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Natural Adversarial Examples
v1v2v3v4 (latest)

Natural Adversarial Examples

Computer Vision and Pattern Recognition (CVPR), 2019
16 July 2019
Dan Hendrycks
Kevin Zhao
Steven Basart
Jacob Steinhardt
Basel Alomair
    OODD
ArXiv (abs)PDFHTML

Papers citing "Natural Adversarial Examples"

50 / 1,169 papers shown
Mixing Natural and Synthetic Images for Robust Self-Supervised
  Representations
Mixing Natural and Synthetic Images for Robust Self-Supervised Representations
Reza Akbarian Bafghi
Nidhin Harilal
C. Monteleoni
M. Raissi
DiffM
281
1
0
18 Jun 2024
BaFTA: Backprop-Free Test-Time Adaptation For Zero-Shot Vision-Language
  Models
BaFTA: Backprop-Free Test-Time Adaptation For Zero-Shot Vision-Language Models
Xuefeng Hu
Ke Zhang
Min Sun
Albert Y. C. Chen
Cheng-Hao Kuo
Ram Nevatia
VLM
154
3
0
17 Jun 2024
A Rate-Distortion View of Uncertainty Quantification
A Rate-Distortion View of Uncertainty Quantification
Ifigeneia Apostolopoulou
Benjamin Eysenbach
Frank Nielsen
Artur Dubrawski
UQCV
405
3
0
16 Jun 2024
Spuriousness-Aware Meta-Learning for Learning Robust Classifiers
Spuriousness-Aware Meta-Learning for Learning Robust Classifiers
Guangtao Zheng
Wenqian Ye
Aidong Zhang
257
7
0
15 Jun 2024
What Does Softmax Probability Tell Us about Classifiers Ranking Across
  Diverse Test Conditions?
What Does Softmax Probability Tell Us about Classifiers Ranking Across Diverse Test Conditions?
Weijie Tu
Weijian Deng
Liang Zheng
Tom Gedeon
308
5
0
14 Jun 2024
Assessing Model Generalization in Vicinity
Assessing Model Generalization in Vicinity
Yuchi Liu
Yifan Sun
Jingdong Wang
Liang Zheng
AAML
209
0
0
13 Jun 2024
Reflecting on the State of Rehearsal-free Continual Learning with Pretrained Models
Reflecting on the State of Rehearsal-free Continual Learning with Pretrained Models
Lukas Thede
Karsten Roth
Olivier J. Hénaff
Matthias Bethge
Zeynep Akata
CLL
333
6
0
13 Jun 2024
Autoregressive Pretraining with Mamba in Vision
Autoregressive Pretraining with Mamba in Vision
Sucheng Ren
Xianhang Li
Haoqin Tu
Feng Wang
Fangxun Shu
...
L. Yang
Peng Wang
Heng Wang
Alan Yuille
Cihang Xie
Mamba
246
17
0
11 Jun 2024
A Framework for Efficient Model Evaluation through Stratification,
  Sampling, and Estimation
A Framework for Efficient Model Evaluation through Stratification, Sampling, and Estimation
Riccardo Fogliato
Pratik Patil
Mathew Monfort
Pietro Perona
255
6
0
11 Jun 2024
Data Measurements for Decentralized Data Markets
Data Measurements for Decentralized Data Markets
Charles Lu
Mohammad Mohammadi Amiri
Ramesh Raskar
FedML
255
5
0
06 Jun 2024
Visual-Text Cross Alignment: Refining the Similarity Score in
  Vision-Language Models
Visual-Text Cross Alignment: Refining the Similarity Score in Vision-Language Models
Jinhao Li
Haopeng Li
S. Erfani
Bingquan Shen
James Bailey
Feng Liu
VLM
323
24
0
05 Jun 2024
Feature contamination: Neural networks learn uncorrelated features and fail to generalize
Feature contamination: Neural networks learn uncorrelated features and fail to generalize
Tianren Zhang
Chujie Zhao
Guanyu Chen
Yizhou Jiang
Feng Chen
OODMLTOODD
439
9
0
05 Jun 2024
An Empirical Study into Clustering of Unseen Datasets with
  Self-Supervised Encoders
