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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 11–20 of 187 papers

TitleStatusHype
3D Copy-Paste: Physically Plausible Object Insertion for Monocular 3D DetectionCode1
Depth-conditioned Dynamic Message Propagation for Monocular 3D Object DetectionCode1
3DPPE: 3D Point Positional Encoding for Transformer-based Multi-Camera 3D Object DetectionCode1
AutoShape: Real-Time Shape-Aware Monocular 3D Object DetectionCode1
DID-M3D: Decoupling Instance Depth for Monocular 3D Object DetectionCode1
Geometry-based Distance Decomposition for Monocular 3D Object DetectionCode1
A Simple Baseline for Multi-Camera 3D Object DetectionCode1
3DPPE: 3D Point Positional Encoding for Multi-Camera 3D Object Detection TransformersCode1
Delving into Motion-Aware Matching for Monocular 3D Object TrackingCode1
FCOS3D: Fully Convolutional One-Stage Monocular 3D Object DetectionCode1
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