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 81–90 of 187 papers

TitleStatusHype
Transfer Learning from Simulated to Real Scenes for Monocular 3D Object Detection—0
CARLA Drone: Monocular 3D Object Detection from a Different Perspective—0
LAM3D: Leveraging Attention for Monocular 3D Object Detection—0
MonoMM: A Multi-scale Mamba-Enhanced Network for Real-time Monocular 3D Object Detection—0
MonoDETRNext: Next-Generation Accurate and Efficient Monocular 3D Object Detector—0
MonoMAE: Enhancing Monocular 3D Detection through Depth-Aware Masked Autoencoders—0
VFMM3D: Releasing the Potential of Image by Vision Foundation Model for Monocular 3D Object Detection—0
MOSE: Boosting Vision-based Roadside 3D Object Detection with Scene Cues—0
Decoupled Pseudo-labeling for Semi-Supervised Monocular 3D Object Detection—0
Multi-task Learning for Real-time Autonomous Driving Leveraging Task-adaptive Attention Generator—0
Show:102550
← PrevPage 9 of 19Next →

No leaderboard results yet.