April 2, 2024, 7:47 p.m. | Alexander Gambashidze, Aleksandr Dadukin, Maksim Golyadkin, Maria Razzhivina, Ilya Makarov

cs.CV updates on arXiv.org arxiv.org

arXiv:2404.00679v1 Announce Type: new
Abstract: This paper addresses the critical challenges of sparsity and occlusion in LiDAR-based 3D object detection. Current methods often rely on supplementary modules or specific architectural designs, potentially limiting their applicability to new and evolving architectures. To our knowledge, we are the first to propose a versatile technique that seamlessly integrates into any existing framework for 3D Object Detection, marking the first instance of Weak-to-Strong generalization in 3D computer vision. We introduce a novel framework, X-Ray …

3d object 3d object detection arxiv cs.cv detection distillation object ray type x-ray

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