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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 31–40 of 187 papers

TitleStatusHype
Multi-task Learning for Real-time Autonomous Driving Leveraging Task-adaptive Attention Generator—0
Towards Unified 3D Object Detection via Algorithm and Data Unification—0
You Only Look Bottom-Up for Monocular 3D Object Detection—0
Depth-discriminative Metric Learning for Monocular 3D Object Detection—0
MonoDiff: Monocular 3D Object Detection and Pose Estimation with Diffusion Models—0
MonoLSS: Learnable Sample Selection For Monocular 3D DetectionCode1
Mono3DVG: 3D Visual Grounding in Monocular ImagesCode1
3D Copy-Paste: Physically Plausible Object Insertion for Monocular 3D DetectionCode1
ODM3D: Alleviating Foreground Sparsity for Semi-Supervised Monocular 3D Object DetectionCode0
GUPNet++: Geometry Uncertainty Propagation Network for Monocular 3D Object DetectionCode1
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