GIAD: Generative Inpainting-Based Anomaly Detection via Self-Supervised Learning for Human Monitoring

Ning Dong 0001, Einoshin Suzuki. GIAD: Generative Inpainting-Based Anomaly Detection via Self-Supervised Learning for Human Monitoring. In Duc Nghia Pham, Thanaruk Theeramunkong, Guido Governatori, Fenrong Liu, editors, PRICAI 2021: Trends in Artificial Intelligence - 18th Pacific Rim International Conference on Artificial Intelligence, PRICAI 2021, Hanoi, Vietnam, November 8-12, 2021, Proceedings, Part II. Volume 13032 of Lecture Notes in Computer Science, pages 418-432, Springer, 2021. [doi]

Abstract

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