Abstract: Object detection is a critical component in various applications, yet conventional detection architectures are typically developed on RGB or grayscale databases, limiting their effectiveness ...
Abstract: Spectral Graph Convolutional Networks (GCNs) have gained popularity in graph machine learning applications due, in part, to their flexibility in specification of network propagation rules.
Detecting concealed explosives and chemical threats constitutes a critical challenge in global security, yet current technologies often face significant operational limitations. While X-ray scanners ...
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