Name
Abstract | ||
|---|---|---|
•PEDENet is proposed for unsupervised image anomaly detection and localization.•PEDENet jointly optimizes local patch embeddings and density estimation.•PEDENet can be trained in an end-to-end manner with only normal images.•PEDENet has state-of-the-art performance on unsupervised anomaly localization. |
Year | DOI | Venue |
|---|---|---|
2022 | 10.1016/j.patrec.2021.11.030 | Pattern Recognition Letters |
Keywords | DocType | Volume |
Image anomaly detection,Image anomaly localization,Density estimation | Journal | 153 |
ISSN | Citations | PageRank |
0167-8655 | 0 | 0.34 |
References | Authors | |
0 | 3 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Kaitai Zhang | 1 | 1 | 1.72 |
| Bin Wang | 2 | 0 | 0.34 |
| C. -C. Jay Kuo | 3 | 0 | 0.34 |