3D Object Detection From Monocular Images
11 papers with code • 3 benchmarks • 3 datasets
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 )
Benchmarks
These leaderboards are used to track progress in 3D Object Detection From Monocular Images
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Waymo Open Dataset
KITTI-360
3D-POP
Latest papers with no code
Monocular Differentiable Rendering for Self-Supervised 3D Object Detection
3D object detection from monocular images is an ill-posed problem due to the projective entanglement of depth and scale.
CubifAE-3D: Monocular Camera Space Cubification for Auto-Encoder based 3D Object Detection
We introduce a method for 3D object detection using a single monocular image.
Disentangling Monocular 3D Object Detection
In this paper we propose an approach for monocular 3D object detection from a single RGB image, which leverages a novel disentangling transformation for 2D and 3D detection losses and a novel, self-supervised confidence score for 3D bounding boxes.
Learning 2D to 3D Lifting for Object Detection in 3D for Autonomous Vehicles
We address the problem of 3D object detection from 2D monocular images in autonomous driving scenarios.
Multi-Level Fusion Based 3D Object Detection From Monocular Images
In this paper, we present an end-to-end deep learning based framework for 3D object detection from a single monocular image.
