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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
MonoDistill: Learning Spatial Features for Monocular 3D Object DetectionCode1
Learning Auxiliary Monocular Contexts Helps Monocular 3D Object DetectionCode1
SGM3D: Stereo Guided Monocular 3D Object DetectionCode1
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
Is Pseudo-Lidar needed for Monocular 3D Object detection?Code1
Progressive Coordinate Transforms for Monocular 3D Object DetectionCode1
Geometry Uncertainty Projection Network for Monocular 3D Object DetectionCode1
Learning Geometry-Guided Depth via Projective Modeling for Monocular 3D Object DetectionCode1
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