IA-SSD (Instance-Aware Single-Stage detector) is a CVPR 2022 Oral paper implementing a highly efficient point-based detector for 3D LiDAR point clouds. The method uses learnable sampling strategies and instance-aware features to achieve efficient 3D object detection without expensive proposal generation stages. It is designed for real-time autonomous driving applications and is implemented in PyTorch.