Abstract: We present DPA-Net, a lightweight yet highly discriminative LiDAR place recognition network that combines sparse 3D convolution with deformable point-based attention. Unlike conventional ...
Abstract: Learning discriminative point-wise representations remains the central challenge in scene-level, correspondence-based point cloud registration. Most existing methods process two frames ...
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