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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 111–120 of 187 papers

TitleStatusHype
MonoCInIS: Camera Independent Monocular 3D Object Detection using Instance Segmentation—0
MonoCoP: Chain-of-Prediction for Monocular 3D Object Detection—0
MonoCT: Overcoming Monocular 3D Detection Domain Shift with Consistent Teacher Models—0
Monocular 3D Object Detection and Box Fitting Trained End-to-End Using Intersection-over-Union Loss—0
Monocular 3D Object Detection: An Extrinsic Parameter Free Approach—0
Monocular 3D Object Detection for Autonomous Driving—0
3D Object Detection from a Single Fisheye Image Without a Single Fisheye Training Image—0
Monocular 3D Object Detection using Multi-Stage Approaches with Attention and Slicing aided hyper inference—0
Monocular 3D Object Detection via Feature Domain Adaptation—0
Monocular 3D Object Detection via Geometric Reasoning on Keypoints—0
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