Name
Abstract | ||
|---|---|---|
•A reconstruction-by-inpainting-based anomaly detection method (RIAD) was proposed.•RIAD achieves state-of-the-art performance on anomaly detection and localization.•We compare RIAD anomaly detection results with recent anomaly detection methods.•The generality of RIAD is demonstrated by applying it on video anomaly detection. |
Year | DOI | Venue |
|---|---|---|
2021 | 10.1016/j.patcog.2020.107706 | Pattern Recognition |
Keywords | DocType | Volume |
Anomaly detection,Video anomaly detection,Inpainting,CNN | Journal | 112 |
Issue | ISSN | Citations |
1 | 0031-3203 | 3 |
PageRank | References | Authors |
0.43 | 0 | 3 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Vitjan Zavrtanik | 1 | 3 | 1.11 |
| Matej Kristan | 2 | 960 | 47.02 |
| Danijel Skčaj | 3 | 3 | 0.43 |