MetaUAS: Universal Anomaly Segmentation with One-Prompt Meta-Learning
Paper
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2505.09265
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Published
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4
Visual-Anomaly-Detection
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Learning to Detect Multi-class Anomalies with Just One Normal Image Prompt
Paper • 2505.09264 • Published • 4 -
Few-Shot Anomaly-Driven Generation for Anomaly Classification and Segmentation
Paper • 2505.09263 • Published • 4 -
AdaptCLIP: Adapting CLIP for Universal Visual Anomaly Detection
Paper • 2505.09926 • Published • 5 -
Real-IAD: A Real-World Multi-View Dataset for Benchmarking Versatile Industrial Anomaly Detection
Paper • 2403.12580 • Published -
Real-IAD D3: A Real-World 2D/Pseudo-3D/3D Dataset for Industrial Anomaly Detection
Paper • 2504.14221 • Published -
How to Reduce Change Detection to Semantic Segmentation
Paper • 2206.07557 • Published