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Datasets

Greatest papers with code

FCOS3D: Fully Convolutional One-Stage Monocular 3D Object Detection

22 Apr 2021open-mmlab/mmdetection3d

In this technical report, we study this problem with a practice built on fully convolutional single-stage detector and propose a general framework FCOS3D.

AUTONOMOUS DRIVING MONOCULAR 3D OBJECT DETECTION

SMOKE: Single-Stage Monocular 3D Object Detection via Keypoint Estimation

24 Feb 2020lzccccc/SMOKE

Estimating 3D orientation and translation of objects is essential for infrastructure-less autonomous navigation and driving.

AUTONOMOUS NAVIGATION MONOCULAR 3D OBJECT DETECTION

Learning Depth-Guided Convolutions for Monocular 3D Object Detection

CVPR 2020 dingmyu/D4LCN

3D object detection from a single image without LiDAR is a challenging task due to the lack of accurate depth information.

MONOCULAR 3D OBJECT DETECTION VEHICLE POSE ESTIMATION

Orthographic Feature Transform for Monocular 3D Object Detection

20 Nov 2018tom-roddick/oft

This allows us to reason holistically about the spatial configuration of the scene in a domain where scale is consistent and distances between objects are meaningful.

3D OBJECT DETECTION FROM MONOCULAR IMAGES MONOCULAR 3D OBJECT DETECTION

Monocular 3D Object Detection with Pseudo-LiDAR Point Cloud

23 Mar 2019xinshuoweng/mono3D_PLiDAR

Following the pipeline of two-stage 3D detection algorithms, we detect 2D object proposals in the input image and extract a point cloud frustum from the pseudo-LiDAR for each proposal.

MONOCULAR 3D OBJECT DETECTION MONOCULAR DEPTH ESTIMATION SCENE UNDERSTANDING

Kinematic 3D Object Detection in Monocular Video

ECCV 2020 garrickbrazil/kinematic3d

In this work, we propose a novel method for monocular video-based 3D object detection which carefully leverages kinematic motion to improve precision of 3D localization.

MONOCULAR 3D OBJECT DETECTION VEHICLE POSE ESTIMATION

Categorical Depth Distribution Network for Monocular 3D Object Detection

1 Mar 2021TRAILab/CaDDN

We validate our approach on the KITTI 3D object detection benchmark, where we rank 1st among published monocular methods.

AUTONOMOUS VEHICLES DEPTH ESTIMATION MONOCULAR 3D OBJECT DETECTION