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 15311540 of 1576 papers

TitleStatusHype
STONE: A Submodular Optimization Framework for Active 3D Object DetectionCode0
Eliminating Cross-modal Conflicts in BEV Space for LiDAR-Camera 3D Object DetectionCode0
LiDAR-Based 3D Object Detection via Hybrid 2D Semantic Scene GenerationCode0
A*3D Dataset: Towards Autonomous Driving in Challenging EnvironmentsCode0
QE-BEV: Query Evolution for Bird's Eye View Object Detection in Varied ContextsCode0
What You See is What You Get: Exploiting Visibility for 3D Object DetectionCode0
DVPE: Divided View Position Embedding for Multi-View 3D Object DetectionCode0
Leveraging Anchor-based LiDAR 3D Object Detection via Point Assisted Sample SelectionCode0
RUHSNet: 3D Object Detection Using Lidar Data in Real TimeCode0
Dual-Perspective Knowledge Enrichment for Semi-Supervised 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