Quantized Distillation: Optimizing Driver Activity Recognition Models for Resource-Constrained Environments
Calvin Tanama,Kunyu Peng,Zdravko Marinov,Rainer Stiefelhagen,Alina Roitberg,Calvin Tanama,Kunyu Peng,Zdravko Marinov,Rainer Stiefelhagen,Alina Roitberg
Deep learning-based models are at the top of most driver observation benchmarks due to their remarkable accuracies but come with a high computational cost, while the resources are often limited in real-world driving scenarios. This paper presents a lightweight framework for resource- efficient driver activity recognition. We enhance 3D MobileNet, a speed-optimized neural architecture for video cla...
