Reinforced Axial Refinement Network for Monocular 3D Object Detection

Monocular 3D object detection aims to extract the 3D position and properties of objects from a 2D input image. This is an ill-posed problem with a major difficulty lying in the information loss by depth-agnostic cameras... (read more)

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Datasets


TASK DATASET MODEL METRIC NAME METRIC VALUE GLOBAL RANK RESULT BENCHMARK
Vehicle Pose Estimation KITTI Cars Hard RAR-Net Average Orientation Similarity 66.90 # 16

Methods used in the Paper


METHOD TYPE
Axial
Image Model Blocks