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 641650 of 1576 papers

TitleStatusHype
DVPE: Divided View Position Embedding for Multi-View 3D Object DetectionCode0
Dual-Perspective Knowledge Enrichment for Semi-Supervised 3D Object DetectionCode0
3D-SIS: 3D Semantic Instance Segmentation of RGB-D ScansCode0
Bridged Transformer for Vision and Point Cloud 3D Object DetectionCode0
Breaking Data Silos: Cross-Domain Learning for Multi-Agent Perception from Independent Private SourcesCode0
Analysis of voxel-based 3D object detection methods efficiency for real-time embedded systemsCode0
BoxCars: Improving Fine-Grained Recognition of Vehicles using 3-D Bounding Boxes in Traffic SurveillanceCode0
DR.CPO: Diversified and Realistic 3D Augmentation via Iterative Construction, Random Placement, and HPR OcclusionCode0
DPO: Dual-Perturbation Optimization for Test-time Adaptation in 3D Object DetectionCode0
Do You Remember . . . the Future? Weak-to-Strong generalization in 3D Object DetectionCode0
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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