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3D Object Detection From Monocular Images

This is the task of detecting 3D objects from monocular images (as opposed to LiDAR based counterparts). It is usually associated with autonomous driving based tasks.

( Image credit: Orthographic Feature Transform for Monocular 3D Object Detection )

Papers

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Showing 1–17 of 17 papers

TitleStatusHype
SeaBird: Segmentation in Bird's View with Dice Loss Improves Monocular 3D Detection of Large ObjectsCode2
DEVIANT: Depth EquiVarIAnt NeTwork for Monocular 3D Object DetectionCode2
Omni3D: A Large Benchmark and Model for 3D Object Detection in the WildCode2
MonoDETR: Depth-guided Transformer for Monocular 3D Object DetectionCode2
MonoDTR: Monocular 3D Object Detection with Depth-Aware TransformerCode1
ROCA: Robust CAD Model Retrieval and Alignment from a Single ImageCode1
Geometry Uncertainty Projection Network for Monocular 3D Object DetectionCode1
GrooMeD-NMS: Grouped Mathematically Differentiable NMS for Monocular 3D Object DetectionCode1
Delving into Localization Errors for Monocular 3D Object DetectionCode1
Monocular Differentiable Rendering for Self-Supervised 3D Object Detection—0
CubifAE-3D: Monocular Camera Space Cubification for Auto-Encoder based 3D Object Detection—0
M3D-RPN: Monocular 3D Region Proposal Network for Object DetectionCode1
Disentangling Monocular 3D Object Detection—0
Deep Hough Voting for 3D Object Detection in Point CloudsCode1
Learning 2D to 3D Lifting for Object Detection in 3D for Autonomous Vehicles—0
Orthographic Feature Transform for Monocular 3D Object DetectionCode0
Multi-Level Fusion Based 3D Object Detection From Monocular Images—0
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