PromptMoE: Generalizable Zero-Shot Anomaly Detection via Visually-Guided Prompt Mixtures
Fuente:
arXiv
Saved in:
| Main Authors: | Shao, Yuheng, Wang, Lizhang, Li, Changhao, Chen, Peixian, Liu, Qinyuan |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
WMoE-CLIP: Wavelet-Enhanced Mixture-of-Experts Prompt Learning for Zero-Shot Anomaly Detection
by: Chen, Peng, et al.
Published: (2026)
by: Chen, Peng, et al.
Published: (2026)
Bayesian Prompt Flow Learning for Zero-Shot Anomaly Detection
by: Qu, Zhen, et al.
Published: (2025)
by: Qu, Zhen, et al.
Published: (2025)
SSVP: Synergistic Semantic-Visual Prompting for Industrial Zero-Shot Anomaly Detection
by: Fu, Chenhao, et al.
Published: (2026)
by: Fu, Chenhao, et al.
Published: (2026)
EntroAD: Structural Entropy-Guided Prompt Adaptation for Zero-Shot Anomaly Detection
by: Zhao, Xinyu, et al.
Published: (2026)
by: Zhao, Xinyu, et al.
Published: (2026)
Crane: Context-Guided Prompt Learning and Attention Refinement for Zero-Shot Anomaly Detection
by: Salehi, Alireza, et al.
Published: (2025)
by: Salehi, Alireza, et al.
Published: (2025)
Zero-Shot Anomaly Detection with Dual-Branch Prompt Selection
by: Wang, Zihan, et al.
Published: (2025)
by: Wang, Zihan, et al.
Published: (2025)
CoPS: Conditional Prompt Synthesis for Zero-Shot Anomaly Detection
by: Chen, Qiyu, et al.
Published: (2025)
by: Chen, Qiyu, et al.
Published: (2025)
Enhancing Zero-Shot Anomaly Detection: CLIP-SAM Collaboration with Cascaded Prompts
by: Hou, Yanning, et al.
Published: (2025)
by: Hou, Yanning, et al.
Published: (2025)
ViP$^2$-CLIP: Visual-Perception Prompting with Unified Alignment for Zero-Shot Anomaly Detection
by: Yang, Ziteng, et al.
Published: (2025)
by: Yang, Ziteng, et al.
Published: (2025)
StackCLIP: Clustering-Driven Stacked Prompt in Zero-Shot Industrial Anomaly Detection
by: Hou, Yanning, et al.
Published: (2025)
by: Hou, Yanning, et al.
Published: (2025)
PromptAD: Learning Prompts with only Normal Samples for Few-Shot Anomaly Detection
by: Li, Xiaofan, et al.
Published: (2024)
by: Li, Xiaofan, et al.
Published: (2024)
Attend and Enrich: Enhanced Visual Prompt for Zero-Shot Learning
by: Liu, Man, et al.
Published: (2024)
by: Liu, Man, et al.
Published: (2024)
Automatic Prompt Generation and Grounding Object Detection for Zero-Shot Image Anomaly Detection
by: Cheung, Tsun-Hin, et al.
Published: (2024)
by: Cheung, Tsun-Hin, et al.
Published: (2024)
AdaCLIP: Adapting CLIP with Hybrid Learnable Prompts for Zero-Shot Anomaly Detection
by: Cao, Yunkang, et al.
Published: (2024)
by: Cao, Yunkang, et al.
Published: (2024)
EZ-HOI: VLM Adaptation via Guided Prompt Learning for Zero-Shot HOI Detection
by: Lei, Qinqian, et al.
Published: (2024)
by: Lei, Qinqian, et al.
Published: (2024)
Visual and Semantic Prompt Collaboration for Generalized Zero-Shot Learning
by: Jiang, Huajie, et al.
Published: (2025)
by: Jiang, Huajie, et al.
Published: (2025)
AnomalyCLIP: Object-agnostic Prompt Learning for Zero-shot Anomaly Detection
by: Zhou, Qihang, et al.
Published: (2023)
by: Zhou, Qihang, et al.
Published: (2023)
Beyond Heuristic Prompting: A Concept-Guided Bayesian Framework for Zero-Shot Image Recognition
by: Liu, Hui, et al.
Published: (2026)
by: Liu, Hui, et al.
Published: (2026)
Defect-aware Hybrid Prompt Optimization via Progressive Tuning for Zero-Shot Multi-type Anomaly Detection and Segmentation
by: Nazer, Nadeem, et al.
Published: (2025)
by: Nazer, Nadeem, et al.
Published: (2025)
VisualAD: Language-Free Zero-Shot Anomaly Detection via Vision Transformer
by: Hou, Yanning, et al.
Published: (2026)
by: Hou, Yanning, et al.
Published: (2026)
PromptStereo: Zero-Shot Stereo Matching via Structure and Motion Prompts
by: Wang, Xianqi, et al.
Published: (2026)
by: Wang, Xianqi, et al.
