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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 61–70 of 187 papers

TitleStatusHype
Homography Loss for Monocular 3D Object DetectionCode1
Delving into Motion-Aware Matching for Monocular 3D Object TrackingCode1
SSD-MonoDETR: Supervised Scale-aware Deformable Transformer for Monocular 3D Object DetectionCode1
Lite-FPN for Keypoint-based Monocular 3D Object DetectionCode1
Learning Occupancy for Monocular 3D Object DetectionCode1
Is Pseudo-Lidar needed for Monocular 3D Object detection?Code1
Kinematic 3D Object Detection in Monocular VideoCode1
LabelDistill: Label-guided Cross-modal Knowledge Distillation for Camera-based 3D Object DetectionCode1
Learning Auxiliary Monocular Contexts Helps Monocular 3D Object DetectionCode1
Holistic 3D Scene Parsing and Reconstruction from a Single RGB ImageCode0
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