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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
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
MonoPair: Monocular 3D Object Detection Using Pairwise Spatial RelationshipsCode1
Total3DUnderstanding: Joint Layout, Object Pose and Mesh Reconstruction for Indoor Scenes from a Single ImageCode1
SMOKE: Single-Stage Monocular 3D Object Detection via Keypoint EstimationCode1
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
RefinedMPL: Refined Monocular PseudoLiDAR for 3D Object Detection in Autonomous Driving—0
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