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 131–140 of 187 papers

TitleStatusHype
MonoNext: A 3D Monocular Object Detection with ConvNext—0
MonoPGC: Monocular 3D Object Detection with Pixel Geometry Contexts—0
MonoTDP: Twin Depth Perception for Monocular 3D Object Detection in Adverse Scenes—0
MOSE: Boosting Vision-based Roadside 3D Object Detection with Scene Cues—0
Multi-task Learning for Real-time Autonomous Driving Leveraging Task-adaptive Attention Generator—0
Object-Aware Centroid Voting for Monocular 3D Object Detection—0
Rope3D: The Roadside Perception Dataset for Autonomous Driving and Monocular 3D Object Detection Task—0
Rope3D: TheRoadside Perception Dataset for Autonomous Driving and Monocular 3D Object Detection Task—0
Rotation Matters: Generalized Monocular 3D Object Detection for Various Camera Systems—0
Self-Supervised 3D Monocular Object Detection by Recycling Bounding Boxes—0
Show:102550
← PrevPage 14 of 19Next →

No leaderboard results yet.