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Multi-Perspective Anomaly Detection
Anomaly detection is a critical problem in the manufacturing industry. In many applications, images of objects to be analyzed are captured from multiple perspectives which can be exploited to improve the robustness of anomaly detection. In this work, we build upon the deep support vector data descri...
Autores principales: | Jakob, Peter, Madan, Manav, Schmid-Schirling, Tobias, Valada, Abhinav |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8399776/ https://www.ncbi.nlm.nih.gov/pubmed/34450753 http://dx.doi.org/10.3390/s21165311 |
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