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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 51–60 of 187 papers

TitleStatusHype
MonoNeRD: NeRF-like Representations for Monocular 3D Object DetectionCode1
MonoNext: A 3D Monocular Object Detection with ConvNext—0
Monocular 3D Object Detection with LiDAR Guided Semi Supervised Active Learning—0
Understanding Depth Map Progressively: Adaptive Distance Interval Separation for Monocular 3d Object Detection—0
Weakly Supervised 3D Object Detection with Multi-Stage Generalization—0
VCVW-3D: A Virtual Construction Vehicles and Workers Dataset with 3D AnnotationsCode0
Monocular 2D Camera-based Proximity Monitoring for Human-Machine Collision Warning on Construction SitesCode0
Learning Occupancy for Monocular 3D Object DetectionCode1
MonoTDP: Twin Depth Perception for Monocular 3D Object Detection in Adverse Scenes—0
SSD-MonoDETR: Supervised Scale-aware Deformable Transformer for Monocular 3D Object DetectionCode1
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