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 1121–1130 of 1576 papers

TitleStatusHype
ImLiDAR: Cross-Sensor Dynamic Message Propagation Network for 3D Object Detection—0
Impact of Video Compression Artifacts on Fisheye Camera Visual Perception Tasks—0
ImpDet: Exploring Implicit Fields for 3D Object Detection—0
Implicit Surface Contrastive Clustering for LiDAR Point Clouds—0
Improved Pillar with Fine-grained Feature for 3D Object Detection—0
Improving 3D Object Detection for Pedestrians with Virtual Multi-View Synthesis Orientation Estimation—0
Improving 3D Object Detection through Progressive Population Based Augmentation—0
epBRM: Improving a Quality of 3D Object Detection using End Point Box Regression Module—0
Improving Distant 3D Object Detection Using 2D Box Supervision—0
Improving LiDAR 3D Object Detection via Range-based Point Cloud Density Optimization—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