An Empirical Study into Clustering of Unseen Datasets with Self-Supervised Encoders
Scott C. Lowe
Joakim Bruslund Haurum
Sageev Oore
T. Moeslund
Graham W. Taylor
SSL
238
5
0
04 Jun 2024
Boosting Vision-Language Models with Transduction
Boosting Vision-Language Models with Transduction
Maxime Zanella
Benoît Gérin
Ismail Ben Ayed
VLM
245
20
0
03 Jun 2024
Zero-Shot Out-of-Distribution Detection with Outlier Label Exposure
Zero-Shot Out-of-Distribution Detection with Outlier Label Exposure
Choubo Ding
Guansong Pang
OODDVLM
245
6
0
03 Jun 2024
Adapting Prediction Sets to Distribution Shifts Without Labels
Adapting Prediction Sets to Distribution Shifts Without Labels
Kevin Kasa
Zhiyu Zhang
Heng Yang
Graham W. Taylor
408
2
0
03 Jun 2024
Is Synthetic Data all We Need? Benchmarking the Robustness of Models
  Trained with Synthetic Images
Is Synthetic Data all We Need? Benchmarking the Robustness of Models Trained with Synthetic Images
Krishnakant Singh
Thanush Navaratnam
Jannik Holmer
Simone Schaub-Meyer
Stefan Roth
DiffM
247
39
0
30 May 2024
CLIPLoss and Norm-Based Data Selection Methods for Multimodal
  Contrastive Learning
CLIPLoss and Norm-Based Data Selection Methods for Multimodal Contrastive Learning
Yiping Wang
Yifang Chen
Wendan Yan
Alex Fang
Wenjing Zhou
Kevin Jamieson
S. Du
314
15
0
29 May 2024
Enhancing Vision-Language Model with Unmasked Token Alignment
Enhancing Vision-Language Model with Unmasked Token Alignment
Jihao Liu
Jinliang Zheng
Boxiao Liu
Yu Liu
Jiaming Song
CLIP
196
0
0
29 May 2024
EntProp: High Entropy Propagation for Improving Accuracy and Robustness
EntProp: High Entropy Propagation for Improving Accuracy and Robustness
Shohei Enomoto
AAML
234
1
0
29 May 2024
The Cost of Arbitrariness for Individuals: Examining the Legal and
  Technical Challenges of Model Multiplicity
The Cost of Arbitrariness for Individuals: Examining the Legal and Technical Challenges of Model Multiplicity
Prakhar Ganesh
Ihsan Ibrahim Daldaban
Ignacio Cofone
G. Farnadi
308
3
0
28 May 2024
Frustratingly Easy Test-Time Adaptation of Vision-Language Models
Frustratingly Easy Test-Time Adaptation of Vision-Language Models
Matteo Farina
Gianni Franchi
Giovanni Iacca
Goran Frehse
Elisa Ricci
VLM
288
21
0
28 May 2024
Towards Causal Physical Error Discovery in Video Analytics Systems
Towards Causal Physical Error Discovery in Video Analytics Systems
Jinjin Zhao
Ted Shaowang
Stavros Sintos
S. Krishnan
CML
144
0
0
27 May 2024
Synergy and Diversity in CLIP: Enhancing Performance Through Adaptive Backbone Ensembling
Synergy and Diversity in CLIP: Enhancing Performance Through Adaptive Backbone Ensembling
Cristian Rodriguez-Opazo
Ehsan Abbasnejad
Damien Teney
Edison Marrese-Taylor
Hamed Damirchi
Anton Van Den Hengel
VLM
346
1
0
27 May 2024
Multilingual Diversity Improves Vision-Language Representations
Multilingual Diversity Improves Vision-Language Representations
Thao Nguyen
Matthew Wallingford
Sebastin Santy
Wei-Chiu Ma
Sewoong Oh
Ludwig Schmidt
Pang Wei Koh
Ranjay Krishna
VLM
351
15
0
27 May 2024
Solving Probabilistic Verification Problems of Neural Networks using Branch and Bound
Solving Probabilistic Verification Problems of Neural Networks using Branch and Bound
David Boetius
Stefan Leue
Tobias Sutter
430
2
0
27 May 2024
