A Hybrid Sim-to-Real Framework for Industrial Object Detection Using Synthetic Data Augmentation and Inference-Time Fusion
We present a hybrid sim-to-real framework for the accurate detection of delivery boxes in a warehouse environment, without depending on large-scale, annotated real-world data. The framework combines realistic synthetic data generation using NVIDIA Isaac Sim to supplement limited real-world annotations, and an inference...