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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 31–40 of 187 papers

TitleStatusHype
Ground-aware Monocular 3D Object Detection for Autonomous DrivingCode1
Advancing Self-supervised Monocular Depth Learning with Sparse LiDARCode1
GrooMeD-NMS: Grouped Mathematically Differentiable NMS for Monocular 3D Object DetectionCode1
GUPNet++: Geometry Uncertainty Propagation Network for Monocular 3D Object DetectionCode1
Depth-conditioned Dynamic Message Propagation for Monocular 3D Object DetectionCode1
Densely Constrained Depth Estimator for Monocular 3D Object DetectionCode1
DID-M3D: Decoupling Instance Depth for Monocular 3D Object DetectionCode1
Categorical Depth Distribution Network for Monocular 3D Object DetectionCode1
3DPPE: 3D Point Positional Encoding for Multi-Camera 3D Object Detection TransformersCode1
Geometry-based Distance Decomposition for Monocular 3D Object DetectionCode1
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