A training-free pipeline with LLM-generated prompts, grounding detection, and CLIP matching raises zero-shot anomaly detection AUROC on MVTec-AD and VisA above the WinCLIP baseline.
A framework for industrial inspection system using deep learning,
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
citation-role summary
background 1
citation-polarity summary
fields
cs.CV 1years
2024 1verdicts
CONDITIONAL 1roles
background 1polarities
support 1representative citing papers
citing papers explorer
-
Automatic Prompt Generation and Grounding Object Detection for Zero-Shot Image Anomaly Detection
A training-free pipeline with LLM-generated prompts, grounding detection, and CLIP matching raises zero-shot anomaly detection AUROC on MVTec-AD and VisA above the WinCLIP baseline.