Natural Adversarial Examples

16 July 2019

Papers citing "Natural Adversarial Examples"

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Title
$Simple Semi-supervised Knowledge Distillation from Vision-Language Models via $\mathbf{\texttt{D}}$ual-$\mathbf{\texttt{H}}$ead $\mathbf{\texttt{O}}$ptimization$ Simple Semi-supervised Knowledge Distillation from Vision-Language Models via $\mathbf{\texttt{D}}$ ual- $\mathbf{\texttt{H}}$ ead $\mathbf{\texttt{O}}$ ptimization Seongjae Kang Dong Bok Lee Hyungjoon Jang Sung Ju Hwang VLM 43 0 0 12 May 2025
Whitened CLIP as a Likelihood Surrogate of Images and Captions Roy Betser Meir Yossef Levi Guy Gilboa 26 0 0 11 May 2025
Position: Epistemic Artificial Intelligence is Essential for Machine Learning Models to Know When They Do Not Know Shireen Kudukkil Manchingal Fabio Cuzzolin 46 0 0 08 May 2025
OpenworldAUC: Towards Unified Evaluation and Optimization for Open-world Prompt Tuning Cong Hua Qianqian Xu Zhiyong Yang Zitai Wang Shilong Bao Qingming Huang VLM 55 1 0 08 May 2025
Enhancing Target-unspecific Tasks through a Features Matrix Fangming Cui Yonggang Zhang Xuan Wang Xinmei Tian Jun Yu AAML 38 0 0 06 May 2025
Using Knowledge Graphs to harvest datasets for efficient CLIP model training Simon Ging Sebastian Walter Jelena Bratulić Johannes Dienert Hannah Bast Thomas Brox CLIP 22 0 0 05 May 2025
When Dynamic Data Selection Meets Data Augmentation S. M. I. Simon X. Yang Peng Ye F. Shen Dongzhan Zhou 24 0 0 02 May 2025
Improving Routing in Sparse Mixture of Experts with Graph of Tokens Tam Minh Nguyen Ngoc N. Tran Khai Nguyen Richard G. Baraniuk MoE 59 0 0 01 May 2025
Diff-Prompt: Diffusion-Driven Prompt Generator with Mask Supervision Weicai Yan Wang Lin Zirun Guo Ye Wang Fangming Feng Xiaoda Yang Z. Wang Tao Jin DiffM 118 2 0 30 Apr 2025
FedMVP: Federated Multi-modal Visual Prompt Tuning for Vision-Language Models Mainak Singha Subhankar Roy Sarthak Mehrotra Ankit Jha Moloud Abdar Biplab Banerjee Elisa Ricci VLM VPVLM 108 0 0 29 Apr 2025
Explaining Vision GNNs: A Semantic and Visual Analysis of Graph-based Image Classification Nikolaos Chaidos Angeliki Dimitriou Nikolaos Spanos Athanasios Voulodimos Giorgos Stamou 35 1 0 28 Apr 2025
Semi-parametric Memory Consolidation: Towards Brain-like Deep Continual Learning Geng Liu Fei Zhu Rong Feng Zhiqiang Yi Shiqi Wang Gaofeng Meng Zhaoxiang Zhang CLL 30 0 0 20 Apr 2025
CLIP-Powered Domain Generalization and Domain Adaptation: A Comprehensive Survey Jindong Li Y. Li Yali Fu Jiahong Liu Yixin Liu Menglin Yang Irwin King VLM 36 0 0 19 Apr 2025
Post-pre-training for Modality Alignment in Vision-Language Foundation Models Shinýa Yamaguchi Dewei Feng Sekitoshi Kanai Kazuki Adachi Daiki Chijiwa VLM 34 0 0 17 Apr 2025
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 ObjD VOS 103 0 0 17 Apr 2025
R-TPT: Improving Adversarial Robustness of Vision-Language Models through Test-Time Prompt Tuning Lijun Sheng Jian Liang Z. Wang Ran He AAML VLM 36 0 0 15 Apr 2025
COUNTS: Benchmarking Object Detectors and Multimodal Large Language Models under Distribution Shifts Jiansheng Li Xingxuan Zhang Hao Zou Yige Guo Renzhe Xu Yilong Liu Chuzhao Zhu Yue He Peng Cui VLM 37 0 0 14 Apr 2025
Bayesian Cross-Modal Alignment Learning for Few-Shot Out-of-Distribution Generalization Lin Zhu Yifeng Yang Zichao Nie Yuan Gao VLM 28 0 0 13 Apr 2025
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 31 0 0 11 Apr 2025
Self-Bootstrapping for Versatile Test-Time Adaptation Shuaicheng Niu Guohao Chen P. Zhao Tianyi Wang Pengcheng Wu Zhiqi Shen ViT TTA 55 0 0 10 Apr 2025
ZIP: An Efficient Zeroth-order Prompt Tuning for Black-box Vision-Language Models Seonghwan Park Jaehyeon Jeong Yongjun Kim Jaeho Lee Namhoon Lee VLM 44 0 0 09 Apr 2025
A Meaningful Perturbation Metric for Evaluating Explainability Methods Danielle Cohen Hila Chefer Lior Wolf AAML 25 0 0 09 Apr 2025
Resilience of Vision Transformers for Domain Generalisation in the Presence of Out-of-Distribution Noisy Images Hamza Riaz A. Smeaton 39 0 0 05 Apr 2025
