Cover Image

Towards High-Resolution Industrial Image Anomaly Detection

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Zhang, Ximiao, Xu, Min, Zhou, Xiuzhuang
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

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

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

MediCLIP: Adapting CLIP for Few-shot Medical Image Anomaly Detection
by: Zhang, Ximiao, et al.
Published: (2024)

Towards High-Resolution 3D Anomaly Detection: A Scalable Dataset and Real-Time Framework for Subtle Industrial Defects
by: Cheng, Yuqi, et al.
Published: (2025)

Billet Number Recognition Based on Test-Time Adaptation
by: Wei, Yuan, et al.
Published: (2025)

Learning to Calibrate for Reliable Visual Fire Detection
by: Zhang, Ziqi, et al.
Published: (2025)

RASLF: Representation-Aware State Space Model for Light Field Super-Resolution
by: Wei, Zeqiang, et al.
Published: (2026)

Towards Pixel-Wise Anomaly Location for High-Resolution PCBA via Self-Supervised Image Reconstruction
by: Liu, Wuyi, et al.
Published: (2025)

Divide and Conquer: High-Resolution Industrial Anomaly Detection via Memory Efficient Tiled Ensemble
by: Rolih, Blaž, et al.
Published: (2024)

Masked Contrastive Reconstruction for Cross-modal Medical Image-Report Retrieval
by: Wei, Zeqiang, et al.
Published: (2023)

$L^2$FMamba: Lightweight Light Field Image Super-Resolution with State Space Model
by: Wei, Zeqiang, et al.
Published: (2025)

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

RoBiS: Robust Binary Segmentation for High-Resolution Industrial Images
by: Li, Xurui, et al.
Published: (2025)

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

AnomalyNCD: Towards Novel Anomaly Class Discovery in Industrial Scenarios
by: Huang, Ziming, et al.
Published: (2024)

Wavelet-Enhanced PaDiM for Industrial Anomaly Detection
by: Gardner, Cory, et al.
Published: (2025)

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

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

CXR-AD: Component X-ray Image Dataset for Industrial Anomaly Detection
by: Bai, Haoyu, et al.
Published: (2025)

Prior Normality Prompt Transformer for Multi-class Industrial Image Anomaly Detection
by: Yao, Haiming, et al.
Published: (2024)

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

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

VarAD: Lightweight High-Resolution Image Anomaly Detection via Visual Autoregressive Modeling
by: Cao, Yunkang, et al.
Published: (2024)

Supervised Anomaly Detection for Complex Industrial Images
by: Baitieva, Aimira, et al.
Published: (2024)

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

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

Towards Explainable Industrial Anomaly Detection via Knowledge-Guided Latent Reasoning
by: Chen, Peng, et al.
Published: (2026)

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

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

JanusNet: Hierarchical Slice-Block Shuffle and Displacement for Semi-Supervised 3D Multi-Organ Segmentation
by: Zhang, Zheng, et al.
Published: (2025)

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

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

Towards Efficient Pixel Labeling for Industrial Anomaly Detection and Localization
by: Wu, Jingqi, et al.
Published: (2025)

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

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

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

Token-Shuffle: Towards High-Resolution Image Generation with Autoregressive Models
by: Ma, Xu, et al.
Published: (2025)

ESOD: Efficient Small Object Detection on High-Resolution Images
by: Liu, Kai, et al.
Published: (2024)

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

IM-IAD: Industrial Image Anomaly Detection Benchmark in Manufacturing
by: Xie, Guoyang, et al.
Published: (2023)