SparseBEV
SparseBEV is an advanced project focusing on sparse 3D object detection using multi-camera footage, designed for high efficiency and accuracy. The official PyTorch implementation, recognized at ICCV 2023, showcases top-tier performance on the nuScenes dataset. Its unique sparse sampling method boosts processing efficiency without sacrificing accuracy. The project also offers a model zoo for diverse benchmarking needs, and features like SparseOcc and visualization tools make it highly beneficial for developers and researchers.