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 15411550 of 1576 papers

TitleStatusHype
Symmetry Aware Evaluation of 3D Object Detection and Pose Estimation in Scenes of Many Parts in Bulk0
3D Object Detection With Latent Support Surfaces0
Multi-Level Fusion Based 3D Object Detection From Monocular Images0
Scene Understanding Networks for Autonomous Driving based on Around View Monitoring System0
Falling Things: A Synthetic Dataset for 3D Object Detection and Pose Estimation0
A General Pipeline for 3D Detection of Vehicles0
SBNet: Sparse Blocks Network for Fast InferenceCode0
Joint 3D Proposal Generation and Object Detection from View AggregationCode0
PointFusion: Deep Sensor Fusion for 3D Bounding Box EstimationCode0
SGPN: Similarity Group Proposal Network for 3D Point Cloud Instance SegmentationCode0
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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