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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 131–140 of 187 papers

TitleStatusHype
Time3D: End-to-End Joint Monocular 3D Object Detection and Tracking for Autonomous Driving—0
Towards Model Generalization for Monocular 3D Object Detection—0
Diversity Matters: Fully Exploiting Depth Clues for Reliable Monocular 3D Object Detection—0
Unsupervised Domain Adaptation for Monocular 3D Object Detection via Self-Training—0
Shape-Aware Monocular 3D Object Detection—0
Rope3D: TheRoadside Perception Dataset for Autonomous Driving and Monocular 3D Object Detection Task—0
Time-to-Label: Temporal Consistency for Self-Supervised Monocular 3D Object Detection—0
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
Dimension Embeddings for Monocular 3D Object Detection—0
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