Spatio-Temporal Pruning: A Generic Method for Edge-Based 3D Distracted Driver Recognition
Advanced 3D models such as 3D convolutional neural networks (CNNs) and vision transformers (ViTs) can accurately recognize distracted driver behavior in videos. However, these models demand considerable computational resources, making real-time inference on embedded platforms challenging. To address this issue, we prop...