3D Object Detection On Rope3D

Results

Performance results of various models on this benchmark

		Paper Title
MonoUNI	75.27	MonoUNI: A Unified Vehicle and Infrastructure-side Monocular 3D Object Detection Network with Sufficient Depth Clues
CoBEV	52.72	CoBEV: Elevating Roadside 3D Object Detection with Depth and Height Complementarity
BEVHeight	45.73	BEVHeight: A Robust Framework for Vision-based Roadside 3D Object Detection
BEVDepth	42.56	BEVDepth: Acquisition of Reliable Depth for Multi-view 3D Object Detection
BEVFormer	24.64	BEVFormer v2: Adapting Modern Image Backbones to Bird's-Eye-View Recognition via Perspective Supervision
Kinematic3D+(G)	17.74	Kinematic 3D Object Detection in Monocular Video
M3D-RPN+(G)	16.75	M3D-RPN: Monocular 3D Region Proposal Network for Object Detection
MonoDLE+(G)	13.58	Delving into Localization Errors for Monocular 3D Object Detection

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