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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
Post-pre-training for Modality Alignment in Vision-Language Foundation Models
Post-pre-training for Modality Alignment in Vision-Language Foundation ModelsComputer Vision and Pattern Recognition (CVPR), 2025
Shinýa Yamaguchi
Dewei Feng
Sekitoshi Kanai
Kazuki Adachi
Daiki Chijiwa
VLM
286
8
0
17 Apr 2025
Perception Encoder: The best visual embeddings are not at the output of the network
Perception Encoder: The best visual embeddings are not at the output of the network
Daniel Bolya
Po-Yao (Bernie) Huang
Peize Sun
Jang Hyun Cho
Andrea Madotto
...
Shiyu Dong
Nikhila Ravi
Daniel Li
Piotr Dollár
Christoph Feichtenhofer
ObjDVOS
664
102
0
17 Apr 2025
R-TPT: Improving Adversarial Robustness of Vision-Language Models through Test-Time Prompt Tuning
R-TPT: Improving Adversarial Robustness of Vision-Language Models through Test-Time Prompt TuningComputer Vision and Pattern Recognition (CVPR), 2025
Lijun Sheng
Jian Liang
Liang Luo
Ran He
AAMLVLM
389
12
0
15 Apr 2025
COUNTS: Benchmarking Object Detectors and Multimodal Large Language Models under Distribution Shifts
COUNTS: Benchmarking Object Detectors and Multimodal Large Language Models under Distribution ShiftsComputer Vision and Pattern Recognition (CVPR), 2025
Jiansheng Li
Xingxuan Zhang
Hao Zou
Yige Guo
Renzhe Xu
Yilong Liu
Chuzhao Zhu
Yue He
Peng Cui
VLM
293
1
0
14 Apr 2025
Bayesian Cross-Modal Alignment Learning for Few-Shot Out-of-Distribution Generalization
Bayesian Cross-Modal Alignment Learning for Few-Shot Out-of-Distribution GeneralizationAAAI Conference on Artificial Intelligence (AAAI), 2023
Lin Zhu
Yifeng Yang
Zichao Nie
Yuan Gao
VLM
373
0
0
13 Apr 2025
On Background Bias of Post-Hoc Concept Embeddings in Computer Vision DNNs
On Background Bias of Post-Hoc Concept Embeddings in Computer Vision DNNs
Gesina Schwalbe
Georgii Mikriukov
Edgar Heinert
Stavros Gerolymatos
Mert Keser
Alois Knoll
Matthias Rottmann
Annika Mütze
354
0
0
11 Apr 2025
Self-Bootstrapping for Versatile Test-Time Adaptation
Self-Bootstrapping for Versatile Test-Time Adaptation
Shuaicheng Niu
Guohao Chen
P. Zhao
Tianyi Wang
Pengcheng Wu
Zhiqi Shen
ViTTTA
357
2
0
10 Apr 2025
A Meaningful Perturbation Metric for Evaluating Explainability Methods
A Meaningful Perturbation Metric for Evaluating Explainability MethodsScandinavian Conference on Image Analysis (SCIA), 2025
Danielle Cohen
Hila Chefer
Lior Wolf
AAML
197
1
0
09 Apr 2025
ZIP: An Efficient Zeroth-order Prompt Tuning for Black-box Vision-Language Models
ZIP: An Efficient Zeroth-order Prompt Tuning for Black-box Vision-Language ModelsInternational Conference on Learning Representations (ICLR), 2025
Seonghwan Park
Jaehyeon Jeong
Yongjun Kim
Jaeho Lee
Namhoon Lee
VLM
301
5
0
09 Apr 2025
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
Alan F. Smeaton
257
0
0
05 Apr 2025
EOOD: Entropy-based Out-of-distribution Detection
EOOD: Entropy-based Out-of-distribution Detection
Guide Yang
Chao Hou
Weilong Peng
Xiang Fang
Yongwei Nie
Peican Zhu
Keke Tang
OODD
428
0
0
04 Apr 2025
Pyramid-based Mamba Multi-class Unsupervised Anomaly Detection
Pyramid-based Mamba Multi-class Unsupervised Anomaly Detection
Nasar Iqbal
Niki Martinel
Mamba
229
1
0
04 Apr 2025
SPACE: SPike-Aware Consistency Enhancement for Test-Time Adaptation in Spiking Neural Networks
SPACE: SPike-Aware Consistency Enhancement for Test-Time Adaptation in Spiking Neural Networks
Xinyu Luo
Kecheng Chen
P. Sun
Chris Xing Tian
Arindam Basu
Haoliang Li
TTA
415
1
0
03 Apr 2025
ProtoGCD: Unified and Unbiased Prototype Learning for Generalized Category Discovery
