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

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

24 November 2022
Yifei Ming
Ziyan Cai
Jiuxiang Gu
Yiyou Sun
W. Li
Yixuan Li
    VLM
    OODD
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Papers citing "Delving into Out-of-Distribution Detection with Vision-Language Representations"

50 / 127 papers shown
Title
Recent Advances in Out-of-Distribution Detection with CLIP-Like Models: A Survey
Recent Advances in Out-of-Distribution Detection with CLIP-Like Models: A Survey
Chaohua Li
Enhao Zhang
Chuanxing Geng
Songcan Chen
OODD
VLM
30
0
0
05 May 2025
GLIP-OOD: Zero-Shot Graph OOD Detection with Foundation Model
GLIP-OOD: Zero-Shot Graph OOD Detection with Foundation Model
Haoyan Xu
Zhengtao Yao
X. Zhang
Z. Wang
Langzhou He
Yushun Dong
Philip S. Yu
Mengyuan Li
Y. Zhao
OODD
VLM
65
0
0
29 Apr 2025
Revisiting CLIP for SF-OSDA: Unleashing Zero-Shot Potential with Adaptive Threshold and Training-Free Feature Filtering
Revisiting CLIP for SF-OSDA: Unleashing Zero-Shot Potential with Adaptive Threshold and Training-Free Feature Filtering
Y. Li
Jindong Li
Qi Wang
Qianli Xing
Runliang Niu
Shengsheng Wang
Menglin Yang
VLM
40
0
0
19 Apr 2025
Explaining Low Perception Model Competency with High-Competency Counterfactuals
Explaining Low Perception Model Competency with High-Competency Counterfactuals
Sara Pohland
Claire Tomlin
DiffM
AAML
41
0
0
07 Apr 2025
RUNA: Object-level Out-of-Distribution Detection via Regional Uncertainty Alignment of Multimodal Representations
RUNA: Object-level Out-of-Distribution Detection via Regional Uncertainty Alignment of Multimodal Representations
Bin Zhang
Jinggang Chen
Xiaoyang Qu
Guokuan Li
Kai Lu
Jiguang Wan
Jing Xiao
Jianzong Wang
ObjD
41
0
0
28 Mar 2025
VisTa: Visual-contextual and Text-augmented Zero-shot Object-level OOD Detection
VisTa: Visual-contextual and Text-augmented Zero-shot Object-level OOD Detection
Bin Zhang
Xiaoyang Qu
Guokuan Li
Jiguang Wan
Jianzong Wang
VLM
51
0
0
28 Mar 2025
OODD: Test-time Out-of-Distribution Detection with Dynamic Dictionary
Yifeng Yang
Lin Zhu
Zewen Sun
Hengyu Liu
Qinying Gu
Nanyang Ye
OODD
50
0
0
13 Mar 2025
OT-DETECTOR: Delving into Optimal Transport for Zero-shot Out-of-Distribution Detection
Yu Liu
Hao Tang
H. Zhang
Jing Qin
Z. Li
OODD
51
0
0
09 Mar 2025
Language-Assisted Feature Transformation for Anomaly Detection
EungGu Yun
Heonjin Ha
Yeongwoo Nam
Bryan Dongik Lee
61
0
0
03 Mar 2025
Delving into Out-of-Distribution Detection with Medical Vision-Language Models
Lie Ju
Sijin Zhou
Yukun Zhou
Huimin Lu
Zhuoting Zhu
P. Keane
Zongyuan Ge
VLM
40
0
0
02 Mar 2025
OpenEarthSensing: Large-Scale Fine-Grained Benchmark for Open-World Remote Sensing
OpenEarthSensing: Large-Scale Fine-Grained Benchmark for Open-World Remote Sensing
