Delving into Out-of-Distribution Detection with Vision-Language Representations

24 November 2022

Jiuxiang Gu

Papers citing "Delving into Out-of-Distribution Detection with Vision-Language Representations"

50 / 128 papers shown

Title
Exploiting Diffusion Prior for Out-of-Distribution Detection Armando Zhu Jiabei Liu Keqin Li Shuying Dai Bo Hong Peng Zhao Changsong Wei 46 7 0 16 Jun 2024
How Out-of-Distribution Detection Learning Theory Enhances Transformer: Learnability and Reliability Yijin Zhou Yutang Ge Xiaowen Dong Yuguang Wang 48 0 0 13 Jun 2024
Zero-Shot Out-of-Distribution Detection with Outlier Label Exposure Choubo Ding Guansong Pang OODD VLM 32 3 0 03 Jun 2024
Envisioning Outlier Exposure by Large Language Models for Out-of-Distribution Detection Chentao Cao Zhun Zhong Zhanke Zhou Yang Liu Tongliang Liu Bo Han OODD 32 10 0 02 Jun 2024
When and How Does In-Distribution Label Help Out-of-Distribution Detection? Xuefeng Du Yiyou Sun Yixuan Li 37 7 0 28 May 2024
MultiOOD: Scaling Out-of-Distribution Detection for Multiple Modalities Hao Dong Yue Zhao Eleni Chatzi Olga Fink OODD 43 11 0 27 May 2024
Enhancing Near OOD Detection in Prompt Learning: Maximum Gains, Minimal Costs M. Jung He Zhao Joanna Dipnall Belinda Gabbe Lan Du VLM OODD 34 1 0 25 May 2024
CLIPScope: Enhancing Zero-Shot OOD Detection with Bayesian Scoring Hao Fu Naman Patel Prashanth Krishnamurthy Farshad Khorrami OODD 31 4 0 23 May 2024
Adapting Multi-modal Large Language Model to Concept Drift From Pre-training Onwards Xiaoyu Yang Jie Lu Enshui Yu VLM 48 2 0 22 May 2024
The Over-Certainty Phenomenon in Modern UDA Algorithms Fin Amin Jung-Eun Kim 40 0 0 24 Apr 2024
Gradient-Regularized Out-of-Distribution Detection Sina Sharifi Taha Entesari Bardia Safaei Vishal M. Patel Mahyar Fazlyab OODD 34 5 0 18 Apr 2024
Learning Transferable Negative Prompts for Out-of-Distribution Detection Tianqi Li Guansong Pang Xiaolong Bai Wenjun Miao Jingyi Zheng VLM 60 14 0 04 Apr 2024
Lipsum-FT: Robust Fine-Tuning of Zero-Shot Models Using Random Text Guidance G. Nam Byeongho Heo Juho Lee VLM 42 5 0 01 Apr 2024
Unknown Prompt, the only Lacuna: Unveiling CLIP's Potential for Open Domain Generalization Mainak Singha Ankit Jha Shirsha Bose Ashwin Nair Moloud Abdar Biplab Banerjee VLM 60 10 0 31 Mar 2024
LLM meets Vision-Language Models for Zero-Shot One-Class Classification Yassir Bendou G. Lioi Bastien Pasdeloup Lukas Mauch G. B. Hacene Fabien Cardinaux Vincent Gripon VLM MLLM 54 0 0 31 Mar 2024
CLIP-driven Outliers Synthesis for few-shot OOD detection Hao Sun Rundong He Zhongyi Han Zhicong Lin Yongshun Gong Yilong Yin OODD 44 5 0 30 Mar 2024
Negative Label Guided OOD Detection with Pretrained Vision-Language Models Xue Jiang Feng Liu Zhengfeng Fang Hong Chen Tongliang Liu Feng Zheng Bo Han VLM 58 28 0 29 Mar 2024
ImageNet-D: Benchmarking Neural Network Robustness on Diffusion Synthetic Object Chenshuang Zhang Fei Pan Junmo Kim In So Kweon Chengzhi Mao 57 9 1 27 Mar 2024
Model Reprogramming Outperforms Fine-tuning on Out-of-distribution Data in Text-Image Encoders Andrew Geng Pin-Yu Chen OODD 19 0 0 16 Mar 2024
Improving out-of-distribution generalization in graphs via hierarchical semantic environments Yinhua Piao Sangseon Lee Yijingxiu Lu Sun Kim OOD 39 2 0 04 Mar 2024
Rethinking cluster-conditioned diffusion models Nikolas Adaloglou Tim Kaiser Félix D. P. Michels M. Kollmann VLM 37 3 0 01 Mar 2024
A Closer Look at the Robustness of Contrastive Language-Image Pre-Training (CLIP) Weijie Tu Weijian Deng Tom Gedeon UQCV VLM 20 32 0 12 Feb 2024
DFA-RAG: Conversational Semantic Router for Large Language Model with Definite Finite Automaton Yiyou Sun Junjie Hu Wei Cheng Haifeng Chen RALM AI4CE 34 1 0 06 Feb 2024
How Does Unlabeled Data Provably Help Out-of-Distribution Detection? Xuefeng Du Zhen Fang Ilias Diakonikolas Yixuan Li OODD 43 28 0 05 Feb 2024
