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 341350 of 1576 papers

TitleStatusHype
TempBEV: Improving Learned BEV Encoders with Combined Image and BEV Space Temporal Aggregation0
Equivariant Spatio-Temporal Self-Supervision for LiDAR Object Detection0
Leveraging 3D LiDAR Sensors to Enable Enhanced Urban Safety and Public Health: Pedestrian Monitoring and Abnormal Activity Detection0
VFMM3D: Releasing the Potential of Image by Vision Foundation Model for Monocular 3D Object Detection0
Run-time Monitoring of 3D Object Detection in Automated Driving Systems Using Early Layer Neural Activation Patterns0
SparseAD: Sparse Query-Centric Paradigm for Efficient End-to-End Autonomous Driving0
Scaling Multi-Camera 3D Object Detection through Weak-to-Strong ElicitingCode2
Sparse Points to Dense Clouds: Enhancing 3D Detection with Limited LiDAR Data0
Label-Efficient 3D Object Detection For Road-Side Units0
Better Monocular 3D Detectors with LiDAR from the PastCode1
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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