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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
Efficient Feature Aggregation and Scale-Aware Regression for Monocular 3D Object DetectionCode1
WARM-3D: A Weakly-Supervised Sim2Real Domain Adaptation Framework for Roadside Monocular 3D Object DetectionCode1
LabelDistill: Label-guided Cross-modal Knowledge Distillation for Camera-based 3D Object DetectionCode1
MonoTAKD: Teaching Assistant Knowledge Distillation for Monocular 3D Object DetectionCode1
VSRD: Instance-Aware Volumetric Silhouette Rendering for Weakly Supervised 3D Object DetectionCode1
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
GUPNet++: Geometry Uncertainty Propagation Network for Monocular 3D Object DetectionCode1
MonoSKD: General Distillation Framework for Monocular 3D Object Detection via Spearman Correlation CoefficientCode1
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