Zero-shot Object-Level OOD Detection with Context-Aware Inpainting Quang-Huy Nguyen Jin Peng Zhou Zhenzhen Liu Khanh-Huyen Bui Kilian Q. Weinberger Dung D. Le 23 1 0 05 Feb 2024
Optimal Parameter and Neuron Pruning for Out-of-Distribution Detection Chao Chen Zhihang Fu Kai-Chun Liu Ze Chen Mingyuan Tao Jieping Ye OODD 33 3 0 04 Feb 2024
Overcoming the Pitfalls of Vision-Language Model Finetuning for OOD Generalization Yuhang Zang Hanlin Goh Josh Susskind Chen Huang VLM 39 12 0 29 Jan 2024
ARGS: Alignment as Reward-Guided Search Maxim Khanov Jirayu Burapacheep Yixuan Li 35 46 0 23 Jan 2024
Open World Object Detection in the Era of Foundation Models O. Zohar Alejandro Lozano Shelly Goel Serena Yeung Kuan-Chieh Wang VLM 31 9 0 10 Dec 2023
Likelihood-Aware Semantic Alignment for Full-Spectrum Out-of-Distribution Detection Fan Lu Kai Zhu Kecheng Zheng Wei Zhai Xuemiao Xu OODD 155 4 0 04 Dec 2023
Raising the Bar of AI-generated Image Detection with CLIP D. Cozzolino Giovanni Poggi Riccardo Corvi Matthias Nießner L. Verdoliva VLM 35 74 0 30 Nov 2023
ID-like Prompt Learning for Few-Shot Out-of-Distribution Detection Yichen Bai Zongbo Han Changqing Zhang Bing Cao Xiaoheng Jiang Qinghua Hu OODD 48 18 0 26 Nov 2023
Towards Few-shot Out-of-Distribution Detection Jiuqing Dong Yongbin Gao Heng Zhou Jun Cen Yifan Yao Sook Yoon Park Dong Sun OODD 32 3 0 20 Nov 2023
On the Powerfulness of Textual Outlier Exposure for Visual OoD Detection Sangha Park J. Mok Dahuin Jung Saehyung Lee Sung-Hoon Yoon 24 10 0 25 Oct 2023
Exploring Large Language Models for Multi-Modal Out-of-Distribution Detection Yi Dai Hao Lang Kaisheng Zeng Fei Huang Yongbin Li OODD 26 10 0 12 Oct 2023
Building an Open-Vocabulary Video CLIP Model with Better Architectures, Optimization and Data Zuxuan Wu Zejia Weng Wujian Peng Xitong Yang Ang Li Larry S. Davis Yu-Gang Jiang CLIP VLM 36 21 0 08 Oct 2023
OpenPatch: a 3D patchwork for Out-Of-Distribution detection Paolo Rabino A. Alliegro Francesco Cappio Borlino Tatiana Tommasi 3DPC 27 1 0 05 Oct 2023
Can Pre-trained Networks Detect Familiar Out-of-Distribution Data? Atsuyuki Miyai Qing Yu Go Irie Kiyoharu Aizawa OODD 145 6 0 02 Oct 2023
Unsupervised 3D Perception with 2D Vision-Language Distillation for Autonomous Driving Mahyar Najibi Jingwei Ji Yin Zhou C. Qi Xinchen Yan Scott Ettinger Drago Anguelov 22 27 0 25 Sep 2023
Dream the Impossible: Outlier Imagination with Diffusion Models Xuefeng Du Yiyou Sun Xiaojin Zhu Yixuan Li 25 54 0 23 Sep 2023
Bootstrap Fine-Grained Vision-Language Alignment for Unified Zero-Shot Anomaly Localization Hanqiu Deng Zhaoxiang Zhang Jinan Bao Xingyu Li VLM 30 4 0 30 Aug 2023
Adversarial Attacks on Foundational Vision Models Nathan Inkawhich Gwendolyn McDonald R. Luley VLM 41 12 0 28 Aug 2023
CLIPN for Zero-Shot OOD Detection: Teaching CLIP to Say No Hualiang Wang Yi Li Huifeng Yao Xiaomeng Li VLM OODD 40 96 0 23 Aug 2023
From Global to Local: Multi-scale Out-of-distribution Detection Ji Zhang Lianli Gao Bingguang Hao Hao Huang Jingkuan Song H. Shen OODD 34 16 0 20 Aug 2023
When and How Does Known Class Help Discover Unknown Ones? Provable Understanding Through Spectral Analysis Yiyou Sun Zhenmei Shi Yingyu Liang Yixuan Li 42 19 0 09 Aug 2023
Open-Set Domain Adaptation with Visual-Language Foundation Models Qing Yu Go Irie Kiyoharu Aizawa VLM 32 6 0 30 Jul 2023
General-Purpose Multi-Modal OOD Detection Framework Viet Duong Qiong Wu Zhengyi Zhou Eric Zavesky Jiahe Chen Xiangzhou Liu Wen-Ling Hsu Huajie Shao OODD 49 2 0 24 Jul 2023
Large Class Separation is not what you need for Relational Reasoning-based OOD Detection L. Lu Giulia DÁscenzi Francesco Cappio Borlino Tatiana Tommasi OODD 25 1 0 12 Jul 2023
Image Background Serves as Good Proxy for Out-of-distribution Data Sen Pei 39 1 0 02 Jul 2023
ProbVLM: Probabilistic Adapter for Frozen Vision-Language Models Uddeshya Upadhyay Shyamgopal Karthik Massimiliano Mancini Zeynep Akata MLLM VLM 26 4 0 01 Jul 2023