ProtoGCD: Unified and Unbiased Prototype Learning for Generalized Category DiscoveryIEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2025
Shijie Ma
Fei Zhu
Xu-Yao Zhang
Cheng-Lin Liu
288
17
0
02 Apr 2025
UniViTAR: Unified Vision Transformer with Native Resolution
UniViTAR: Unified Vision Transformer with Native Resolution
Limeng Qiao
Yiyang Gan
Bairui Wang
Jie Qin
Shuang Xu
Siqi Yang
Lin Ma
475
2
0
02 Apr 2025
COSMIC: Clique-Oriented Semantic Multi-space Integration for Robust CLIP Test-Time Adaptation
COSMIC: Clique-Oriented Semantic Multi-space Integration for Robust CLIP Test-Time AdaptationComputer Vision and Pattern Recognition (CVPR), 2025
Fanding Huang
Jingyan Jiang
Qinting Jiang
Hebei Li
Faisal Nadeem Khan
Zhi Wang
VLM
288
2
0
30 Mar 2025
LSNet: See Large, Focus Small
LSNet: See Large, Focus SmallComputer Vision and Pattern Recognition (CVPR), 2025
Ao Wang
Hui Chen
Zijia Lin
Jiawei Han
Guiguang Ding
295
11
0
29 Mar 2025
FLIP: Towards Comprehensive and Reliable Evaluation of Federated Prompt Learning
FLIP: Towards Comprehensive and Reliable Evaluation of Federated Prompt Learning
Dongping Liao
X. Gao
Yabo Xu
Chengzhong Xu
FedMLVLM
272
0
0
28 Mar 2025
Mitigating Cache Noise in Test-Time Adaptation for Large Vision-Language Models
Mitigating Cache Noise in Test-Time Adaptation for Large Vision-Language Models
Haotian Zhai
Xinyu Chen
Can Zhang
Tianming Sha
Ruirui Li
BDLVLM
467
2
0
24 Mar 2025
GOAL: Global-local Object Alignment Learning
GOAL: Global-local Object Alignment LearningComputer Vision and Pattern Recognition (CVPR), 2025
Hyungyu Choi
Young Kyun Jang
Chanho Eom
VLM
917
6
0
22 Mar 2025
Seeing What Matters: Empowering CLIP with Patch Generation-to-Selection
Seeing What Matters: Empowering CLIP with Patch Generation-to-SelectionComputer Vision and Pattern Recognition (CVPR), 2025
Gensheng Pei
Tao Chen
Yujia Wang
Xinhao Cai
Xiangbo Shu
Tianfei Zhou
Yazhou Yao
VLM
305
5
0
21 Mar 2025
EasyRobust: A Comprehensive and Easy-to-use Toolkit for Robust and Generalized Vision
EasyRobust: A Comprehensive and Easy-to-use Toolkit for Robust and Generalized Vision
Xiaofeng Mao
YueFeng Chen
Rong Zhang
Hui Xue
Zhao Li
Hang Su
AAMLVLM
286
0
0
21 Mar 2025
OSLoPrompt: Bridging Low-Supervision Challenges and Open-Set Domain Generalization in CLIP
OSLoPrompt: Bridging Low-Supervision Challenges and Open-Set Domain Generalization in CLIPComputer Vision and Pattern Recognition (CVPR), 2025
M. Cui
Divyam Gupta
Mainak Singha
Sai Bhargav Rongali
Ankit Jha
Muhammad Haris Khan
Biplab Banerjee
VLM
331
5
0
20 Mar 2025
Enhancing Zero-Shot Image Recognition in Vision-Language Models through Human-like Concept Guidance
Enhancing Zero-Shot Image Recognition in Vision-Language Models through Human-like Concept Guidance
Hui Liu
Wenya Wang
Kecheng Chen
Jie Liu
Yibing Liu
Tiexin Qin
Peisong He
Xinghao Jiang
Haoliang Li
BDLVLM
942
0
0
20 Mar 2025
DPC: Dual-Prompt Collaboration for Tuning Vision-Language Models
DPC: Dual-Prompt Collaboration for Tuning Vision-Language ModelsComputer Vision and Pattern Recognition (CVPR), 2025
Haoyang Li
Liang Wang
Chunbai Zhang
Jing Jiang
Yan Peng
Guodong Long
VLM
354
8
0
17 Mar 2025
SCAP: Transductive Test-Time Adaptation via Supportive Clique-based Attribute Prompting
SCAP: Transductive Test-Time Adaptation via Supportive Clique-based Attribute PromptingComputer Vision and Pattern Recognition (CVPR), 2025
Chenyu Zhang
Kunlun Xu
Zichen Liu
Yuxin Peng
Jiahuan Zhou
VLM
364
7
0
17 Mar 2025
O-TPT: Orthogonality Constraints for Calibrating Test-time Prompt Tuning in Vision-Language Models
O-TPT: Orthogonality Constraints for Calibrating Test-time Prompt Tuning in Vision-Language ModelsComputer Vision and Pattern Recognition (CVPR), 2025
Ashshak Sharifdeen
