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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 81–90 of 187 papers

TitleStatusHype
CramNet: Camera-Radar Fusion with Ray-Constrained Cross-Attention for Robust 3D Object Detection—0
Where2comm: Communication-Efficient Collaborative Perception via Spatial Confidence MapsCode2
A Simple Baseline for Multi-Camera 3D Object DetectionCode1
MonoSIM: Simulating Learning Behaviors of Heterogeneous Point Cloud Object Detectors for Monocular 3D Object DetectionCode0
Aerial Monocular 3D Object DetectionCode0
Monocular 3D Object Detection with Depth from MotionCode2
DEVIANT: Depth EquiVarIAnt NeTwork for Monocular 3D Object DetectionCode2
Densely Constrained Depth Estimator for Monocular 3D Object DetectionCode1
DID-M3D: Decoupling Instance Depth for Monocular 3D Object DetectionCode1
Consistency of Implicit and Explicit Features Matters for Monocular 3D Object Detection—0
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