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 701–710 of 1576 papers

TitleStatusHype
Breaking the SSL-AL Barrier: A Synergistic Semi-Supervised Active Learning Framework for 3D Object Detection—0
Drosophila-Inspired 3D Moving Object Detection Based on Point Clouds—0
An Empirical Analysis of Range for 3D Object Detection—0
LXL: LiDAR Excluded Lean 3D Object Detection with 4D Imaging Radar and Camera Fusion—0
DriveWorld: 4D Pre-trained Scene Understanding via World Models for Autonomous Driving—0
BOX3D: Lightweight Camera-LiDAR Fusion for 3D Object Detection and Localization—0
DPointNet: A Density-Oriented PointNet for 3D Object Detection in Point Clouds—0
Adjusting Bias in Long Range Stereo Matching: A semantics guided approach—0
LAM3D: Leveraging Attention for Monocular 3D Object Detection—0
LS-VOS: Identifying Outliers in 3D Object Detections Using Latent Space Virtual Outlier Synthesis—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