OpenCodePapers
zero-shot-anomaly-detection-on-mpdd-zero-shot-cross-domain
Anomaly Detection
Zero-Shot Anomaly Detection
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Detection AUROC
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Segmentation AUROC
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Detection AP
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Detection F1-max
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Segmentation F1-max
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ModelName
ReleaseDate
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Crane: Context-Guided Prompt Learning and Attention Refinement for Zero-Shot Anomaly Detections
✓ Link
81.4
97.0
84.8
81.6
38.2
Crane (CLIP ViT-L/14@336, zero-shot) (extra data)
2025-04-15
Defect-aware Hybrid Prompt Optimization for Zero-Shot Multi-type Anomaly Detection and Segmentation
81.2
95.1
83.6
DAPO
2026-09-08
Crane: Context-Guided Prompt Learning and Attention Refinement for Zero-Shot Anomaly Detections
✓ Link
81.0
97.6
84.1
83.0
42.0
Crane+ (CLIP ViT-L/14@336 + DINOv2-B14, zero-shot) (extra data)
2025-04-15
From Attraction to Equilibrium: Physics-Inspired Semantic Gravitons for Zero-Shot Anomaly Detection
80.8
97.5
SGNet
2026-06-03
AA-CLIP: Enhancing Zero-Shot Anomaly Detection via Anomaly-Aware CLIP
✓ Link
75.1
AA-CLIP
2025-03-09
TIPS Over Tricks: Simple Prompts for Effective Zero-shot Anomaly Detection
✓ Link
74.7
95.9
76.8
79.7
36.1
Tipsomaly (TIPS-L/14 HR, Zero-shot) (extra data)
2026-02-03
Proximity-CLIP: Text-Guided Semantic Proximity Learning for Zero-Shot Anomaly Detection
74.1
96.2
Proximity-CLIP (extra data)
2026-09-08
AdaCLIP: Adapting CLIP with Hybrid Learnable Prompts for Zero-Shot Anomaly Detection
✓ Link
82.5
34.9
AdaCLIP (zero-shot) (extra data)
2024-07-22
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