Benchmarking and Improving Bird's Eye View Perception Robustness in Autonomous Driving
Benchmarking and Improving Bird's Eye View Perception Robustness in Autonomous Driving
Shaoyuan Xie
Lingdong Kong
Wenwei Zhang
Jiawei Ren
Liang Pan
Kai-xiang Chen
Ziwei Liu
AAML
298
31
0
27 May 2024
CRoFT: Robust Fine-Tuning with Concurrent Optimization for OOD
  Generalization and Open-Set OOD Detection
CRoFT: Robust Fine-Tuning with Concurrent Optimization for OOD Generalization and Open-Set OOD Detection
Lin Zhu
Yifeng Yang
Qinying Gu
Xinbing Wang
Cheng Zhou
Nanyang Ye
VLM
258
10
0
26 May 2024
Feature Protection For Out-of-distribution Generalization
Feature Protection For Out-of-distribution Generalization
Lu Tan
Huei Zhou
Yinxiang Huang
Zeming Zheng
Yujiu Yang
OODD
263
0
0
25 May 2024
Automatic Data Curation for Self-Supervised Learning: A Clustering-Based
  Approach
Automatic Data Curation for Self-Supervised Learning: A Clustering-Based Approach
Huy V. Vo
Vasil Khalidov
Timothée Darcet
Théo Moutakanni
Nikita Smetanin
...
Maxime Oquab
Armand Joulin
Edouard Grave
Patrick Labatut
Piotr Bojanowski
SSL
363
44
0
24 May 2024
Learning Invariant Causal Mechanism from Vision-Language Models
Learning Invariant Causal Mechanism from Vision-Language Models
Changwen Zheng
Siyu Zhao
Xingyu Zhang
Jiangmeng Li
Changwen Zheng
Jingyao Wang
CMLBDLVLM
444
1
0
24 May 2024
DEEM: Diffusion Models Serve as the Eyes of Large Language Models for Image Perception
DEEM: Diffusion Models Serve as the Eyes of Large Language Models for Image Perception
Run Luo
Yunshui Li
Longze Chen
Wanwei He
Ting-En Lin
...
Zikai Song
Xiaobo Xia
Tongliang Liu
Min Yang
Binyuan Hui
VLMDiffM
453
34
0
24 May 2024
A Lost Opportunity for Vision-Language Models: A Comparative Study of
  Online Test-time Adaptation for Vision-Language Models
A Lost Opportunity for Vision-Language Models: A Comparative Study of Online Test-time Adaptation for Vision-Language Models
Mario Döbler
Robert A. Marsden
Tobias Raichle
Bin Yang
VLM
209
10
0
23 May 2024
CLIPScope: Enhancing Zero-Shot OOD Detection with Bayesian Scoring
CLIPScope: Enhancing Zero-Shot OOD Detection with Bayesian ScoringIEEE Workshop/Winter Conference on Applications of Computer Vision (WACV), 2024
Hao Fu
Naman Patel
Prashanth Krishnamurthy
Farshad Khorrami
OODD
224
9
0
23 May 2024
Credal Wrapper of Model Averaging for Uncertainty Estimation in Classification
Credal Wrapper of Model Averaging for Uncertainty Estimation in ClassificationInternational Conference on Learning Representations (ICLR), 2024
Kaizheng Wang
Fabio Cuzzolin
Keivan K1 Shariatmadar
David Moens
Hans Hallez
UQCVBDL
324
6
0
23 May 2024
Harmony: A Joint Self-Supervised and Weakly-Supervised Framework for Learning General Purpose Visual Representations
Harmony: A Joint Self-Supervised and Weakly-Supervised Framework for Learning General Purpose Visual Representations
Mohammed Baharoon
Jonathan Klein
D. L. Michels
SSLVLM
479
0
0
23 May 2024
LookHere: Vision Transformers with Directed Attention Generalize and
  Extrapolate
LookHere: Vision Transformers with Directed Attention Generalize and Extrapolate
A. Fuller
Daniel G. Kyrollos
Yousef Yassin
James R. Green
336
4
0
22 May 2024
No Filter: Cultural and Socioeconomic Diversity in Contrastive
