Cover Image

Exploring Multimodal Prompts For Unsupervised Continuous Anomaly Detection

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Zhou, Mingle, Liu, Jiahui, Wan, Jin, Li, Gang, Li, Min
Format:	Preprint
Published:	2026
Subjects:	Computer Vision and Pattern Recognition
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Back to Point: Exploring Point-Language Models for Zero-Shot 3D Anomaly Detection
by: Li, Kaiqiang, et al.
Published: (2026)

MCL-AD: Multimodal Collaboration Learning for Zero-Shot 3D Anomaly Detection
by: Li, Gang, et al.
Published: (2025)

Multimodal Industrial Anomaly Detection via Geometric Prior
by: Li, Min, et al.
Published: (2026)

Unsupervised Continual Anomaly Detection with Contrastively-learned Prompt
by: Liu, Jiaqi, et al.
Published: (2024)

PD-4DGS:Progressive Decomposition of 4D Gaussian Splatting for Bandwidth-Adaptive Dynamic Scene Streaming
by: Li, Jiachen, et al.
Published: (2026)

PDT: Uav Target Detection Dataset for Pests and Diseases Tree
by: Zhou, Mingle, et al.
Published: (2024)

Exploring Plain ViT Reconstruction for Multi-class Unsupervised Anomaly Detection
by: Zhang, Jiangning, et al.
Published: (2023)

MambaAD: Exploring State Space Models for Multi-class Unsupervised Anomaly Detection
by: He, Haoyang, et al.
Published: (2024)

Unsupervised Anomaly Detection via Masked Diffusion Posterior Sampling
by: Wu, Di, et al.
Published: (2024)

ONER: Online Experience Replay for Incremental Anomaly Detection
by: Jin, Yizhou, et al.
Published: (2024)

RcAE: Recursive Reconstruction Framework for Unsupervised Industrial Anomaly Detection
by: Wu, Rongcheng, et al.
Published: (2025)

Turbo-GoDec: Exploiting the Cluster Sparsity Prior for Hyperspectral Anomaly Detection
by: Sheng, Jiahui, et al.
Published: (2026)

Semantic-Deviation-Anchored Multi-Branch Fusion for Unsupervised Anomaly Detection and Localization in Unstructured Conveyor-Belt Coal Scenes
by: Jin, Wenping, et al.
Published: (2026)

Dual-Modeling Decouple Distillation for Unsupervised Anomaly Detection
by: Liu, Xinyue, et al.
Published: (2024)

One-Step Diffusion with Inverse Residual Fields for Unsupervised Industrial Anomaly Detection
by: Zhang, Boan, et al.
Published: (2026)

Fence off Anomaly Interference: Cross-Domain Distillation for Fully Unsupervised Anomaly Detection
by: Liu, Xinyue, et al.
Published: (2025)

Utilizing the Score of Data Distribution for Hyperspectral Anomaly Detection
by: Sheng, Jiahui, et al.
Published: (2026)

PromptMoE: Generalizable Zero-Shot Anomaly Detection via Visually-Guided Prompt Mixtures
by: Shao, Yuheng, et al.
Published: (2025)

A Survey on RGB, 3D, and Multimodal Approaches for Unsupervised Industrial Image Anomaly Detection
by: Lin, Yuxuan, et al.
Published: (2024)

AnomalyCLIP: Object-agnostic Prompt Learning for Zero-shot Anomaly Detection
by: Zhou, Qihang, et al.
Published: (2023)

Scale-Aware Contrastive Reverse Distillation for Unsupervised Medical Anomaly Detection
by: Li, Chunlei, et al.
Published: (2025)

Dinomaly: The Less Is More Philosophy in Multi-Class Unsupervised Anomaly Detection
by: Guo, Jia, et al.
Published: (2024)

Component-aware Unsupervised Logical Anomaly Generation for Industrial Anomaly Detection
by: Tong, Xuan, et al.
Published: (2025)

Position-Guided Prompt Learning for Anomaly Detection in Chest X-Rays
by: Sun, Zhichao, et al.
Published: (2024)

On-Device Continual Learning for Unsupervised Visual Anomaly Detection in Dynamic Manufacturing
by: Ren, Haoyu, et al.
Published: (2025)

FDP: A Frequency-Decomposition Preprocessing Pipeline for Unsupervised Anomaly Detection in Brain MRI
by: Li, Hao, et al.
Published: (2025)

Conditioned Prompt-Optimization for Continual Deepfake Detection
by: Laiti, Francesco, et al.
Published: (2024)

Context Enhancement with Reconstruction as Sequence for Unified Unsupervised Anomaly Detection
by: Yang, Hui-Yue, et al.
Published: (2024)

HLGFA: High-Low Resolution Guided Feature Alignment for Unsupervised Anomaly Detection
by: Zhou, Han, et al.
Published: (2026)

PromptAD: Learning Prompts with only Normal Samples for Few-Shot Anomaly Detection
by: Li, Xiaofan, et al.
Published: (2024)

Prompt-based Distribution Alignment for Unsupervised Domain Adaptation
by: Bai, Shuanghao, et al.
Published: (2023)

PromptKD: Unsupervised Prompt Distillation for Vision-Language Models
by: Li, Zheng, et al.
Published: (2024)

Text-Guided Multimodal Unified Industrial Anomaly Detection
by: Li, Zewen, et al.
Published: (2026)

CSAD: Unsupervised Component Segmentation for Logical Anomaly Detection
by: Hsieh, Yu-Hsuan, et al.
Published: (2024)

No Labels, No Look-Ahead: Unsupervised Online Video Stabilization with Classical Priors
by: Liu, Tao, et al.
Published: (2026)

MLE-UVAD: Minimal Latent Entropy Autoencoder for Fully Unsupervised Video Anomaly Detection
by: Geng, Yuang, et al.
Published: (2026)

RealNet: A Feature Selection Network with Realistic Synthetic Anomaly for Anomaly Detection
by: Zhang, Ximiao, et al.
Published: (2024)

Multi-Prompt Alignment for Multi-Source Unsupervised Domain Adaptation
by: Chen, Haoran, et al.
Published: (2022)

Adaptive Label Smoothing for Out-of-Distribution Detection
by: Xu, Mingle, et al.
Published: (2024)

Learning Unified Reference Representation for Unsupervised Multi-class Anomaly Detection
by: He, Liren, et al.
Published: (2024)