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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 151–160 of 187 papers

TitleStatusHype
ImVoxelNet: Image to Voxels Projection for Monocular and Multi-View General-Purpose 3D Object DetectionCode0
MonoGRNet: A General Framework for Monocular 3D Object Detection—0
OCM3D: Object-Centric Monocular 3D Object Detection—0
Exploring Geometric Consistency for Monocular 3D Object Detection—0
IAFA: Instance-aware Feature Aggregation for 3D Object Detection from a Single Image—0
Gated3D: Monocular 3D Object Detection From Temporal Illumination Cues—0
Are we Missing Confidence in Pseudo-LiDAR Methods for Monocular 3D Object Detection?—0
Learning Monocular 3D Vehicle Detection without 3D Bounding Box Labels—0
Reinforced Axial Refinement Network for Monocular 3D Object Detection—0
Distance-Normalized Unified Representation for Monocular 3D Object Detection—0
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