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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

Showing 111120 of 187 papers

TitleStatusHype
Dimension Embeddings for Monocular 3D Object Detection0
The Devil is in the Task: Exploiting Reciprocal Appearance-Localization Features for Monocular 3D Object Detection0
Learning Auxiliary Monocular Contexts Helps Monocular 3D Object DetectionCode1
SGM3D: Stereo Guided Monocular 3D Object DetectionCode1
UrbanNet: Leveraging Urban Maps for Long Range 3D Object DetectionCode0
MonoCInIS: Camera Independent Monocular 3D Object Detection using Instance Segmentation0
Digging Into Output Representation for Monocular 3D Object Detection0
MVM3Det: A Novel Method for Multi-view Monocular 3D DetectionCode1
Advancing Self-supervised Monocular Depth Learning with Sparse LiDARCode1
AutoShape: Real-Time Shape-Aware Monocular 3D Object DetectionCode1
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