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 911–920 of 1576 papers

TitleStatusHype
Multi-modal Streaming 3D Object Detection—0
MSMDFusion: Fusing LiDAR and Camera at Multiple Scales with Multi-Depth Seeds for 3D Object DetectionCode0
SEFormer: Structure Embedding Transformer for 3D Object Detection—0
Scatter Points in Space: 3D Detection from Multi-view Monocular Images—0
3DLG-Detector: 3D Object Detection via Simultaneous Local-Global Feature Learning—0
PV-RCNN++: Semantical Point-Voxel Feature Interaction for 3D Object Detection—0
Bridging the View Disparity Between Radar and Camera Features for Multi-modal Fusion 3D Object Detection—0
Anytime-Lidar: Deadline-aware 3D Object Detection—0
AGO-Net: Association-Guided 3D Point Cloud Object Detection Network—0
DeepInteraction: 3D Object Detection via Modality InteractionCode2
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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