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3D Object Detection On Rope3D

Metrics

AP@0.7

Results

Performance results of various models on this benchmark

Model Name
AP@0.7
Paper TitleRepository
BEVDepth42.56BEVDepth: Acquisition of Reliable Depth for Multi-view 3D Object Detection
BEVFormer24.64BEVFormer v2: Adapting Modern Image Backbones to Bird's-Eye-View Recognition via Perspective Supervision
BEVHeight45.73BEVHeight: A Robust Framework for Vision-based Roadside 3D Object Detection
CoBEV52.72CoBEV: Elevating Roadside 3D Object Detection with Depth and Height Complementarity-
MonoDLE+(G)13.58Delving into Localization Errors for Monocular 3D Object Detection
Kinematic3D+(G)17.74Kinematic 3D Object Detection in Monocular Video
M3D-RPN+(G)16.75M3D-RPN: Monocular 3D Region Proposal Network for Object Detection
MonoUNI75.27MonoUNI: A Unified Vehicle and Infrastructure-side Monocular 3D Object Detection Network with Sufficient Depth Clues
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