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Monocular 3D Object Detection

Monocular 3D Object Detection is the task to draw 3D bounding box around objects in a single 2D RGB image. It is localization task but without any extra information like depth or other sensors or multiple-images.

Papers

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Showing 161–170 of 187 papers

TitleStatusHype
Polygon Intersection-over-Union Loss for Viewpoint-Agnostic Monocular 3D Vehicle Detection—0
Probabilistic and Geometric Depth: Detecting Objects in Perspective—0
RefinedMPL: Refined Monocular PseudoLiDAR for 3D Object Detection in Autonomous Driving—0
Reinforced Axial Refinement Network for Monocular 3D Object Detection—0
Revisiting Monocular 3D Object Detection from Scene-Level Depth Retargeting to Instance-Level Spatial Refinement—0
ROI-10D: Monocular Lifting of 2D Detection to 6D Pose and Metric Shape—0
Neighbor-Vote: Improving Monocular 3D Object Detection through Neighbor Distance VotingCode0
OBMO: One Bounding Box Multiple Objects for Monocular 3D Object DetectionCode0
Holistic 3D Scene Parsing and Reconstruction from a Single RGB ImageCode0
ODM3D: Alleviating Foreground Sparsity for Semi-Supervised Monocular 3D Object DetectionCode0
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