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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 91–100 of 187 papers

TitleStatusHype
Understanding Depth Map Progressively: Adaptive Distance Interval Separation for Monocular 3d Object Detection—0
Towards Unified 3D Object Detection via Algorithm and Data Unification—0
Unsupervised Domain Adaptation for Monocular 3D Object Detection via Self-Training—0
VFMM3D: Releasing the Potential of Image by Vision Foundation Model for Monocular 3D Object Detection—0
V-MIND: Building Versatile Monocular Indoor 3D Detector with Diverse 2D Annotations—0
Weak Cube R-CNN: Weakly Supervised 3D Detection using only 2D Bounding Boxes—0
LAM3D: Leveraging Attention for Monocular 3D Object Detection—0
You Only Look Bottom-Up for Monocular 3D Object Detection—0
Weakly Supervised 3D Object Detection with Multi-Stage Generalization—0
3D Object Aided Self-Supervised Monocular Depth Estimation—0
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