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 31–40 of 187 papers

TitleStatusHype
A Simple Baseline for Multi-Camera 3D Object DetectionCode1
Densely Constrained Depth Estimator for Monocular 3D Object DetectionCode1
DID-M3D: Decoupling Instance Depth for Monocular 3D Object DetectionCode1
Mix-Teaching: A Simple, Unified and Effective Semi-Supervised Learning Framework for Monocular 3D Object DetectionCode1
MonoGround: Detecting Monocular 3D Objects from the GroundCode1
Homography Loss for Monocular 3D Object DetectionCode1
MonoDTR: Monocular 3D Object Detection with Depth-Aware TransformerCode1
MonoJSG: Joint Semantic and Geometric Cost Volume for Monocular 3D Object DetectionCode1
WeakM3D: Towards Weakly Supervised Monocular 3D Object DetectionCode1
Pseudo-Stereo for Monocular 3D Object Detection in Autonomous DrivingCode1
Show:102550
← PrevPage 4 of 19Next →

No leaderboard results yet.