Anomaly detection in images with shared autoencoders
Anomaly detection is a classical problem in computer vision, namely the determination of the normal from the abnormal when datasets are highly biased toward one class (normal) due to the insufficient sample size of the other class (abnormal). We introduce a novel model that utilizes two decoders to...
| 出版年: | Frontiers in Neurorobotics |
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| 主要な著者: | , |
| フォーマット: | 論文 |
| 言語: | 英語 |
| 出版事項: |
Frontiers Media S.A.
2023-01-01
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| 主題: | |
| オンライン･アクセス: | https://www.frontiersin.org/articles/10.3389/fnbot.2022.1046867/full |