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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
LabelDistill: Label-guided Cross-modal Knowledge Distillation for Camera-based 3D Object DetectionCode1
Fully Test-Time Adaptation for Monocular 3D Object DetectionCode2
MonoDETRNext: Next-Generation Accurate and Efficient Monocular 3D Object Detector—0
MonoMAE: Enhancing Monocular 3D Detection through Depth-Aware Masked Autoencoders—0
VFMM3D: Releasing the Potential of Image by Vision Foundation Model for Monocular 3D Object Detection—0
MOSE: Boosting Vision-based Roadside 3D Object Detection with Scene Cues—0
MonoTAKD: Teaching Assistant Knowledge Distillation for Monocular 3D Object DetectionCode1
MonoCD: Monocular 3D Object Detection with Complementary DepthsCode2
VSRD: Instance-Aware Volumetric Silhouette Rendering for Weakly Supervised 3D Object DetectionCode1
Decoupled Pseudo-labeling for Semi-Supervised Monocular 3D Object Detection—0
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