Xiang Xiang
Zhuo Xu
Yao Deng
Qinhao Zhou
Yifan Liang
Ke Chen
Qingfang Zheng
Yaowei Wang
Xilin Chen
Wen Gao
VLM
43
0
0
28 Feb 2025
Large Language Models for Anomaly and Out-of-Distribution Detection: A Survey
Large Language Models for Anomaly and Out-of-Distribution Detection: A Survey
Ruiyao Xu
Kaize Ding
53
5
0
17 Feb 2025
Concept Matching with Agent for Out-of-Distribution Detection
Concept Matching with Agent for Out-of-Distribution Detection
YuXiao Lee
Xiaofeng Cao
Jingcai Guo
Wei Ye
Qing-Wu Guo
Yi Chang
54
0
0
08 Jan 2025
Exploring Semantic Consistency and Style Diversity for Domain
  Generalized Semantic Segmentation
Exploring Semantic Consistency and Style Diversity for Domain Generalized Semantic Segmentation
Hongwei Niu
Linhuang Xie
Jianghang Lin
Shengchuan Zhang
67
1
0
16 Dec 2024
CONCLAD: COntinuous Novel CLAss Detector
CONCLAD: COntinuous Novel CLAss Detector
Amanda Rios
I. Ndiour
Parual Datta
Omesh Tickoo
Nilesh A. Ahuja
72
0
0
13 Dec 2024
Learning Structured Representations with Hyperbolic Embeddings
Learning Structured Representations with Hyperbolic Embeddings
Aditya Sinha
Siqi Zeng
M. Yamada
Han Zhao
65
0
0
02 Dec 2024
From Open Vocabulary to Open World: Teaching Vision Language Models to Detect Novel Objects
From Open Vocabulary to Open World: Teaching Vision Language Models to Detect Novel Objects
Zizhao Li
Zhengkang Xiang
Joseph West
Kourosh Khoshelham
ObjD
VLM
94
1
0
27 Nov 2024
Test-time Alignment-Enhanced Adapter for Vision-Language Models
Test-time Alignment-Enhanced Adapter for Vision-Language Models
Baoshun Tong
Kaiyu Song
Hanjiang Lai
VLM
70
0
0
24 Nov 2024
FodFoM: Fake Outlier Data by Foundation Models Creates Stronger Visual
  Out-of-Distribution Detector
FodFoM: Fake Outlier Data by Foundation Models Creates Stronger Visual Out-of-Distribution Detector
Jiankang Chen
Ling Deng
Zhiyong Gan
Wei-Shi Zheng
Ruixuan Wang
OODD
82
0
0
22 Nov 2024
TagFog: Textual Anchor Guidance and Fake Outlier Generation for Visual
  Out-of-Distribution Detection
TagFog: Textual Anchor Guidance and Fake Outlier Generation for Visual Out-of-Distribution Detection
Jiankang Chen
Tong Zhang
Wei-Shi Zheng
Ruixuan Wang
OODD
101
2
0
22 Nov 2024
Self-Calibrated Tuning of Vision-Language Models for Out-of-Distribution
  Detection
Self-Calibrated Tuning of Vision-Language Models for Out-of-Distribution Detection
Geng Yu
Jianing Zhu
Jiangchao Yao
Bo Han
OODD
36
0
0
05 Nov 2024
AdaNeg: Adaptive Negative Proxy Guided OOD Detection with
  Vision-Language Models
AdaNeg: Adaptive Negative Proxy Guided OOD Detection with Vision-Language Models
Yabin Zhang
L. Zhang
VLM
OODD
23
2
0
26 Oct 2024
What If the Input is Expanded in OOD Detection?
What If the Input is Expanded in OOD Detection?
