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LoCoOp: Few-Shot Out-of-Distribution Detection via Prompt Learning
v1v2v3 (latest)

LoCoOp: Few-Shot Out-of-Distribution Detection via Prompt Learning

2 June 2023
Atsuyuki Miyai
Qing Yu
Go Irie
Kiyoharu Aizawa
    OODD
ArXiv (abs)PDFHTMLGithub (96★)

Papers citing "LoCoOp: Few-Shot Out-of-Distribution Detection via Prompt Learning"

50 / 50 papers shown
Title
Reliable Few-shot Learning under Dual Noises
Reliable Few-shot Learning under Dual Noises
Ji Zhang
Jingkuan Song
Lianli Gao
N. Sebe
Heng Tao Shen
NoLa
29
0
0
19 Jun 2025
FOCoOp: Enhancing Out-of-Distribution Robustness in Federated Prompt Learning for Vision-Language Models
FOCoOp: Enhancing Out-of-Distribution Robustness in Federated Prompt Learning for Vision-Language Models
Xinting Liao
Weiming Liu
Jiaming Qian
Pengyang Zhou
Jiahe Xu
Wenjie Wang
Chaochao Chen
Xiaolin Zheng
Tat-Seng Chua
FedMLOODDVLM
47
0
0
19 Jun 2025
FDBPL: Faster Distillation-Based Prompt Learning for Region-Aware Vision-Language Models Adaptation
FDBPL: Faster Distillation-Based Prompt Learning for Region-Aware Vision-Language Models Adaptation
Zherui Zhang
Jiaxin Wu
Changwei Wang
Rongtao Xu
Longzhao Huang
Wenhao Xu
Wenbo Xu
Li Guo
Shibiao Xu
VLMVPVLM
158
0
0
23 May 2025
Informed Mixing -- Improving Open Set Recognition via Attribution-based Augmentation
Informed Mixing -- Improving Open Set Recognition via Attribution-based Augmentation
Jiawen Xu
O. Kao
Margret Keuper
128
0
0
19 May 2025
OpenworldAUC: Towards Unified Evaluation and Optimization for Open-world Prompt Tuning
OpenworldAUC: Towards Unified Evaluation and Optimization for Open-world Prompt Tuning
Cong Hua
Qianqian Xu
Zhiyong Yang
Zitai Wang
Shilong Bao
Qingming Huang
VLM
112
1
0
08 May 2025
ULFine: Unbiased Lightweight Fine-tuning for Foundation-Model-Assisted Long-Tailed Semi-Supervised Learning
ULFine: Unbiased Lightweight Fine-tuning for Foundation-Model-Assisted Long-Tailed Semi-Supervised Learning
Enhao Zhang
Chaohua Li
Chuanxing Geng
Songcan Chen
163
0
0
08 May 2025
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
OODDVLM
97
0
0
05 May 2025
CLIP-Powered Domain Generalization and Domain Adaptation: A Comprehensive Survey
CLIP-Powered Domain Generalization and Domain Adaptation: A Comprehensive Survey
Jindong Li
Yongqian Li
Yali Fu
Jiahong Liu
Yixin Liu
Menglin Yang
Irwin King
VLM
88
0
0
19 Apr 2025
Logits DeConfusion with CLIP for Few-Shot Learning
Logits DeConfusion with CLIP for Few-Shot Learning
Shuo Li
Fan Liu
Zehua Hao
Xingyu Wang
Lingling Li
Xianglong Liu
Puhua Chen
Wenping Ma
VLM
111
0
0
16 Apr 2025
Explaining Low Perception Model Competency with High-Competency Counterfactuals
Explaining Low Perception Model Competency with High-Competency Counterfactuals
Sara Pohland
Claire Tomlin
DiffMAAML
97
0
0
07 Apr 2025
Few-Shot Graph Out-of-Distribution Detection with LLMs
Few-Shot Graph Out-of-Distribution Detection with LLMs
Haoyan Xu
Zhengtao Yao
Yushun Dong
Ziyi Wang
Ryan Rossi
Mengyuan Li
Yue Zhao
OODD
123
3
0
28 Mar 2025
BackMix: Regularizing Open Set Recognition by Removing Underlying Fore-Background Priors
BackMix: Regularizing Open Set Recognition by Removing Underlying Fore-Background Priors