Muhammad Akhtar Munir
Sanoojan Baliah
Salman Khan
M. H. Khan
VLM
218
9
0
15 Mar 2025
APLA: A Simple Adaptation Method for Vision Transformers
APLA: A Simple Adaptation Method for Vision Transformers
Moein Sorkhei
Emir Konuk
Kevin Smith
Christos Matsoukas
425
1
0
14 Mar 2025
Safe Vision-Language Models via Unsafe Weights Manipulation
Safe Vision-Language Models via Unsafe Weights Manipulation
Moreno DÍncà
E. Peruzzo
Xingqian Xu
Humphrey Shi
Andrii Zadaianchuk
Goran Frehse
MU
414
1
0
14 Mar 2025
Bayesian Test-Time Adaptation for Vision-Language Models
Bayesian Test-Time Adaptation for Vision-Language ModelsComputer Vision and Pattern Recognition (CVPR), 2025
Lihua Zhou
Mao Ye
Shuaifeng Li
Nianxin Li
Xiatian Zhu
Lei Deng
Hongbin Liu
Zhen Lei
BDLVLMTTA
510
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12 Mar 2025
Bidirectional Prototype-Reward co-Evolution for Test-Time Adaptation of Vision-Language Models
Bidirectional Prototype-Reward co-Evolution for Test-Time Adaptation of Vision-Language Models
Xiaozhen Qiao
Peng Huang
Jiakang Yuan
Xianda Guo
Bowen Ye
Chaocan Xue
Xuelong Li
Zhe Sun
X. Li
345
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0
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MMRL: Multi-Modal Representation Learning for Vision-Language Models
MMRL: Multi-Modal Representation Learning for Vision-Language ModelsComputer Vision and Pattern Recognition (CVPR), 2025
Yuncheng Guo
Xiaodong Gu
VLMOffRL
962
20
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LongProLIP: A Probabilistic Vision-Language Model with Long Context Text
Sanghyuk Chun
Sangdoo Yun
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304
2
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DiffCLIP: Differential Attention Meets CLIP
Hasan Hammoud
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205
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Generalizable Prompt Learning of CLIP: A Brief Overview
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Fangming Cui
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Xuan Wang
Xule Wang
Liang Xiao
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1.4K
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Diversity Covariance-Aware Prompt Learning for Vision-Language Models
Songlin Dong
Zhengdong Zhou
Chenhao Ding
Xinyuan Gao
Alex C. Kot
Yihong Gong
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Open-Insect: Benchmarking Open-Set Recognition of Novel Species in Biodiversity Monitoring
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B. Christian Schmidt
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Transformer Meets Twicing: Harnessing Unattended Residual Information
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CADRef: Robust Out-of-Distribution Detection via Class-Aware Decoupled Relative Feature LeveragingComputer Vision and Pattern Recognition (CVPR), 2025
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433
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OverLoCK: An Overview-first-Look-Closely-next ConvNet with Context-Mixing Dynamic Kernels
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Space Rotation with Basis Transformation for Training-free Test-Time Adaptation
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Songlin Dong
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317
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CAMEx: Curvature-aware Merging of Experts
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267
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Neural Antidote: Class-Wise Prompt Tuning for Purifying Backdoors in CLIP
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