Boxuan Zhang
Jianing Zhu
Zengmao Wang
Tongliang Liu
Bo Du
Bo Han
AAML
OODD
24
0
0
24 Oct 2024
Reflexive Guidance: Improving OoDD in Vision-Language Models via Self-Guided Image-Adaptive Concept Generation
Reflexive Guidance: Improving OoDD in Vision-Language Models via Self-Guided Image-Adaptive Concept Generation
Seulbi Lee
J. Kim
Sangheum Hwang
LRM
69
0
0
19 Oct 2024
Process Reward Model with Q-Value Rankings
Process Reward Model with Q-Value Rankings
W. Li
Yixuan Li
LRM
45
14
0
15 Oct 2024
Conjugated Semantic Pool Improves OOD Detection with Pre-trained
  Vision-Language Models
Conjugated Semantic Pool Improves OOD Detection with Pre-trained Vision-Language Models
Mengyuan Chen
Junyu Gao
Changsheng Xu
VLM
OODD
23
0
0
11 Oct 2024
Toward a Holistic Evaluation of Robustness in CLIP Models
Toward a Holistic Evaluation of Robustness in CLIP Models
Weijie Tu
Weijian Deng
Tom Gedeon
VLM
34
5
0
02 Oct 2024
PointAD: Comprehending 3D Anomalies from Points and Pixels for Zero-shot
  3D Anomaly Detection
PointAD: Comprehending 3D Anomalies from Points and Pixels for Zero-shot 3D Anomaly Detection
Qihang Zhou
Jiangtao Yan
Shibo He
Wenchao Meng
Jiming Chen
3DPC
24
6
0
01 Oct 2024
Textual Training for the Hassle-Free Removal of Unwanted Visual Data:
  Case Studies on OOD and Hateful Image Detection
Textual Training for the Hassle-Free Removal of Unwanted Visual Data: Case Studies on OOD and Hateful Image Detection
Saehyung Lee
J. Mok
Sangha Park
Yongho Shin
Dahuin Jung
Sungroh Yoon
15
0
0
30 Sep 2024
Bridging OOD Detection and Generalization: A Graph-Theoretic View
Bridging OOD Detection and Generalization: A Graph-Theoretic View
Han Wang
Yixuan Li
CML
27
0
0
26 Sep 2024
VL4AD: Vision-Language Models Improve Pixel-wise Anomaly Detection
VL4AD: Vision-Language Models Improve Pixel-wise Anomaly Detection
Liangyu Zhong
Joachim Sicking
Fabian Hüger
Hanno Gottschalk
VLM
28
0
0
25 Sep 2024
Recent Advances in OOD Detection: Problems and Approaches
Recent Advances in OOD Detection: Problems and Approaches
Shuo Lu
YingSheng Wang
Lijun Sheng
Aihua Zheng
Lingxiao He
Jian Liang
OODD
55
2
0
18 Sep 2024
Adapting Vision-Language Models to Open Classes via Test-Time Prompt
  Tuning
Adapting Vision-Language Models to Open Classes via Test-Time Prompt Tuning
Zhengqing Gao
Xiang Ao
Xu-Yao Zhang
Cheng-Lin Liu
VLM
VPVLM
32
0
0
29 Aug 2024
FIDAVL: Fake Image Detection and Attribution using Vision-Language Model
FIDAVL: Fake Image Detection and Attribution using Vision-Language Model
Mamadou Keita
W. Hamidouche
Hessen Bougueffa Eutamene
Abdelmalik Taleb-Ahmed
Abdenour Hadid
VLM
80
0
0
22 Aug 2024
Your Classifier Can Be Secretly a Likelihood-Based OOD Detector
Your Classifier Can Be Secretly a Likelihood-Based OOD Detector
Jirayu Burapacheep
Yixuan Li
OODD
30
3
0
09 Aug 2024
Avoid Wasted Annotation Costs in Open-set Active Learning with Pre-trained Vision-Language Model
Avoid Wasted Annotation Costs in Open-set Active Learning with Pre-trained Vision-Language Model
Jaehyuk Heo
Pilsung Kang
VLM
19
1
0
09 Aug 2024
DECIDER: Leveraging Foundation Model Priors for Improved Model Failure
  Detection and Explanation
DECIDER: Leveraging Foundation Model Priors for Improved Model Failure Detection and Explanation
Rakshith Subramanyam
Kowshik Thopalli
V. Narayanaswamy
Jayaraman J.Thiagarajan
18
2
0
01 Aug 2024
Resilience and Security of Deep Neural Networks Against Intentional and
  Unintentional Perturbations: Survey and Research Challenges
Resilience and Security of Deep Neural Networks Against Intentional and Unintentional Perturbations: Survey and Research Challenges
Sazzad Sayyed
Milin Zhang
Shahriar Rifat
A. Swami
Michael De Lucia
Francesco Restuccia
21
1
0
31 Jul 2024
Generalized Out-of-Distribution Detection and Beyond in Vision Language
  Model Era: A Survey
Generalized Out-of-Distribution Detection and Beyond in Vision Language Model Era: A Survey
Atsuyuki Miyai
Jingkang Yang
Jingyang Zhang
Yifei Ming
Sisir Dhakal
...
