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 901–910 of 1576 papers

TitleStatusHype
Sample, Crop, Track: Self-Supervised Mobile 3D Object Detection for Urban Driving LiDAR—0
Self-supervised 3D Object Detection from Monocular Pseudo-LiDAR—0
Rethinking Dimensionality Reduction in Grid-based 3D Object Detection—0
LidarMultiNet: Towards a Unified Multi-Task Network for LiDAR Perception—0
A Dual-Cycled Cross-View Transformer Network for Unified Road Layout Estimation and 3D Object Detection in the Bird's-Eye-ViewCode1
FFPA-Net: Efficient Feature Fusion with Projection Awareness for 3D Object Detection—0
Viewer-Centred Surface Completion for Unsupervised Domain Adaptation in 3D Object DetectionCode1
CRAFT: Camera-Radar 3D Object Detection with Spatio-Contextual Fusion Transformer—0
CMR3D: Contextualized Multi-Stage Refinement for 3D Object Detection—0
CenterFormer: Center-based Transformer for 3D Object DetectionCode2
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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