MVXCC-NET: Cross-modal 3D detection of occluded objects based on dual-path information complementation and regional weight modeling
MVXCC-NET is presented, a cross-modal 3D detection network for occluded objects based on dual-path information complementation and regional weight modeling, which improves the utilization efficiency of fused features, allowing visual semantic information and spatial geometric information to support each other.