Yu Wang
Junxian Mu
Hongzhi Huang
Qilong Wang
Pengfei Zhu
Q. Hu
243
1
0
22 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
100
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
140
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
125
7
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 Guo
Yi Chang
103
0
0
08 Jan 2025
AFANet: Adaptive Frequency-Aware Network for Weakly-Supervised Few-Shot
  Semantic Segmentation
AFANet: Adaptive Frequency-Aware Network for Weakly-Supervised Few-Shot Semantic Segmentation
Jiaqi Ma
Guo-Sen Xie
Fang Zhao
Zechao Li
102
1
0
23 Dec 2024
Prompt as Free Lunch: Enhancing Diversity in Source-Free Cross-domain
  Few-shot Learning through Semantic-Guided Prompting
Prompt as Free Lunch: Enhancing Diversity in Source-Free Cross-domain Few-shot Learning through Semantic-Guided Prompting
Linhai Zhuo
Zheng Wang
Yuqian Fu
Tianwen Qian
VLM
175
2
0
01 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
ObjDVLM
187
1
0
27 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
78
2
0
05 Nov 2024
Ño' Matters: Out-of-Distribution Detection in Multimodality Long
  Dialogue
Ño' Matters: Out-of-Distribution Detection in Multimodality Long Dialogue
Rena Gao
Xuetong Wu
Siwen Luo
Caren Han
Feng Liu
OODD
119
1
0
31 Oct 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
Lefei Zhang
VLMOODD
84
4
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
AAMLOODD
133
2
0
24 Oct 2024
Few-shot target-driven instance detection based on open-vocabulary
  object detection models
Few-shot target-driven instance detection based on open-vocabulary object detection models
Ben Crulis
Barthélémy Serres
Cyril de Runz
Gilles Venturini
VLMObjD
62
0
0
21 Oct 2024
Boosting Open-Vocabulary Object Detection by Handling Background Samples
Boosting Open-Vocabulary Object Detection by Handling Background Samples
Ruizhe Zeng
Lu Zhang
Xu Yang
Zhiyong Liu
VLMObjD
48
0
0
11 Oct 2024
Out-of-Distribution Detection: A Task-Oriented Survey of Recent Advances
Out-of-Distribution Detection: A Task-Oriented Survey of Recent Advances
Shuo Lu
YingSheng Wang
Lijun Sheng
Lingxiao He
A. Zheng
Jian Liang
OODD
181
7
0
18 Sep 2024
CLIP Adaptation by Intra-modal Overlap Reduction
CLIP Adaptation by Intra-modal Overlap Reduction
A. Kravets
V. Namboodiri
VLM
59
0
0
17 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
VLMVPVLM
89
0
0
29 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
64
4
0
09 Aug 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 "Helen" Li
Ziwei Liu
Toshihiko Yamasaki
Kiyoharu Aizawa
141
13
0
31 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
134
8
0
12 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
113
11
0
01 Jul 2024
Boosting Few-Shot Open-Set Object Detection via Prompt Learning and Robust Decision Boundary
Boosting Few-Shot Open-Set Object Detection via Prompt Learning and Robust Decision Boundary
Zhaowei Wu
Binyi Su
Qichuan Geng
Hua Zhang
Zhong Zhou
EDL
90
0
0
26 Jun 2024
Review of Zero-Shot and Few-Shot AI Algorithms in The Medical Domain
Review of Zero-Shot and Few-Shot AI Algorithms in The Medical Domain
Maged Badawi
Mohammedyahia Abushanab
Sheethal Bhat
Andreas Maier
VLM
97
3
0
23 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
