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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 41–50 of 187 papers

TitleStatusHype
MonoSKD: General Distillation Framework for Monocular 3D Object Detection via Spearman Correlation CoefficientCode1
Rotation Matters: Generalized Monocular 3D Object Detection for Various Camera Systems—0
CoBEV: Elevating Roadside 3D Object Detection with Depth and Height ComplementarityCode1
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
MonoUNI: A Unified Vehicle and Infrastructure-side Monocular 3D Object Detection Network with Sufficient Depth CluesCode1
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
Perspective-aware Convolution for Monocular 3D Object DetectionCode0
Delving into Motion-Aware Matching for Monocular 3D Object TrackingCode1
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