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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 161–170 of 187 papers

TitleStatusHype
Monocular 3D Object Detection via Feature Domain Adaptation—0
Object-Aware Centroid Voting for Monocular 3D Object Detection—0
CubifAE-3D: Monocular Camera Space Cubification for Auto-Encoder based 3D Object Detection—0
Center3D: Center-based Monocular 3D Object Detection with Joint Depth Understanding—0
3D Object Detection from a Single Fisheye Image Without a Single Fisheye Training Image—0
MobilePose: Real-Time Pose Estimation for Unseen Objects with Weak Shape Supervision—0
Monocular 3D Object Detection with Decoupled Structured Polygon Estimation and Height-Guided Depth Estimation—0
Towards Generalization Across Depth for Monocular 3D Object Detection—0
PerspectiveNet: 3D Object Detection from a Single RGB Image via Perspective Points—0
Learning Depth-Guided Convolutions for Monocular 3D Object DetectionCode0
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