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 631–640 of 1576 papers

TitleStatusHype
Cirrus: A Long-range Bi-pattern LiDAR Dataset—0
Learning 3D Perception from Others' Predictions—0
EVT: Efficient View Transformation for Multi-Modal 3D Object Detection—0
Every View Counts: Cross-View Consistency in 3D Object Detection with Hybrid-Cylindrical-Spherical Voxelization—0
Every Dataset Counts: Scaling up Monocular 3D Object Detection with Joint Datasets Training—0
Evaluating the Impact of Synthetic Data on Object Detection Tasks in Autonomous Driving—0
CenterRadarNet: Joint 3D Object Detection and Tracking Framework using 4D FMCW Radar—0
Equivariant Spatio-Temporal Self-Supervision for LiDAR Object Detection—0
A Point-Based Approach to Efficient LiDAR Multi-Task Perception—0
Center Feature Fusion: Selective Multi-Sensor Fusion of Center-based Objects—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