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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 176–187 of 187 papers

TitleStatusHype
Monocular 3D Object Detection via Geometric Reasoning on Keypoints—0
Deep Fitting Degree Scoring Network for Monocular 3D Object Detection—0
Monocular 3D Object Detection Leveraging Accurate Proposals and Shape ReconstructionCode0
Accurate Monocular Object Detection via Color-Embedded 3D Reconstruction for Autonomous Driving—0
GS3D: An Efficient 3D Object Detection Framework for Autonomous Driving—0
Monocular 3D Object Detection with Pseudo-LiDAR Point CloudCode0
ROI-10D: Monocular Lifting of 2D Detection to 6D Pose and Metric Shape—0
MonoGRNet: A Geometric Reasoning Network for Monocular 3D Object LocalizationCode0
Orthographic Feature Transform for Monocular 3D Object DetectionCode0
Cooperative Holistic Scene Understanding: Unifying 3D Object, Layout, and Camera Pose EstimationCode0
Holistic 3D Scene Parsing and Reconstruction from a Single RGB ImageCode0
Monocular 3D Object Detection for Autonomous Driving—0
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