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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 51–60 of 187 papers

TitleStatusHype
Geometry-based Distance Decomposition for Monocular 3D Object DetectionCode1
Geometry Uncertainty Projection Network for Monocular 3D Object DetectionCode1
Learning Geometry-Guided Depth via Projective Modeling for Monocular 3D Object DetectionCode1
Ground-aware Monocular 3D Object Detection for Autonomous DrivingCode1
MonoRUn: Monocular 3D Object Detection by Reconstruction and Uncertainty PropagationCode1
MonoDistill: Learning Spatial Features for Monocular 3D Object DetectionCode1
GUPNet++: Geometry Uncertainty Propagation Network for Monocular 3D Object DetectionCode1
MonoGround: Detecting Monocular 3D Objects from the GroundCode1
Delving into Localization Errors for Monocular 3D Object DetectionCode1
MonoUNI: A Unified Vehicle and Infrastructure-side Monocular 3D Object Detection Network with Sufficient Depth CluesCode1
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