactual Generative Networks Axel Sauer Andreas Geiger OOD BDL CML 36 123 0 15 Jan 2021
Unadversarial Examples: Designing Objects for Robust Vision Hadi Salman Andrew Ilyas Logan Engstrom Sai H. Vemprala A. Madry Ashish Kapoor WIGM 62 59 0 22 Dec 2020
Computational principles of intelligence: learning and reasoning with neural networks Abel Torres Montoya PINN AI4CE 8 1 0 17 Dec 2020
Improving model calibration with accuracy versus uncertainty optimization R. Krishnan Omesh Tickoo UQCV 188 157 0 14 Dec 2020
An Analysis of Deep Object Detectors For Diver Detection Karin de Langis Michael Fulton Junaed Sattar ObjD 12 10 0 25 Nov 2020
Adversarial Robust Training of Deep Learning MRI Reconstruction Models Francesco Calivá Kaiyang Cheng Rutwik Shah V. Pedoia OOD AAML MedIm 17 10 0 30 Oct 2020
Optimism in the Face of Adversity: Understanding and Improving Deep Learning through Adversarial Robustness Guillermo Ortiz-Jiménez Apostolos Modas Seyed-Mohsen Moosavi-Dezfooli P. Frossard AAML 21 48 0 19 Oct 2020
LEGAN: Disentangled Manipulation of Directional Lighting and Facial Expressions by Leveraging Human Perceptual Judgements Sandipan Banerjee Ajjen Joshi Prashant Mahajan Sneha Bhattacharya Survi Kyal Taniya Mishra CVBM DRL 23 3 0 04 Oct 2020
Shift Equivariance in Object Detection M. Manfredi Yu Wang ObjD 14 18 0 13 Aug 2020
A Neural-Symbolic Framework for Mental Simulation Michael D Kissner 14 0 0 05 Aug 2020
Discrepancy Minimization in Domain Generalization with Generative Nearest Neighbors Prashant Pandey Mrigank Raman Sumanth Varambally A. Prathosh 6 1 0 28 Jul 2020
MirrorNet: Bio-Inspired Camouflaged Object Segmentation Jinnan Yan Trung-Nghia Le Khanh-Duy Nguyen M. Tran Thanh-Toan Do Tam V. Nguyen 19 24 0 25 Jul 2020
When and how CNNs generalize to out-of-distribution category-viewpoint combinations Spandan Madan Timothy M. Henry Jamell Dozier Helen Ho Nishchal Bhandari Tomotake Sasaki F. Durand Hanspeter Pfister Xavier Boix OOD 33 24 0 15 Jul 2020
Towards an Interface Description Template for AI-enabled Systems Niloofar Shadab A. Salado 11 2 0 13 Jul 2020
Seeing eye-to-eye? A comparison of object recognition performance in humans and deep convolutional neural networks under image manipulation Leonard E. van Dyck W. Gruber 19 3 0 13 Jul 2020
In Search of Lost Domain Generalization Ishaan Gulrajani David Lopez-Paz OOD 26 1,109 0 02 Jul 2020
Artificial Stupidity Michael Falk 11 4 0 02 Jul 2020
Differentiable Rendering: A Survey Hiroharu Kato D. Beker Mihai Morariu Takahiro Ando Toru Matsuoka Wadim Kehl Adrien Gaidon 3DH 3DV 18 174 0 22 Jun 2020
Overcoming Statistical Shortcuts for Open-ended Visual Counting Corentin Dancette Rémi Cadène Xinlei Chen Matthieu Cord 8 3 0 17 Jun 2020
Off-the-shelf deep learning is not enough: parsimony, Bayes and causality Rama K Vasudevan M. Ziatdinov L. Vlček Sergei V. Kalinin BDL CML AI4CE 6 0 0 04 May 2020
Shortcut Learning in Deep Neural Networks Robert Geirhos J. Jacobsen Claudio Michaelis R. Zemel Wieland Brendel Matthias Bethge Felix Wichmann 8 1,981 0 16 Apr 2020
Capsules for Biomedical Image Segmentation Rodney LaLonde Ziyue Xu Ismail Irmakci Sanjay Jain Ulas Bagci SSeg MedIm 11 0 0 09 Apr 2020
Prediction Confidence from Neighbors M. P. Philipsen T. Moeslund OODD 11 2 0 31 Mar 2020
Can we have it all? On the Trade-off between Spatial and Adversarial Robustness of Neural Networks Sandesh Kamath Amit Deshpande Subrahmanyam Kambhampati Venkata V. Balasubramanian 22 12 0 26 Feb 2020
Gödel's Sentence Is An Adversarial Example But Unsolvable Xiaodong Qi Lansheng Han AAML 12 0 0 25 Feb 2020
The Next Decade in AI: Four Steps Towards Robust Artificial Intelligence G. Marcus VLM 24 353 0 14 Feb 2020
Adversarial Filters of Dataset Biases Ronan Le Bras Swabha Swayamdipta Chandra Bhagavatula Rowan Zellers Matthew E. Peters Ashish Sabharwal Yejin Choi 34 220 0 10 Feb 2020
Safety Concerns and Mitigation Approaches Regarding the Use of Deep Learning in Safety-Critical Perception Tasks Oliver Willers Sebastian Sudholt Shervin Raafatnia Stephanie Abrecht 12 80 0 22 Jan 2020
Metamorphic Testing for Object Detection Systems Shuai Wang Z. Su 29 23 0 19 Dec 2019
A Shape Transformation-based Dataset Augmentation Framework for Pedestrian Detection Zhe Chen Wanli Ouyang Tongliang Liu Dacheng Tao ViT 19 23 0 15 Dec 2019