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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 91–100 of 187 papers

TitleStatusHype
Towards Unified 3D Object Detection via Algorithm and Data Unification—0
You Only Look Bottom-Up for Monocular 3D Object Detection—0
Depth-discriminative Metric Learning for Monocular 3D Object Detection—0
MonoDiff: Monocular 3D Object Detection and Pose Estimation with Diffusion Models—0
ODM3D: Alleviating Foreground Sparsity for Semi-Supervised Monocular 3D Object DetectionCode0
Rotation Matters: Generalized Monocular 3D Object Detection for Various Camera Systems—0
Every Dataset Counts: Scaling up Monocular 3D Object Detection with Joint Datasets Training—0
MonoGAE: Roadside Monocular 3D Object Detection with Ground-Aware Embeddings—0
Polygon Intersection-over-Union Loss for Viewpoint-Agnostic Monocular 3D Vehicle Detection—0
S^3-MonoDETR: Supervised Shape&Scale-perceptive Deformable Transformer for Monocular 3D Object DetectionCode0
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