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インサイト - Anomaly Detection Framework
Multimodal Anomaly Detection for Object Slip Perception in Mobile Robots
The author presents a novel anomaly detection method using multisensory data and deep autoencoder models to detect object slip in mobile manipulation robots.
DMAD: Dual Memory Bank for Real-World Anomaly Detection
Unified framework DMAD enhances anomaly detection in real-world scenarios.
DMAD: Dual Memory Bank for Real-World Anomaly Detection
Proposing DMAD framework for real-world anomaly detection, combining unsupervised and semi-supervised scenarios.