Yixuan Li
Hai Li
Ziwei Liu
Toshihiko Yamasaki
Kiyoharu Aizawa
36
9
0
31 Jul 2024
Leveraging Foundation Models for Zero-Shot IoT Sensing
Leveraging Foundation Models for Zero-Shot IoT Sensing
Dinghao Xue
Xiaoran Fan
Tao Chen
Guohao Lan
Qun Song
AI4CE
33
0
0
29 Jul 2024
When Text and Images Don't Mix: Bias-Correcting Language-Image
  Similarity Scores for Anomaly Detection
When Text and Images Don't Mix: Bias-Correcting Language-Image Similarity Scores for Anomaly Detection
Adam Goodge
Bryan Hooi
Wee Siong Ng
21
0
0
24 Jul 2024
Category-Extensible Out-of-Distribution Detection via Hierarchical
  Context Descriptions
Category-Extensible Out-of-Distribution Detection via Hierarchical Context Descriptions
Kai-Chun Liu
Zhihang Fu
Chao Chen
Sheng Jin
Ze Chen
Mingyuan Tao
Rongxin Jiang
Jieping Ye
VLM
OODD
54
4
0
23 Jul 2024
Rethinking Out-of-Distribution Detection on Imbalanced Data Distribution
Rethinking Out-of-Distribution Detection on Imbalanced Data Distribution
Kai-Chun Liu
Zhihang Fu
Sheng Jin
Chao Chen
Ze Chen
Rongxin Jiang
Fan Zhou
Yao-Shen Chen
Jieping Ye
OODD
40
0
0
23 Jul 2024
LAPT: Label-driven Automated Prompt Tuning for OOD Detection with
  Vision-Language Models
LAPT: Label-driven Automated Prompt Tuning for OOD Detection with Vision-Language Models
Yabin Zhang
Wenjie Zhu
Chenhang He
Lei Zhang
VLM
38
7
0
12 Jul 2024
Zero-shot Object Counting with Good Exemplars
Zero-shot Object Counting with Good Exemplars
Huilin Zhu
Jingling Yuan
Zhengwei Yang
Yu Guo
Zheng Wang
Xian Zhong
Shengfeng He
VLM
29
6
0
06 Jul 2024
GalLoP: Learning Global and Local Prompts for Vision-Language Models
GalLoP: Learning Global and Local Prompts for Vision-Language Models
Marc Lafon
Elias Ramzi
Clément Rambour
Nicolas Audebert
Nicolas Thome
VLM
29
8
0
01 Jul 2024
Unveiling the Unknown: Conditional Evidence Decoupling for Unknown
  Rejection
Unveiling the Unknown: Conditional Evidence Decoupling for Unknown Rejection
Zhaowei Wu
Binyi Su
Hua Zhang
Zhong Zhou
EDL
42
0
0
26 Jun 2024
Probabilistic Conceptual Explainers: Trustworthy Conceptual Explanations
  for Vision Foundation Models
Probabilistic Conceptual Explainers: Trustworthy Conceptual Explanations for Vision Foundation Models
Hengyi Wang
Shiwei Tan
Hao Wang
BDL
27
6
0
18 Jun 2024
SeTAR: Out-of-Distribution Detection with Selective Low-Rank
  Approximation
SeTAR: Out-of-Distribution Detection with Selective Low-Rank Approximation
Yixia Li
Boya Xiong
Guanhua Chen
Yun Chen
OODD
33
2
0
18 Jun 2024
Exploiting Diffusion Prior for Out-of-Distribution Detection
Exploiting Diffusion Prior for Out-of-Distribution Detection
Armando Zhu
Jiabei Liu
Keqin Li
Shuying Dai
Bo Hong
Peng Zhao
Changsong Wei
38
7
0
16 Jun 2024
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