Imagen de Portada

AnomalyHybrid: A Domain-agnostic Generative Framework for General Anomaly Detection

Fuente: arXiv

Guardado en:

Detalles Bibliográficos
Autor principal:	Zhao, Ying
Formato:	Preprint
Publicado:	2025
Materias:	Computer Vision and Pattern Recognition
Acceso en línea:	Acceder al recurso
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

Ejemplares similares

MIRAGE: Model-agnostic Industrial Realistic Anomaly Generation and Evaluation for Visual Anomaly Detection
por: Hu, Jinwei, et al.
Publicado: (2026)

AnomalyFactory: Regard Anomaly Generation as Unsupervised Anomaly Localization
por: Zhao, Ying
Publicado: (2024)

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

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

GeneralAD: Anomaly Detection Across Domains by Attending to Distorted Features
por: Sträter, Luc P. J., et al.
Publicado: (2024)

Generalization-aware Remote Sensing Change Detection via Domain-agnostic Learning
por: Zang, Qi, et al.
Publicado: (2025)

GlocalCLIP: Object-agnostic Global-Local Prompt Learning for Zero-shot Anomaly Detection
por: Ham, Jiyul, et al.
Publicado: (2024)

Double Helix Diffusion for Cross-Domain Anomaly Image Generation
por: Wu, Linchun, et al.
Publicado: (2025)

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

Semantic Visual Anomaly Detection and Reasoning in AI-Generated Images
por: Tan, Chuangchuang, et al.
Publicado: (2025)

Pseudo Anomalies Are All You Need: Diffusion-Based Generation for Weakly-Supervised Video Anomaly Detection
por: Hashimoto, Satoshi, et al.
Publicado: (2025)

Weakly Supervised Video Anomaly Detection with Anomaly-Connected Components and Intention Reasoning
por: Wang, Yu, et al.
Publicado: (2026)

Improving Anomaly Detection with Foundation-Model Synthesis and Wavelet-Domain Attention
por: Wu, Wensheng, et al.
Publicado: (2026)

Unseen Visual Anomaly Generation
por: Sun, Han, et al.
Publicado: (2024)

AnomalyDiffusion: Few-Shot Anomaly Image Generation with Diffusion Model
por: Hu, Teng, et al.
Publicado: (2023)

Self-Supervised Learning for Detecting AI-Generated Faces as Anomalies
por: Zou, Mian, et al.
Publicado: (2025)

Noise-Informed Diffusion-Generated Image Detection with Anomaly Attention
por: Guan, Weinan, et al.
Publicado: (2025)

ReplayCAD: Generative Diffusion Replay for Continual Anomaly Detection
por: Hu, Lei, et al.
Publicado: (2025)

A Recover-then-Discriminate Framework for Robust Anomaly Detection
por: Xing, Peng, et al.
Publicado: (2024)

Learn Suspected Anomalies from Event Prompts for Video Anomaly Detection
por: Tao, Chenchen, et al.
Publicado: (2024)

Domain Adaptation of Attention Heads for Zero-shot Anomaly Detection
por: Jeong, Kiyoon, et al.
Publicado: (2025)

Cross-Domain Learning for Video Anomaly Detection with Limited Supervision
por: Jain, Yashika, et al.
Publicado: (2024)

VADMamba++: Efficient Video Anomaly Detection via Hybrid Modeling in Grayscale Space
por: Lyu, Jihao, et al.
Publicado: (2026)

ASBench: Image Anomalies Synthesis Benchmark for Anomaly Detection
por: Zhang, Qunyi, et al.
Publicado: (2025)

HDM: Hybrid Diffusion Model for Unified Image Anomaly Detection
por: Weng, Zekang, et al.
Publicado: (2025)

Zero-Shot Image Anomaly Detection Using Generative Foundation Models
por: Abdi, Lemar, et al.
Publicado: (2025)

GenCLIP: Generalizing CLIP Prompts for Zero-shot Anomaly Detection
por: Kim, Donghyeong, et al.
Publicado: (2025)

UniADC: A Unified Framework for Anomaly Detection and Classification
por: Zhang, Ximiao, et al.
Publicado: (2025)

Generate Aligned Anomaly: Region-Guided Few-Shot Anomaly Image-Mask Pair Synthesis for Industrial Inspection
por: Lu, Yilin, et al.
Publicado: (2025)

Anomaly Heterogeneity Learning for Open-set Supervised Anomaly Detection
por: Zhu, Jiawen, et al.
Publicado: (2023)

Exploring the Magnitude-Shape Plot Framework for Anomaly Detection in Crowded Video Scenes
por: Wang, Zuzheng, et al.
Publicado: (2024)

Safeguarding Generative AI Applications in Preclinical Imaging through Hybrid Anomaly Detection
por: Binda, Jakub, et al.
Publicado: (2025)

Unsupervised Deep Generative Models for Anomaly Detection in Neuroimaging: A Systematic Scoping Review
por: Mahé, Youwan, et al.
Publicado: (2025)

A Comprehensive Augmentation Framework for Anomaly Detection
por: Lin, Jiang, et al.
Publicado: (2023)

Enhancing Anomaly Detection Generalization through Knowledge Exposure: The Dual Effects of Augmentation
por: Anvari, Mohammad Akhavan, et al.
Publicado: (2024)

AnomalyLMM: Bridging Generative Knowledge and Discriminative Retrieval for Text-Based Person Anomaly Search
por: Ju, Hao, et al.
Publicado: (2025)

Anomalies by Synthesis: Anomaly Detection using Generative Diffusion Models for Off-Road Navigation
por: Ancha, Siddharth, et al.
Publicado: (2025)

Few-Shot Anomaly-Driven Generation for Anomaly Classification and Segmentation
por: Gui, Guan, et al.
Publicado: (2025)

GroundingAnomaly: Spatially-Grounded Diffusion for Few-Shot Anomaly Synthesis
por: Liu, Yishen, et al.
Publicado: (2026)

Q-Former Autoencoder: A Modern Framework for Medical Anomaly Detection
por: Dalmonte, Francesco, et al.
Publicado: (2025)