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 151–175 of 187 papers

TitleStatusHype
ImVoxelNet: Image to Voxels Projection for Monocular and Multi-View General-Purpose 3D Object DetectionCode0
MonoGRNet: A General Framework for Monocular 3D Object Detection—0
OCM3D: Object-Centric Monocular 3D Object Detection—0
Exploring Geometric Consistency for Monocular 3D Object Detection—0
IAFA: Instance-aware Feature Aggregation for 3D Object Detection from a Single Image—0
Gated3D: Monocular 3D Object Detection From Temporal Illumination Cues—0
Are we Missing Confidence in Pseudo-LiDAR Methods for Monocular 3D Object Detection?—0
Learning Monocular 3D Vehicle Detection without 3D Bounding Box Labels—0
Reinforced Axial Refinement Network for Monocular 3D Object Detection—0
Distance-Normalized Unified Representation for Monocular 3D Object Detection—0
Monocular 3D Object Detection via Feature Domain Adaptation—0
Object-Aware Centroid Voting for Monocular 3D Object Detection—0
CubifAE-3D: Monocular Camera Space Cubification for Auto-Encoder based 3D Object Detection—0
Center3D: Center-based Monocular 3D Object Detection with Joint Depth Understanding—0
3D Object Detection from a Single Fisheye Image Without a Single Fisheye Training Image—0
MobilePose: Real-Time Pose Estimation for Unseen Objects with Weak Shape Supervision—0
Monocular 3D Object Detection with Decoupled Structured Polygon Estimation and Height-Guided Depth Estimation—0
Towards Generalization Across Depth for Monocular 3D Object Detection—0
PerspectiveNet: 3D Object Detection from a Single RGB Image via Perspective Points—0
Learning Depth-Guided Convolutions for Monocular 3D Object DetectionCode0
RefinedMPL: Refined Monocular PseudoLiDAR for 3D Object Detection in Autonomous Driving—0
Accurate Monocular 3D Object Detection via Color-Embedded 3D Reconstruction for Autonomous Driving—0
Monocular 3D Object Detection and Box Fitting Trained End-to-End Using Intersection-over-Union Loss—0
Disentangling Monocular 3D Object Detection—0
Shift R-CNN: Deep Monocular 3D Object Detection with Closed-Form Geometric Constraints—0
Show:102550
← PrevPage 7 of 8Next →

No leaderboard results yet.