IPAD-CLIP adapts CLIP via artifact-aware text embeddings to detect multi-class local perceptual artifacts, backed by a new dataset of 3520 images with pixel-level masks.
Aa-clip: Enhancing zero-shot anomaly detection via anomaly-aware clip
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Align3D-AD improves zero-shot 3D anomaly detection by cross-modal feature alignment from RGB guidance and dual-prompt contrastive alignment to capture complementary semantics.
citing papers explorer
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IPAD-CLIP: Teaching CLIP to Detect Image Local Perceptual Artifacts
IPAD-CLIP adapts CLIP via artifact-aware text embeddings to detect multi-class local perceptual artifacts, backed by a new dataset of 3520 images with pixel-level masks.
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Align3D-AD: Cross-Modal Feature Alignment and Dual-Prompt Learning for Zero-shot 3D Anomaly Detection
Align3D-AD improves zero-shot 3D anomaly detection by cross-modal feature alignment from RGB guidance and dual-prompt contrastive alignment to capture complementary semantics.