  Vision-Language Models
No Filter: Cultural and Socioeconomic Diversity in Contrastive Vision-Language Models
Angeline Pouget
Lucas Beyer
Emanuele Bugliarello
Xiao Wang
Andreas Steiner
Xiao-Qi Zhai
Ibrahim Alabdulmohsin
VLM
267
13
0
22 May 2024
Vision Transformer with Sparse Scan Prior
Vision Transformer with Sparse Scan Prior
Qihang Fan
Huaibo Huang
Mingrui Chen
ViT
386
8
0
22 May 2024
Transparency Distortion Robustness for SOTA Image Segmentation Tasks
Transparency Distortion Robustness for SOTA Image Segmentation Tasks
Volker Knauthe
Arne Rak
Tristan Wirth
Thomas Pollabauer
Simon Metzler
Arjan Kuijper
Dieter W. Fellner
201
3
0
21 May 2024
FeTT: Continual Class Incremental Learning via Feature Transformation
  Tuning
FeTT: Continual Class Incremental Learning via Feature Transformation Tuning
Sunyuan Qiang
Xuxin Lin
Yanyan Liang
Jun Wan
Du Zhang
CLL
247
1
0
20 May 2024
BEHAVIOR Vision Suite: Customizable Dataset Generation via Simulation
BEHAVIOR Vision Suite: Customizable Dataset Generation via SimulationComputer Vision and Pattern Recognition (CVPR), 2024
Yunhao Ge
Yihe Tang
Lyne Tchapmi
Cem Gokmen
Chengshu Li
...
Miao Liu
Pengchuan Zhang
Ruohan Zhang
Fei-Fei Li
Jiajun Wu
VGen
185
13
0
15 May 2024
Efficient Vision-Language Pre-training by Cluster Masking
Efficient Vision-Language Pre-training by Cluster MaskingComputer Vision and Pattern Recognition (CVPR), 2024
Zihao Wei
Zixuan Pan
Andrew Owens
VLM
312
15
0
14 May 2024
Investigating the Semantic Robustness of CLIP-based Zero-Shot Anomaly
  Segmentation
Investigating the Semantic Robustness of CLIP-based Zero-Shot Anomaly Segmentation
Kevin Stangl
Marius Arvinte
Weilin Xu
Cory Cornelius
VLMUQCV
257
3
0
13 May 2024
The Entropy Enigma: Success and Failure of Entropy Minimization
The Entropy Enigma: Success and Failure of Entropy MinimizationInternational Conference on Machine Learning (ICML), 2024
Ori Press
Ravid Shwartz-Ziv
Yann LeCun
Matthias Bethge
UQCV
485
22
0
08 May 2024
Is ReLU Adversarially Robust?
Is ReLU Adversarially Robust?
Korn Sooksatra
Greg Hamerly
Pablo Rivas
169
3
0
06 May 2024
Learning Robust Classifiers with Self-Guided Spurious Correlation
  Mitigation
Learning Robust Classifiers with Self-Guided Spurious Correlation MitigationInternational Joint Conference on Artificial Intelligence (IJCAI), 2024
Guangtao Zheng
Wenqian Ye
Aidong Zhang
234
11
0
06 May 2024
You Only Need Half: Boosting Data Augmentation by Using Partial Content
You Only Need Half: Boosting Data Augmentation by Using Partial Content
Juntao Hu
Yuan Wu
163
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05 May 2024
On the test-time zero-shot generalization of vision-language models: Do
  we really need prompt learning?
On the test-time zero-shot generalization of vision-language models: Do we really need prompt learning?Computer Vision and Pattern Recognition (CVPR), 2024
Maxime Zanella
Ismail Ben Ayed
VLMMLLM
240
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Explainable AI (XAI) in Image Segmentation in Medicine, Industry, and
  Beyond: A Survey
Explainable AI (XAI) in Image Segmentation in Medicine, Industry, and Beyond: A SurveyICT express (IE), 2024
Rokas Gipiškis
Chun-Wei Tsai
Olga Kurasova
333
30
0
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