SOTAVerified

3D Object Detection

3D Object Detection is a task in computer vision where the goal is to identify and locate objects in a 3D environment based on their shape, location, and orientation. It involves detecting the presence of objects and determining their location in the 3D space in real-time. This task is crucial for applications such as autonomous vehicles, robotics, and augmented reality.

( Image credit: AVOD )

Papers

Showing 12511260 of 1576 papers

TitleStatusHype
MapFusion: A General Framework for 3D Object Detection with HDMaps0
ST3D: Self-training for Unsupervised Domain Adaptation on 3D Object DetectionCode1
Offboard 3D Object Detection from Point Cloud Sequences0
Machine-learning based methodologies for 3d x-ray measurement, characterization and optimization for buried structures in advanced ic packages0
A Simple and Efficient Multi-task Network for 3D Object Detection and Road UnderstandingCode1
Sparse LiDAR and Stereo Fusion (SLS-Fusion) for Depth Estimationand 3D Object Detection0
labelCloud: A Lightweight Domain-Independent Labeling Tool for 3D Object Detection in Point CloudsCode1
IAFA: Instance-aware Feature Aggregation for 3D Object Detection from a Single Image0
Pseudo-labeling for Scalable 3D Object Detection0
Categorical Depth Distribution Network for Monocular 3D Object DetectionCode1
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1EA-LSSNDS0.78Unverified
2MMFusion-eNDS0.77Unverified
3MegFusionNDS0.77Unverified
4RacoonPowerNDS0.76Unverified
5BEVFusion-eNDS0.76Unverified
6DeepInteraction-largeNDS0.76Unverified
7DeepInteraction-eNDS0.76Unverified
8DAANDS0.75Unverified
9FusionVPENDS0.75Unverified
10CenterPoint-FusionNDS0.75Unverified