Suchergebnisse - conventional autoencoder-model verification

Lightweight Multi-Class Autoencoder Model for Malicious Traffic Detection in Private 5G Networks von Kim, Jinha, Kim, Hwankuk

“… Conventional deep learning-based detection approaches encounter difficulties in real-time processing and edge environment applications because of their significant computational complexity and resource demands …”
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Invisible-to-Visible: Privacy-Aware Human Segmentation using Airborne Ultrasound via Collaborative Learning Probabilistic U-Net von Tanigawa, Risako, Ishii, Yasunori, Kozuka, Kazuki, Yamashita, Takayoshi

“… Color images are easy to understand visually and can acquire a great deal of information, such as color and texture. They are highly and widely used in tasks …”
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Invisible-to-Visible: Privacy-Aware Human Instance Segmentation using Airborne Ultrasound via Collaborative Learning Variational Autoencoder von Tanigawa, Risako, Ishii, Yasunori, Kozuka, Kazuki, Yamashita, Takayoshi

“… In action understanding in indoor, we have to recognize human pose and action considering privacy. Although camera images can be used for highly accurate human …”
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