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 61–70 of 187 papers

TitleStatusHype
Holistic 3D Scene Understanding from a Single Image with Implicit RepresentationCode1
Categorical Depth Distribution Network for Monocular 3D Object DetectionCode1
Ground-aware Monocular 3D Object Detection for Autonomous DrivingCode1
Monocular 3D Object Detection with Sequential Feature Association and Depth Hint AugmentationCode1
Kinematic 3D Object Detection in Monocular VideoCode1
MonoPair: Monocular 3D Object Detection Using Pairwise Spatial RelationshipsCode1
Total3DUnderstanding: Joint Layout, Object Pose and Mesh Reconstruction for Indoor Scenes from a Single ImageCode1
SMOKE: Single-Stage Monocular 3D Object Detection via Keypoint EstimationCode1
M3D-RPN: Monocular 3D Region Proposal Network for Object DetectionCode1
SpikeSMOKE: Spiking Neural Networks for Monocular 3D Object Detection with Cross-Scale Gated Coding—0
Show:102550
← PrevPage 7 of 19Next →

No leaderboard results yet.