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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
Rope3D: TheRoadside Perception Dataset for Autonomous Driving and Monocular 3D Object Detection Task—0
MonoDETR: Depth-guided Transformer for Monocular 3D Object DetectionCode2
MonoDTR: Monocular 3D Object Detection with Depth-Aware TransformerCode1
WeakM3D: Towards Weakly Supervised Monocular 3D Object DetectionCode1
MonoJSG: Joint Semantic and Geometric Cost Volume for Monocular 3D Object DetectionCode1
Time-to-Label: Temporal Consistency for Self-Supervised Monocular 3D Object Detection—0
Pseudo-Stereo for Monocular 3D Object Detection in Autonomous DrivingCode1
MonoDistill: Learning Spatial Features for Monocular 3D Object DetectionCode1
MDS-Net: A Multi-scale Depth Stratification Based Monocular 3D Object Detection Algorithm—0
Rope3D: The Roadside Perception Dataset for Autonomous Driving and Monocular 3D Object Detection Task—0
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