Hao-Jing Wang

Evaluating Structured Pruning and Quantization Strategies for Edge-Efficient Traffic Object Detection

Traffic object detection for deployment is constrained by accuracy, latency, model size, and computational cost. Under a unified dataset, deployment pipeline, and single-GPU hardware platform (RTX 4090), this paper evaluates the combined effects of structured pruning and low-precision inference. Using YOLOv5s as the pr...