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AD Research Hub — Anomaly Detection in Computer Vision

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Guansong Pang

The University of Adelaide

Anomaly Detectionh-index: 218 citations

Homepage Source Page Semantic Scholar

Anomaly Detection Research

Research Theme

visual and foundation-model anomaly detection

resolvedmedium confidencepdf

Latest slide deck found from the ICCV 2025 anomaly-detection tutorial materials linked on the official publications page.

A fuller tutorial video is available from the CVPR 2023 anomaly-detection tutorial page.

Slides

Video

Related Papers (3)

Fine-grained Abnormality Prompt Learning for Zero-shot Anomaly Detection

Jiawen Zhu, Yew-Soon Ong, Chunhua Shen +1

ICCV-2025direct anomaly13

anomaly detection

Zero-shot

Auxiliary Prompt Tuning of Vision-Language Models for Few-Shot Out-of-Distribution Detection

Wenjun Miao, Guansong Pang, Zihan Wang +2

ICCV-2025broader adjacent4

out-of-distribution

Few-shot

PDF

Adaptive Deviation Learning for Visual Anomaly Detection with Data Contamination

Anindya Sundar Das, Guansong Pang, Monowar Bhuyan

WACV-2025direct anomaly23

anomaly detectionvisual anomaly

MVTecVisA

Cross-References

Papers (3)

Fine-grained Abnormality Prompt Learning for Zero-shot Anomaly Detection Auxiliary Prompt Tuning of Vision-Language Models for Few-Shot Out-of-Distribution Detection Adaptive Deviation Learning for Visual Anomaly Detection with Data Contamination

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