Image de couverture de livre

Dual Prototype-Conditioned Diffusion Model for Scalable Multi-Class Unsupervised Anomaly Detection in Large Category Spaces

Fuente: arXiv

Enregistré dans:

Détails bibliographiques
Auteurs principaux:	Feng, Yaoxuan, Li, Yuxin, Lv, Weijiang, Zhao, Zixuan, Wang, Yubiao, Chen, Wenchao, Chen, Bo, Liu, Hongwei
Format:	Preprint
Publié:	2026
Sujets:	Computer Vision and Pattern Recognition
Accès en ligne:	Acceder al recurso
Tags:	Ajouter un tag Pas de tags, Soyez le premier à ajouter un tag!

Documents similaires

SPD-Faith Bench: Diagnosing and Improving Faithfulness in Chain-of-Thought for Multimodal Large Language Models
par: Lv, Weijiang, et autres
Publié: (2026)

Enhancing Multi-Class Anomaly Detection via Diffusion Refinement with Dual Conditioning
par: Zhan, Jiawei, et autres
Publié: (2024)

Memory-Augmented Dual-Decoder Networks for Multi-Class Unsupervised Anomaly Detection
par: Xing, Jingyu, et autres
Publié: (2025)

FastRef:Fast Prototype Refinement for Few-Shot Industrial Anomaly Detection
par: Tian, Long, et autres
Publié: (2025)

Pro-AD: Learning Comprehensive Prototypes with Prototype-based Constraint for Multi-class Unsupervised Anomaly Detection
par: Zhou, Ziqing, et autres
Publié: (2025)

One-Step Diffusion with Inverse Residual Fields for Unsupervised Industrial Anomaly Detection
par: Zhang, Boan, et autres
Publié: (2026)

Dinomaly: The Less Is More Philosophy in Multi-Class Unsupervised Anomaly Detection
par: Guo, Jia, et autres
Publié: (2024)

AnomalySD: Few-Shot Multi-Class Anomaly Detection with Stable Diffusion Model
par: Yan, Zhenyu, et autres
Publié: (2024)

DDGAD: Trajectory Dynamics for Diffusion-Based Graph Anomaly Detection
par: Yang, Yuxin, et autres
Publié: (2026)

ShortcutBreaker: Low-Rank Noisy Bottleneck and Frequency Filtering Block for Multi-Class Unsupervised Anomaly Detection
par: Tang, Peng, et autres
Publié: (2025)

Correcting Deviations from Normality: A Reformulated Diffusion Model for Multi-Class Unsupervised Anomaly Detection
par: Beizaee, Farzad, et autres
Publié: (2025)

Semantically Guided Dynamic Visual Prototype Refinement for Compositional Zero-Shot Learning
par: Peng, Zhong, et autres
Publié: (2025)

Diffusion-based Layer-wise Semantic Reconstruction for Unsupervised Out-of-Distribution Detection
par: Yang, Ying, et autres
Publié: (2024)

Guided Reconstruction with Conditioned Diffusion Models for Unsupervised Anomaly Detection in Brain MRIs
par: Behrendt, Finn, et autres
Publié: (2023)

MambaAD: Exploring State Space Models for Multi-class Unsupervised Anomaly Detection
par: He, Haoyang, et autres
Publié: (2024)

MCDDPM: Multichannel Conditional Denoising Diffusion Model for Unsupervised Anomaly Detection in Brain MRI
par: Trivedi, Vivek Kumar, et autres
Publié: (2024)

Generalist Graph Anomaly Detection via Prototype-Based Distillation
par: Xu, Yiming, et autres
Publié: (2026)

Unsupervised Identification and Replay-based Detection (UIRD) for New Category Anomaly Detection in ECG Signal
par: Shi, Zhangyue, et autres
Publié: (2025)

Dual Conditioned Motion Diffusion for Pose-Based Video Anomaly Detection
par: Wang, Hongsong, et autres
Publié: (2024)

Understanding the Essence: Delving into Annotator Prototype Learning for Multi-Class Annotation Aggregation
par: Chen, Ju, et autres
Publié: (2025)

Multi-Source Unsupervised Domain Adaptation with Prototype Aggregation
par: Huang, Min, et autres
Publié: (2024)

MAEDiff: Masked Autoencoder-enhanced Diffusion Models for Unsupervised Anomaly Detection in Brain Images
par: Xu, Rui, et autres
Publié: (2024)

Unsupervised Low-dose CT Reconstruction with One-way Conditional Normalizing Flows
par: An, Ran, et autres
Publié: (2024)

Prototypical Learning Guided Context-Aware Segmentation Network for Few-Shot Anomaly Detection
par: Jiang, Yuxin, et autres
Publié: (2025)

Class-Prototype Conditional Diffusion Model with Gradient Projection for Continual Learning
par: Doan, Khanh, et autres
Publié: (2023)

Dual-Modeling Decouple Distillation for Unsupervised Anomaly Detection
par: Liu, Xinyue, et autres
Publié: (2024)

CoPS: Conditional Prompt Synthesis for Zero-Shot Anomaly Detection
par: Chen, Qiyu, et autres
Publié: (2025)

Multi-Granularity Class Prototype Topology Distillation for Class-Incremental Source-Free Unsupervised Domain Adaptation
par: Deng, Peihua, et autres
Publié: (2024)

Scalable Context-Aware Graph Attention for Unsupervised Anomaly Detection in Large-Scale Mobile Networks
par: Malacarne, Sara, et autres
Publié: (2026)

Large Language Model Guided Knowledge Distillation for Time Series Anomaly Detection
par: Liu, Chen, et autres
Publié: (2024)

Unsupervised Detection of Fetal Brain Anomalies using Denoising Diffusion Models
par: Olsen, Markus Ditlev Sjøgren, et autres
Publié: (2024)

Ensembled Cold-Diffusion Restorations for Unsupervised Anomaly Detection
par: Marimont, Sergio Naval, et autres
Publié: (2024)

Dual-Student Knowledge Distillation Networks for Unsupervised Anomaly Detection
par: Yao, Liyi, et autres
Publié: (2024)

How Low Can You Go? Surfacing Prototypical In-Distribution Samples for Unsupervised Anomaly Detection
par: Meissen, Felix, et autres
Publié: (2023)

Diffusion Models with Ensembled Structure-Based Anomaly Scoring for Unsupervised Anomaly Detection
par: Behrendt, Finn, et autres
Publié: (2024)

Unified Unsupervised and Sparsely-Supervised 3D Object Detection by Semantic Pseudo-Labeling and Prototype Learning
par: He, Yushen, et autres
Publié: (2026)

VLMDiff: Leveraging Vision-Language Models for Multi-Class Anomaly Detection with Diffusion
par: Hicsonmez, Samet, et autres
Publié: (2025)

Distribution Prototype Diffusion Learning for Open-set Supervised Anomaly Detection
par: Wang, Fuyun, et autres
Publié: (2025)

Unsupervised Continual Anomaly Detection with Contrastively-learned Prompt
par: Liu, Jiaqi, et autres
Publié: (2024)

SoftPatch: Unsupervised Anomaly Detection with Noisy Data
par: Jiang, Xi, et autres
Publié: (2024)