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

2 June 2023

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

50 / 53 papers shown

Title
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 0 0 08 May 2025
ULFine: Unbiased Lightweight Fine-tuning for Foundation-Model-Assisted Long-Tailed Semi-Supervised Learning Enhao Zhang Chaohua Li Chuanxing Geng Songcan Chen 52 0 0 08 May 2025
Recent Advances in Out-of-Distribution Detection with CLIP-Like Models: A Survey Chaohua Li Enhao Zhang Chuanxing Geng Songcan Chen OODD VLM 32 0 0 05 May 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
Logits DeConfusion with CLIP for Few-Shot Learning Shuo Li F. Liu Zehua Hao X. Wang Lingling Li X. Liu Puhua Chen Wenping Ma VLM 47 0 0 16 Apr 2025
Explaining Low Perception Model Competency with High-Competency Counterfactuals Sara Pohland Claire Tomlin DiffM AAML 41 0 0 07 Apr 2025
Few-Shot Graph Out-of-Distribution Detection with LLMs Haoyan Xu Zhengtao Yao Yushun Dong Z. Wang Ryan Rossi Mengyuan Li Y. Zhao OODD 61 2 0 28 Mar 2025
BackMix: Regularizing Open Set Recognition by Removing Underlying Fore-Background Priors Yu Wang Junxian Mu Hongzhi Huang Qilong Wang Pengfei Zhu Q. Hu 55 0 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 40 0 0 02 Mar 2025
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 Ruiyao Xu Kaize Ding 53 5 0 17 Feb 2025
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
AFANet: Adaptive Frequency-Aware Network for Weakly-Supervised Few-Shot Semantic Segmentation Jiaqi Ma Guo-Sen Xie Fang Zhao Zechao Li 32 0 0 23 Dec 2024
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 74 1 0 01 Dec 2024
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
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
Ño' Matters: Out-of-Distribution Detection in Multimodality Long Dialogue Rena Gao Xuetong Wu Siwen Luo Caren Han Feng Liu OODD 42 0 0 31 Oct 2024
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? Boxuan Zhang Jianing Zhu Zengmao Wang Tongliang Liu Bo Du Bo Han AAML OODD 24 0 0 24 Oct 2024
Few-shot target-driven instance detection based on open-vocabulary object detection models Ben Crulis Barthélémy Serres Cyril de Runz Gilles Venturini VLM ObjD 24 0 0 21 Oct 2024
Boosting Open-Vocabulary Object Detection by Handling Background Samples Ruizhe Zeng Lu Zhang Xu Yang Zhiyong Liu VLM ObjD 23 0 0 11 Oct 2024
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
CLIP Adaptation by Intra-modal Overlap Reduction A. Kravets V. Namboodiri VLM 32 0 0 17 Sep 2024
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
Your Classifier Can Be Secretly a Likelihood-Based OOD Detector Jirayu Burapacheep Yixuan Li OODD 30 3 0 09 Aug 2024
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
LAPT: Label-driven Automated Prompt Tuning for OOD Detection with Vision-Language Models Yabin Zhang Wenjie Zhu Chenhang He Lei Zhang VLM 43 7 0 12 Jul 2024
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 Zhaowei Wu Binyi Su Hua Zhang Zhong Zhou EDL 42 0 0 26 Jun 2024
Review of Zero-Shot and Few-Shot AI Algorithms in The Medical Domain Maged Badawi Mohammedyahia Abushanab Sheethal Bhat Andreas K. Maier VLM 37 2 0 23 Jun 2024
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
Language-guided Detection and Mitigation of Unknown Dataset Bias Zaiying Zhao Soichiro Kumano Toshihiko Yamasaki 34 2 0 05 Jun 2024
Zero-Shot Out-of-Distribution Detection with Outlier Label Exposure Choubo Ding Guansong Pang OODD VLM 23 3 0 03 Jun 2024
DeCoOp: Robust Prompt Tuning with Out-of-Distribution Detection Zhi-Hua Zhou Ming Yang Jiang-Xin Shi Lan-Zhe Guo Yu-Feng Li OODD VLM 28 4 0 01 Jun 2024
Enhancing Near OOD Detection in Prompt Learning: Maximum Gains, Minimal Costs M. Jung He Zhao Joanna Dipnall Belinda Gabbe Lan Du VLM OODD 32 1 0 25 May 2024
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 37 0 0 15 Apr 2024
Learning Transferable Negative Prompts for Out-of-Distribution Detection Tianqi Li Guansong Pang Xiaolong Bai Wenjun Miao Jingyi Zheng VLM 47 12 0 04 Apr 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 41 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 33 5 0 30 Mar 2024
MMGPL: Multimodal Medical Data Analysis with Graph Prompt Learning Liang Peng Songyue Cai Zongqian Wu Huifang Shang Xiaofeng Zhu Xiaoxiao Li 28 9 0 22 Dec 2023
Likelihood-Aware Semantic Alignment for Full-Spectrum Out-of-Distribution Detection Fan Lu Kai Zhu Kecheng Zheng Wei Zhai Xuemiao Xu OODD 150 4 0 04 Dec 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 36 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 19 3 0 20 Nov 2023
Can Pre-trained Networks Detect Familiar Out-of-Distribution Data? Atsuyuki Miyai Qing Yu Go Irie Kiyoharu Aizawa OODD 135 6 0 02 Oct 2023
DualCoOp++: Fast and Effective Adaptation to Multi-Label Recognition with Limited Annotations Ping Hu Ximeng Sun Stan Sclaroff Kate Saenko VLM 32 21 0 03 Aug 2023
VOS: Learning What You Don't Know by Virtual Outlier Synthesis Xuefeng Du Zhaoning Wang Mu Cai Yixuan Li OODD 174 220 0 02 Feb 2022
Tip-Adapter: Training-free CLIP-Adapter for Better Vision-Language Modeling Renrui Zhang Rongyao Fang Wei Zhang Peng Gao Kunchang Li Jifeng Dai Yu Qiao Hongsheng Li VLM 184 384 0 06 Nov 2021
Generalized Out-of-Distribution Detection: A Survey Jingkang Yang Kaiyang Zhou Yixuan Li Ziwei Liu 171 870 0 21 Oct 2021
Open-Set Recognition: a Good Closed-Set Classifier is All You Need? S. Vaze Kai Han Andrea Vedaldi Andrew Zisserman BDL 167 404 0 12 Oct 2021
On the Importance of Gradients for Detecting Distributional Shifts in the Wild Rui Huang Andrew Geng Yixuan Li 173 326 0 01 Oct 2021