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

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Showing 1111–1120 of 1576 papers

TitleStatusHype
Object Detection in 3D Point Clouds via Local Correlation-Aware Point Embedding—0
ObjectFusion: Multi-modal 3D Object Detection with Object-Centric Fusion—0
Object Removal Attacks on LiDAR-based 3D Object Detectors—0
Object Viewpoint Classification Based 3D Bounding Box Estimation for Autonomous Vehicles—0
SC3D: Label-Efficient Outdoor 3D Object Detection via Single Click Annotation—0
OCBEV: Object-Centric BEV Transformer for Multi-View 3D Object Detection—0
OCM3D: Object-Centric Monocular 3D Object Detection—0
OcTr: Octree-based Transformer for 3D Object Detection—0
Offboard 3D Object Detection from Point Cloud Sequences—0
Once Detected, Never Lost: Surpassing Human Performance in Offline LiDAR based 3D Object Detection—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