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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 101–110 of 187 papers

TitleStatusHype
Accurate Monocular Object Detection via Color-Embedded 3D Reconstruction for Autonomous Driving—0
Accurate Monocular 3D Object Detection via Color-Embedded 3D Reconstruction for Autonomous Driving—0
Aug3D-RPN: Improving Monocular 3D Object Detection by Synthetic Images with Virtual Depth—0
Augment and Criticize: Exploring Informative Samples for Semi-Supervised Monocular 3D Object Detection—0
AuxDepthNet: Real-Time Monocular 3D Object Detection with Depth-Sensitive Features—0
Boosting Monocular 3D Object Detection with Object-Centric Auxiliary Depth Supervision—0
CARLA Drone: Monocular 3D Object Detection from a Different Perspective—0
Center3D: Center-based Monocular 3D Object Detection with Joint Depth Understanding—0
Consistency of Implicit and Explicit Features Matters for Monocular 3D Object Detection—0
CramNet: Camera-Radar Fusion with Ray-Constrained Cross-Attention for Robust 3D Object Detection—0
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