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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 101–110 of 187 papers

TitleStatusHype
HeightFormer: A Semantic Alignment Monocular 3D Object Detection Method from Roadside Perspective—0
IAFA: Instance-aware Feature Aggregation for 3D Object Detection from a Single Image—0
IDMS: Instance Depth for Multi-scale Monocular 3D Object Detection—0
IROAM: Improving Roadside Monocular 3D Object Detection Learning from Autonomous Vehicle Data Domain—0
Learning Monocular 3D Vehicle Detection without 3D Bounding Box Labels—0
Learning to Zoom and Unzoom—0
MDS-Net: A Multi-scale Depth Stratification Based Monocular 3D Object Detection Algorithm—0
MobilePose: Real-Time Pose Estimation for Unseen Objects with Weak Shape Supervision—0
MoGDE: Boosting Mobile Monocular 3D Object Detection with Ground Depth Estimation—0
MonoATT: Online Monocular 3D Object Detection with Adaptive Token Transformer—0
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