Abstract: We present a convolutional neural network-based intrusion detection method called the normalized intrusion convolution kernel, integrated with a Mach-Zehnder Interferometer Optical Fiber ...

Abstract: Crowd counting and localization in dense scenes face dual challenges: drastic density variations and insufficient local feature modeling. Existing methods typically rely on fixed confidence ...