EOOD: Entropy-based Out-of-distribution Detection Guide Yang Chao Hou Weilong Peng Xiang Fang Yongwei Nie Peican Zhu Keke Tang OODD 49 0 0 04 Apr 2025
Pyramid-based Mamba Multi-class Unsupervised Anomaly Detection Nasar Iqbal Niki Martinel Mamba 48 0 0 04 Apr 2025
UniViTAR: Unified Vision Transformer with Native Resolution Limeng Qiao Yiyang Gan Bairui Wang Jie Qin Shuang Xu Siqi Yang Lin Ma 50 0 0 02 Apr 2025
ProtoGCD: Unified and Unbiased Prototype Learning for Generalized Category Discovery Shijie Ma Fei Zhu Xu-Yao Zhang Cheng-Lin Liu 27 1 0 02 Apr 2025
COSMIC: Clique-Oriented Semantic Multi-space Integration for Robust CLIP Test-Time Adaptation Fanding Huang Jingyan Jiang Qinting Jiang Hebei Li Faisal Nadeem Khan Zhi Wang VLM 52 0 0 30 Mar 2025
LSNet: See Large, Focus Small Ao Wang Hui Chen Zijia Lin J. Han Guiguang Ding 37 0 0 29 Mar 2025
FLIP: Towards Comprehensive and Reliable Evaluation of Federated Prompt Learning Dongping Liao X. Gao Yabo Xu Chengzhong Xu FedML VLM 42 0 0 28 Mar 2025
Mitigating Cache Noise in Test-Time Adaptation for Large Vision-Language Models Haotian Zhai Xinyu Chen Can Zhang Tianming Sha Ruirui Li BDL VLM 65 0 0 24 Mar 2025
GOAL: Global-local Object Alignment Learning Hyungyu Choi Young Kyun Jang Chanho Eom VLM 106 0 0 22 Mar 2025
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 AAML VLM 41 0 0 21 Mar 2025
Seeing What Matters: Empowering CLIP with Patch Generation-to-Selection Gensheng Pei Tao Chen Yujia Wang Xinhao Cai Xiangbo Shu Tianfei Zhou Yazhou Yao VLM 51 1 0 21 Mar 2025
OSLoPrompt: Bridging Low-Supervision Challenges and Open-Set Domain Generalization in CLIP M. Cui Divyam Gupta Mainak Singha Sai Bhargav Rongali Ankit Jha Muhammad Haris Khan Biplab Banerjee VLM 53 1 0 20 Mar 2025
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 BDL VLM 132 0 0 20 Mar 2025
SCAP: Transductive Test-Time Adaptation via Supportive Clique-based Attribute Prompting Chenyu Zhang Kunlun Xu Zichen Liu Yuxin Peng Jiahuan Zhou VLM 55 1 0 17 Mar 2025
DPC: Dual-Prompt Collaboration for Tuning Vision-Language Models Haoyang Li Liang Wang Chao Wang Jing Jiang Yan Peng Guodong Long VLM 64 1 0 17 Mar 2025
O-TPT: Orthogonality Constraints for Calibrating Test-time Prompt Tuning in Vision-Language Models Ashshak Sharifdeen Muhammad Akhtar Munir Sanoojan Baliah Salman Khan M. H. Khan VLM 49 0 0 15 Mar 2025
APLA: A Simple Adaptation Method for Vision Transformers Moein Sorkhei Emir Konuk Kevin Smith Christos Matsoukas 53 0 0 14 Mar 2025
Safe Vision-Language Models via Unsafe Weights Manipulation Moreno DÍncà E. Peruzzo Xingqian Xu Humphrey Shi N. Sebe Massimiliano Mancini MU 55 0 0 14 Mar 2025
Quantifying Interpretability in CLIP Models with Concept Consistency Avinash Madasu Vasudev Lal Phillip Howard VLM 67 0 0 14 Mar 2025
Bayesian Test-Time Adaptation for Vision-Language Models Lihua Zhou Mao Ye Shuaifeng Li Nianxin Li Xiatian Zhu Lei Deng Hongbin Liu Zhen Lei BDL VLM TTA 96 0 0 12 Mar 2025
Bidirectional Prototype-Reward co-Evolution for Test-Time Adaptation of Vision-Language Models Xiaozhen Qiao Peng Huang Jiakang Yuan Xianda Guo Bowen Ye Zhe Sun Xuelong Li 60 0 0 12 Mar 2025
LongProLIP: A Probabilistic Vision-Language Model with Long Context Text Sanghyuk Chun Sangdoo Yun VLM 37 1 0 11 Mar 2025
MMRL: Multi-Modal Representation Learning for Vision-Language Models Yuncheng Guo Xiaodong Gu VLM OffRL 111 1 0 11 Mar 2025
DiffCLIP: Differential Attention Meets CLIP Hasan Hammoud Bernard Ghanem VLM 42 0 0 09 Mar 2025
Open-Set Recognition of Novel Species in Biodiversity Monitoring Yuyan Chen Nico Lang B. Christian Schmidt Aditya Jain Yves Basset Sara Beery Maxim Larrivée David Rolnick 42 0 0 03 Mar 2025
Diversity Covariance-Aware Prompt Learning for Vision-Language Models Songlin Dong Zhengdong Zhou Chenhao Ding Xinyuan Gao Alex C. Kot Yihong Gong VPVLM VLM 49 0 0 03 Mar 2025
Generalizable Prompt Learning of CLIP: A Brief Overview Fangming Cui Yonggang Zhang Xuan Wang Xule Wang Liang Xiao VPVLM VLM 132 0 0 03 Mar 2025