Deploying deep neural network (DNN) models on resource-constrained edge devices for
real-time video analytics poses significant challenges due to the high resource demands of …

Real-time video analytics on edge devices has gained increasing attention across a wide
range of business areas. However, edge devices usually have limited computing resources …

Deep convolutional neural network (NN)-based object detectors are not appropriate for
straightforward inference on high-resolution videos at edge devices, as maintaining high …

Recent years have witnessed a widespread use of deep neural networks (DNNs) in
providing various intelligent services, and vehicular networks are no exception. Given the …