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 12911300 of 1576 papers

TitleStatusHype
Object Viewpoint Classification Based 3D Bounding Box Estimation for Autonomous Vehicles0
SC3D: Label-Efficient Outdoor 3D Object Detection via Single Click Annotation0
OCBEV: Object-Centric BEV Transformer for Multi-View 3D Object Detection0
OCM3D: Object-Centric Monocular 3D Object Detection0
OcTr: Octree-based Transformer for 3D Object Detection0
Offboard 3D Object Detection from Point Cloud Sequences0
Once Detected, Never Lost: Surpassing Human Performance in Offline LiDAR based 3D Object Detection0
One for All: Multi-Domain Joint Training for Point Cloud Based 3D Object Detection0
On Offline Evaluation of 3D Object Detection for Autonomous Driving0
On the Evaluation of Prohibited Item Classification and Detection in Volumetric 3D Computed Tomography Baggage Security Screening Imagery0
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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