99
4
0
18 Jun 2024
Language-guided Detection and Mitigation of Unknown Dataset Bias
Language-guided Detection and Mitigation of Unknown Dataset Bias
Zaiying Zhao
Soichiro Kumano
Toshihiko Yamasaki
78
2
0
05 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
117
4
0
03 Jun 2024
DeCoOp: Robust Prompt Tuning with Out-of-Distribution Detection
DeCoOp: Robust Prompt Tuning with Out-of-Distribution Detection
Zhi Zhou
Ming Yang
Jiang-Xin Shi
Lan-Zhe Guo
Yu-Feng Li
OODDVLM
74
6
0
01 Jun 2024
Enhancing Near OOD Detection in Prompt Learning: Maximum Gains, Minimal
  Costs
Enhancing Near OOD Detection in Prompt Learning: Maximum Gains, Minimal Costs
M. Jung
He Zhao
Joanna Dipnall
Lan Du
Lan Du
VLMOODD
77
2
0
25 May 2024
The Devil is in the Few Shots: Iterative Visual Knowledge Completion for
  Few-shot Learning
The Devil is in the Few Shots: Iterative Visual Knowledge Completion for Few-shot Learning
Yaohui Li
Qifeng Zhou
Haoxing Chen
Jianbing Zhang
Xinyu Dai
Hao Zhou
VLM
90
0
0
15 Apr 2024
Learning Transferable Negative Prompts for Out-of-Distribution Detection
Learning Transferable Negative Prompts for Out-of-Distribution Detection
Tianqi Li
Guansong Pang
Xiaolong Bai
Wenjun Miao
Jingyi Zheng
VLM
106
18
0
04 Apr 2024
LLM meets Vision-Language Models for Zero-Shot One-Class Classification
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
VLMMLLM
80
1
0
31 Mar 2024
CLIP-driven Outliers Synthesis for few-shot OOD detection
CLIP-driven Outliers Synthesis for few-shot OOD detection
Hao Sun
Rundong He
Zhongyi Han
Zhicong Lin
Yongshun Gong
Yilong Yin
OODD
125
5
0
30 Mar 2024
MMGPL: Multimodal Medical Data Analysis with Graph Prompt Learning
MMGPL: Multimodal Medical Data Analysis with Graph Prompt Learning
Liang Peng
Songyue Cai
Zongqian Wu
Huifang Shang
Xiaofeng Zhu
Xiaoxiao Li
114
15
0
22 Dec 2023
Likelihood-Aware Semantic Alignment for Full-Spectrum
  Out-of-Distribution Detection
Likelihood-Aware Semantic Alignment for Full-Spectrum Out-of-Distribution Detection
Fan Lu
Kai Zhu
Kecheng Zheng
Wei Zhai
Xuemiao Xu
OODD
194
4
0
04 Dec 2023
ID-like Prompt Learning for Few-Shot Out-of-Distribution Detection
ID-like Prompt Learning for Few-Shot Out-of-Distribution Detection
Yichen Bai
Zongbo Han
Changqing Zhang
Bing Cao
Xiaoheng Jiang
Qinghua Hu
OODD
116
21
0
26 Nov 2023
Towards Few-shot Out-of-Distribution Detection
Towards Few-shot Out-of-Distribution Detection
Jiuqing Dong
Yongbin Gao
Heng Zhou
Jun Cen
Yifan Yao
Sook Yoon
Park Dong Sun
OODD
79
2
0
20 Nov 2023
Can Pre-trained Networks Detect Familiar Out-of-Distribution Data?
Can Pre-trained Networks Detect Familiar Out-of-Distribution Data?
Atsuyuki Miyai
Qing Yu
Go Irie
Kiyoharu Aizawa
OODD
208
6
0
02 Oct 2023
DualCoOp++: Fast and Effective Adaptation to Multi-Label Recognition
  with Limited Annotations
DualCoOp++: Fast and Effective Adaptation to Multi-Label Recognition with Limited Annotations
Ping Hu
Ximeng Sun
Stan Sclaroff
Kate Saenko
VLM
110
24
0
03 Aug 2023
Generalized Out-of-Distribution Detection: A Survey
Generalized Out-of-Distribution Detection: A Survey
Jingkang Yang
Kaiyang Zhou
Yixuan Li
Ziwei Liu
309
955
0
21 Oct 2021
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