most citedBidirectional Multimodal Prompt Learning with Scale-Aware Training for Few-Shot Multi-Class Anomaly Detection

1 citations · 1 across the 2 of their papers we have counts for

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2 papers

cs.CV2024★ 1 cited

Bidirectional Multimodal Prompt Learning with Scale-Aware Training for Few-Shot Multi-Class Anomaly Detection

Yujin Lee, Sewon Kim, Daeun Moon +2

Few-shot multi-class anomaly detection is crucial in real industrial settings, where only a few normal samples are available while numerous object types must be inspected. This set…

cs.CV2023

UniFormaly: Towards Task-Agnostic Unified Framework for Visual Anomaly Detection

Yujin Lee, Harin Lim, Seoyoon Jang +1

Visual anomaly detection aims to learn normality from normal images, but existing approaches are fragmented across various tasks: defect detection, semantic anomaly detection, mult…