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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 21–30 of 187 papers

TitleStatusHype
Efficient Feature Aggregation and Scale-Aware Regression for Monocular 3D Object DetectionCode1
FCOS3D: Fully Convolutional One-Stage Monocular 3D Object DetectionCode1
3DPPE: 3D Point Positional Encoding for Transformer-based Multi-Camera 3D Object DetectionCode1
GrooMeD-NMS: Grouped Mathematically Differentiable NMS for Monocular 3D Object DetectionCode1
Cross-Modality Knowledge Distillation Network for Monocular 3D Object DetectionCode1
GUPNet++: Geometry Uncertainty Propagation Network for Monocular 3D Object DetectionCode1
3D Copy-Paste: Physically Plausible Object Insertion for Monocular 3D DetectionCode1
Is Pseudo-Lidar needed for Monocular 3D Object detection?Code1
Delving into Localization Errors for Monocular 3D Object DetectionCode1
Geometry-based Distance Decomposition for Monocular 3D Object DetectionCode1
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