Sparse Voxel Meets View: Bridging Local Geometry and Global Semantics via Linear Attention in Place Recognition
This work proposes SBC-Net, a dual-branch architecture that integrates sparse voxel features with Bird’s-Eye View representations with Bird’s-Eye View representations via Sparse BEV Convolution (SBC), with the aim of producing highly discriminative and robust descriptors.