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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
MonoTDP: Twin Depth Perception for Monocular 3D Object Detection in Adverse Scenes—0
MOSE: Boosting Vision-based Roadside 3D Object Detection with Scene Cues—0
Multi-task Learning for Real-time Autonomous Driving Leveraging Task-adaptive Attention Generator—0
Object-Aware Centroid Voting for Monocular 3D Object Detection—0
OCM3D: Object-Centric Monocular 3D Object Detection—0
OPA-3D: Occlusion-Aware Pixel-Wise Aggregation for Monocular 3D Object Detection—0
PerspectiveNet: 3D Object Detection from a Single RGB Image via Perspective Points—0
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
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