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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 171–180 of 187 papers

TitleStatusHype
Reinforced Axial Refinement Network for Monocular 3D Object Detection—0
Revisiting Monocular 3D Object Detection from Scene-Level Depth Retargeting to Instance-Level Spatial Refinement—0
ROI-10D: Monocular Lifting of 2D Detection to 6D Pose and Metric Shape—0
Rope3D: The Roadside Perception Dataset for Autonomous Driving and Monocular 3D Object Detection Task—0
Rope3D: TheRoadside Perception Dataset for Autonomous Driving and Monocular 3D Object Detection Task—0
Rotation Matters: Generalized Monocular 3D Object Detection for Various Camera Systems—0
Self-Supervised 3D Monocular Object Detection by Recycling Bounding Boxes—0
Shape-Aware Monocular 3D Object Detection—0
Shift R-CNN: Deep Monocular 3D Object Detection with Closed-Form Geometric Constraints—0
Towards Generalization Across Depth for Monocular 3D Object Detection—0
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