Calvin Tanama

Quantized Distillation: Optimizing Driver Activity Recognition Models for Resource-Constrained Environments

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 drive…