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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 41–50 of 187 papers

TitleStatusHype
CoBEV: Elevating Roadside 3D Object Detection with Depth and Height ComplementarityCode1
Lidar Point Cloud Guided Monocular 3D Object DetectionCode1
Densely Constrained Depth Estimator for Monocular 3D Object DetectionCode1
Efficient Feature Aggregation and Scale-Aware Regression for Monocular 3D Object DetectionCode1
Mix-Teaching: A Simple, Unified and Effective Semi-Supervised Learning Framework for Monocular 3D Object DetectionCode1
FCOS3D: Fully Convolutional One-Stage Monocular 3D Object DetectionCode1
Holistic 3D Scene Understanding from a Single Image with Implicit RepresentationCode1
Ground-aware Monocular 3D Object Detection for Autonomous DrivingCode1
GrooMeD-NMS: Grouped Mathematically Differentiable NMS for Monocular 3D Object DetectionCode1
GUPNet++: Geometry Uncertainty Propagation Network for Monocular 3D Object DetectionCode1
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