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 1071–1080 of 1576 papers

TitleStatusHype
Multi-Camera Calibration Free BEV Representation for 3D Object Detection—0
Multi-Camera Multi-Object Tracking on the Move via Single-Stage Global Association Approach—0
Multi-Camera Multiple 3D Object Tracking on the Move for Autonomous Vehicles—0
Multi-Class 3D Object Detection Within Volumetric 3D Computed Tomography Baggage Security Screening Imagery—0
Multi-Class 3D Object Detection with Single-Class Supervision—0
Multi-Dimensional Pruning: Joint Channel, Layer and Block Pruning with Latency Constraint—0
Multi-Echo LiDAR for 3D Object Detection—0
Multi-Frame to Single-Frame: Knowledge Distillation for 3D Object Detection—0
BEVUDA: Multi-geometric Space Alignments for Domain Adaptive BEV 3D Object Detection—0
Multi-level and multi-modal feature fusion for accurate 3D object detection in Connected and Automated Vehicles—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