Cover Image

Wavelet-Enhanced PaDiM for Industrial Anomaly Detection

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Gardner, Cory, Min, Byungseok, Ahn, Tae-Hyuk
Format:	Preprint
Published:	2025
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

Patch distribution modeling framework adaptive cosine estimator (PaDiM-ACE) for anomaly detection and localization in synthetic aperture radar imagery
by: Ibarra, Angelina, et al.
Published: (2025)

On the Problem of Consistent Anomalies in Zero-Shot Industrial Anomaly Detection
by: Le-Gia, Tai, et al.
Published: (2025)

Towards High-Resolution Industrial Image Anomaly Detection
by: Zhang, Ximiao, et al.
Published: (2025)

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

AFR-CLIP: Enhancing Zero-Shot Industrial Anomaly Detection with Stateless-to-Stateful Anomaly Feature Rectification
by: Yuan, Jingyi, et al.
Published: (2025)

WMoE-CLIP: Wavelet-Enhanced Mixture-of-Experts Prompt Learning for Zero-Shot Anomaly Detection
by: Chen, Peng, et al.
Published: (2026)

EMIT: Enhancing MLLMs for Industrial Anomaly Detection via Difficulty-Aware GRPO
by: Guan, Wei, et al.
Published: (2025)

Tuned Reverse Distillation: Enhancing Multimodal Industrial Anomaly Detection with Crossmodal Tuners
by: Liu, Xinyue, et al.
Published: (2024)

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

IPAD: Industrial Process Anomaly Detection Dataset
by: Liu, Jinfan, et al.
Published: (2024)

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

ADPretrain: Advancing Industrial Anomaly Detection via Anomaly Representation Pretraining
by: Yao, Xincheng, et al.
Published: (2025)

Center-aware Residual Anomaly Synthesis for Multi-class Industrial Anomaly Detection
by: Chen, Qiyu, et al.
Published: (2025)

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

Multimodal Industrial Anomaly Detection by Crossmodal Feature Mapping
by: Costanzino, Alex, et al.
Published: (2023)

Breaking the Bias: Recalibrating the Attention of Industrial Anomaly Detection
by: Chen, Xin, et al.
Published: (2024)

Deep Industrial Image Anomaly Detection: A Survey
by: Liu, Jiaqi, et al.
Published: (2023)

Normal and Abnormal Pathology Knowledge-Augmented Vision-Language Model for Anomaly Detection in Pathology Images
by: Song, Jinsol, et al.
Published: (2025)

IndusAgent: Reinforcing Open-Vocabulary Industrial Anomaly Detection with Agentic Tools
by: Tan, Rongbin, et al.
Published: (2026)

AnyAnomaly: Zero-Shot Customizable Video Anomaly Detection with LVLM
by: Ahn, Sunghyun, et al.
Published: (2025)

PaSTe: Improving the Efficiency of Visual Anomaly Detection at the Edge
by: Barusco, Manuel, et al.
Published: (2024)

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

A Unified Anomaly Synthesis Strategy with Gradient Ascent for Industrial Anomaly Detection and Localization
by: Chen, Qiyu, et al.
Published: (2024)

Mitigating Spurious Negative Pairs for Robust Industrial Anomaly Detection
by: Mirzaei, Hossein, et al.
Published: (2025)

Self-Navigated Residual Mamba for Universal Industrial Anomaly Detection
by: Li, Hanxi, et al.
Published: (2025)

Collaborative Reconstruction and Repair for Multi-class Industrial Anomaly Detection
by: Wang, Qishan, et al.
Published: (2025)

Template-Based Feature Aggregation Network for Industrial Anomaly Detection
by: Luo, Wei, et al.
Published: (2026)

Towards Efficient Pixel Labeling for Industrial Anomaly Detection and Localization
by: Li, Hanxi, et al.
Published: (2024)

Normality Addition via Normality Detection in Industrial Image Anomaly Detection Models
by: Yi, Jihun, et al.
Published: (2024)

AnoRefiner: Anomaly-Aware Group-Wise Refinement for Zero-Shot Industrial Anomaly Detection
by: Huang, Dayou, et al.
Published: (2025)

AnomalyR1: A GRPO-based End-to-end MLLM for Industrial Anomaly Detection
by: Chao, Yuhao, et al.
Published: (2025)

Progressive Boundary Guided Anomaly Synthesis for Industrial Anomaly Detection
by: Chen, Qiyu, et al.
Published: (2024)

Robust Distribution Alignment for Industrial Anomaly Detection under Distribution Shift
by: Liao, Jingyi, et al.
Published: (2025)

LR-IAD:Mask-Free Industrial Anomaly Detection with Logical Reasoning
by: Zeng, Peijian, et al.
Published: (2025)

OmniAD: Detect and Understand Industrial Anomaly via Multimodal Reasoning
by: Zhao, Shifang, et al.
Published: (2025)

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

Industrial Anomaly Detection and Localization Using Weakly-Supervised Residual Transformers
by: Li, Hanxi, et al.
Published: (2023)

Self-supervised Feature Adaptation for 3D Industrial Anomaly Detection
by: Tu, Yuanpeng, et al.
Published: (2024)

FAIR: Frequency-aware Image Restoration for Industrial Visual Anomaly Detection
by: Liu, Tongkun, et al.
Published: (2023)

Incomplete Multimodal Industrial Anomaly Detection via Cross-Modal Distillation
by: Sui, Wenbo, et al.
Published: (2024)