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
PointSeg: Real-Time Semantic Segmentation Based on 3D LiDAR Point CloudCode0
Leveraging Pre-Trained 3D Object Detection Models For Fast Ground Truth Generation0
Symmetry Aware Evaluation of 3D Object Detection and Pose Estimation in Scenes of Many Parts in Bulk0
Multi-Level Fusion Based 3D Object Detection From Monocular Images0
3D Object Detection With Latent Support Surfaces0
CubeSLAM: Monocular 3D Object SLAMCode1
Scene Understanding Networks for Autonomous Driving based on Around View Monitoring System0
BirdNet: a 3D Object Detection Framework from LiDAR informationCode1
Falling Things: A Synthetic Dataset for 3D Object Detection and Pose Estimation0
Complex-YOLO: Real-time 3D Object Detection on Point CloudsCode2
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1EA-LSSNDS0.78Unverified
2MegFusionNDS0.77Unverified
3MMFusion-eNDS0.77Unverified
4BEVFusion-eNDS0.76Unverified
5RacoonPowerNDS0.76Unverified
6DeepInteraction-largeNDS0.76Unverified
7DeepInteraction-eNDS0.76Unverified
8FusionVPENDS0.75Unverified
9FocalFormer3D-FNDS0.75Unverified
10CenterPoint-FusionNDS0.75Unverified