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 14511460 of 1576 papers

TitleStatusHype
A*3D Dataset: Towards Autonomous Driving in Challenging EnvironmentsCode0
F-Cooper: Feature based Cooperative Perception for Autonomous Vehicle Edge Computing System Using 3D Point Clouds0
Multi-Sensor 3D Object Box Refinement for Autonomous Driving0
MLOD: A multi-view 3D object detection based on robust feature fusion method0
Object Viewpoint Classification Based 3D Bounding Box Estimation for Autonomous Vehicles0
3D Bounding Box Estimation for Autonomous Vehicles by Cascaded Geometric Constraints and Depurated 2D Detections Using 3D Results0
StarNet: Targeted Computation for Object Detection in Point Clouds0
Class-balanced Grouping and Sampling for Point Cloud 3D Object DetectionCode0
IoU Loss for 2D/3D Object DetectionCode0
Star-convex Polyhedra for 3D Object Detection and Segmentation in MicroscopyCode2
Show:102550
← PrevPage 146 of 158Next →

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