SOTAVerified

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

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 171–180 of 187 papers

TitleStatusHype
Accurate Monocular 3D Object Detection via Color-Embedded 3D Reconstruction for Autonomous Driving—0
M3D-RPN: Monocular 3D Region Proposal Network for Object DetectionCode1
Monocular 3D Object Detection and Box Fitting Trained End-to-End Using Intersection-over-Union Loss—0
Disentangling Monocular 3D Object Detection—0
Shift R-CNN: Deep Monocular 3D Object Detection with Closed-Form Geometric Constraints—0
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
Show:102550
← PrevPage 18 of 19Next →

No leaderboard results yet.