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

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 851–860 of 1576 papers

TitleStatusHype
A Flexible Multi-view Multi-modal Imaging System for Outdoor Scenes—0
A General Pipeline for 3D Detection of Vehicles—0
AGO-Net: Association-Guided 3D Point Cloud Object Detection Network—0
A Hierarchical Graph Network for 3D Object Detection on Point Clouds—0
ALCN: Adaptive Local Contrast Normalization—0
A Light Perspective for 3D Object Detection—0
An Empirical Analysis of Range for 3D Object Detection—0
An Empirical Study of Pseudo-Labeling for Image-based 3D Object Detection—0
A New Adversarial Perspective for LiDAR-based 3D Object Detection—0
Angle Based Feature Learning in GNN for 3D Object Detection using Point Cloud—0
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All datasetsnuScenesScanNetV2SUN-RGBD valKITTI Cars EasyKITTI Cars HardnuScenes Camera OnlyKITTI Cars Easy valKITTI Cars Moderate valnuscenes Camera-RadarView-of-Delft (val)KITTI Cars Hard valDAIR-V2X-I

Benchmark Results

#ModelMetricClaimedVerifiedStatus
1EA-LSSNDS0.78—Unverified
2MMFusion-eNDS0.77—Unverified
3MegFusionNDS0.77—Unverified
4RacoonPowerNDS0.76—Unverified
5BEVFusion-eNDS0.76—Unverified
6DeepInteraction-largeNDS0.76—Unverified
7DeepInteraction-eNDS0.76—Unverified
8DAANDS0.75—Unverified
9FusionVPENDS0.75—Unverified
10CenterPoint-FusionNDS0.75—Unverified