Normality Addition via Normality Detection in Industrial Image Anomaly Detection Models
normality within images based on textual descriptions.We then modify the results of a pre-trained IAD model to implement this normality addition.Using the benchmark dataset in IAD, MVTec AD, we establish an evaluation protocol for the normality addition task and empirically demonstrate the effectiveness of the NAND method.
Authors
- Dahuin Jung (ORCID: https://orcid.org/0000-0002-1344-1054)
- Jihun Yi (ORCID: https://orcid.org/0000-0001-5762-6643)
- Sungroh Yoon (ORCID: https://orcid.org/0000-0002-2367-197X)
Institutions
- Seoul National University (KR)
- Soongsil University (KR)
Publication Details
- Published
- 2024-09-20
- DOI
- https://doi.org/10.1145/3703935.3703977
- Primary Topic
- Anomaly Detection Techniques and Applications
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- National Research Foundation
- Seoul National University
- National Research Foundation of Korea
- Ministry of Science and ICT, South Korea
- Samsung
- Institute for Information and Communications Technology Promotion