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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 121–130 of 187 papers

TitleStatusHype
Is Pseudo-Lidar needed for Monocular 3D Object detection?Code1
Progressive Coordinate Transforms for Monocular 3D Object DetectionCode1
Probabilistic and Geometric Depth: Detecting Objects in Perspective—0
Geometry Uncertainty Projection Network for Monocular 3D Object DetectionCode1
Learning Geometry-Guided Depth via Projective Modeling for Monocular 3D Object DetectionCode1
Aug3D-RPN: Improving Monocular 3D Object Detection by Synthetic Images with Virtual Depth—0
Disentangling and Vectorization: A 3D Visual Perception Approach for Autonomous Driving Based on Surround-View Fisheye Cameras—0
Neighbor-Vote: Improving Monocular 3D Object Detection through Neighbor Distance VotingCode0
Monocular 3D Object Detection: An Extrinsic Parameter Free Approach—0
Cross Modality Knowledge Distillation for Multi-Modal Aerial View Object ClassificationCode0
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