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 71–80 of 187 papers

TitleStatusHype
Augment and Criticize: Exploring Informative Samples for Semi-Supervised Monocular 3D Object Detection—0
HeightFormer: A Semantic Alignment Monocular 3D Object Detection Method from Roadside Perspective—0
Deep Fitting Degree Scoring Network for Monocular 3D Object Detection—0
GS3D: An Efficient 3D Object Detection Framework for Autonomous Driving—0
Ground Plane Matters: Picking Up Ground Plane Prior in Monocular 3D Object Detection—0
Decoupled Pseudo-labeling for Semi-Supervised Monocular 3D Object Detection—0
MonoATT: Online Monocular 3D Object Detection with Adaptive Token Transformer—0
CubifAE-3D: Monocular Camera Space Cubification for Auto-Encoder based 3D Object Detection—0
Aug3D-RPN: Improving Monocular 3D Object Detection by Synthetic Images with Virtual Depth—0
Exploring Geometric Consistency for Monocular 3D Object Detection—0
Show:102550
← PrevPage 8 of 19Next →

No leaderboard results yet.