Hyperbolic Distillation: Geometry-Guided Cross-Modal Transfer for Robust 3D Object Detection

ArXi:2605.09899v1 Announce Type: cross Cross-modal knowledge distillation has emerged as an effective strategy for integrating point cloud and image features in 3D perception tasks. However, the modality heterogeneity, spatial misalignment, and the representation crisis of multiple modalities often limit the efficient of these cross-modal distillation methods. To address these limitations in existing approaches, we propose a hyperbolic constrained cross-modal distillation method for multimodal 3D object detection (HGC-Det