Published: (2026)
DevPrompt: Deviation-Based Prompt Learning for One-Normal ShotImage Anomaly Detection
by: Poudineh, Morteza, et al.
Published: (2026)
by: Poudineh, Morteza, et al.
Published: (2026)
Generalizable Face Forgery Detection via Separable Prompt Learning
by: Yang, Enrui, et al.
Published: (2026)
by: Yang, Enrui, et al.
Published: (2026)
KAnoCLIP: Zero-Shot Anomaly Detection through Knowledge-Driven Prompt Learning and Enhanced Cross-Modal Integration
by: Li, Chengyuan, et al.
Published: (2025)
by: Li, Chengyuan, et al.
Published: (2025)
Visual Adaptive Prompting for Compositional Zero-Shot Learning
by: Stein, Kyle, et al.
Published: (2025)
by: Stein, Kyle, et al.
Published: (2025)
PromptMoG: Enhancing Diversity in Long-Prompt Image Generation via Prompt Embedding Mixture-of-Gaussian Sampling
by: Ruan, Bo-Kai, et al.
Published: (2025)
by: Ruan, Bo-Kai, et al.
Published: (2025)
Zero-Shot Industrial Anomaly Segmentation with Image-Aware Prompt Generation
by: Park, SoYoung, et al.
Published: (2025)
by: Park, SoYoung, et al.
Published: (2025)
Kernel-Aware Graph Prompt Learning for Few-Shot Anomaly Detection
by: Tao, Fenfang, et al.
Published: (2024)
by: Tao, Fenfang, et al.
Published: (2024)
Expanding Zero-Shot Object Counting with Rich Prompts
by: Zhu, Huilin, et al.
Published: (2025)
by: Zhu, Huilin, et al.
Published: (2025)
Generalizable Object Re-Identification via Visual In-Context Prompting
by: Huang, Zhizhong, et al.
Published: (2025)
by: Huang, Zhizhong, et al.
Published: (2025)
UPRE: Zero-Shot Domain Adaptation for Object Detection via Unified Prompt and Representation Enhancement
by: Zhang, Xiao, et al.
Published: (2025)
by: Zhang, Xiao, et al.
Published: (2025)
TokenCLIP: Token-wise Prompt Learning for Zero-shot Anomaly Detection
by: Zhou, Qihang, et al.
Published: (2025)
by: Zhou, Qihang, et al.
Published: (2025)
Spatio-Temporal Context Prompting for Zero-Shot Action Detection
by: Huang, Wei-Jhe, et al.
Published: (2024)
by: Huang, Wei-Jhe, et al.
Published: (2024)
Position-Guided Prompt Learning for Anomaly Detection in Chest X-Rays
by: Sun, Zhichao, et al.
Published: (2024)
by: Sun, Zhichao, et al.
Published: (2024)
GenCLIP: Generalizing CLIP Prompts for Zero-shot Anomaly Detection
by: Kim, Donghyeong, et al.
Published: (2025)
by: Kim, Donghyeong, et al.
Published: (2025)
Fine-grained Abnormality Prompt Learning for Zero-shot Anomaly Detection
by: Zhu, Jiawen, et al.
Published: (2024)
by: Zhu, Jiawen, et al.
Published: (2024)
E-InMeMo: Enhanced Prompting for Visual In-Context Learning
by: Zhang, Jiahao, et al.
Published: (2025)
by: Zhang, Jiahao, et al.
Published: (2025)
Fine-Grained Side Information Guided Dual-Prompts for Zero-Shot Skeleton Action Recognition
by: Chen, Yang, et al.
Published: (2024)
by: Chen, Yang, et al.
Published: (2024)
FALIP: Visual Prompt as Foveal Attention Boosts CLIP Zero-Shot Performance
by: Zhuang, Jiedong, et al.
Published: (2024)
by: Zhuang, Jiedong, et al.
Published: (2024)
Exploring Multimodal Prompts For Unsupervised Continuous Anomaly Detection
by: Zhou, Mingle, et al.
Published: (2026)
by: Zhou, Mingle, et al.
Published: (2026)
Similar Items
-
WMoE-CLIP: Wavelet-Enhanced Mixture-of-Experts Prompt Learning for Zero-Shot Anomaly Detection
by: Chen, Peng, et al.
Published: (2026) -
Bayesian Prompt Flow Learning for Zero-Shot Anomaly Detection
by: Qu, Zhen, et al.
Published: (2025) -
SSVP: Synergistic Semantic-Visual Prompting for Industrial Zero-Shot Anomaly Detection
by: Fu, Chenhao, et al.
Published: (2026) -
EntroAD: Structural Entropy-Guided Prompt Adaptation for Zero-Shot Anomaly Detection
by: Zhao, Xinyu, et al.
Published: (2026) -
Crane: Context-Guided Prompt Learning and Attention Refinement for Zero-Shot Anomaly Detection
by: Salehi, Alireza, et al.
Published: (2025)