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

Showing 511520 of 1576 papers

TitleStatusHype
RTNH+: Enhanced 4D Radar Object Detection Network using Combined CFAR-based Two-level Preprocessing and Vertical Encoding0
MonoSKD: General Distillation Framework for Monocular 3D Object Detection via Spearman Correlation CoefficientCode1
Towards Generalizable Multi-Camera 3D Object Detection via Perspective DebiasingCode1
Multimodal Object Query Initialization for 3D Object Detection0
Open-CRB: Towards Open World Active Learning for 3D Object DetectionCode1
UniPAD: A Universal Pre-training Paradigm for Autonomous DrivingCode2
GraphAlign: Enhancing Accurate Feature Alignment by Graph matching for Multi-Modal 3D Object Detection0
PonderV2: Pave the Way for 3D Foundation Model with A Universal Pre-training ParadigmCode2
Dual Radar: A Multi-modal Dataset with Dual 4D Radar for Autonomous DrivingCode1
3DS-SLAM: A 3D Object Detection based Semantic SLAM towards Dynamic Indoor Environments0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1EA-LSSNDS0.78Unverified
2MMFusion-eNDS0.77Unverified
3MegFusionNDS0.77Unverified
4RacoonPowerNDS0.76Unverified
5BEVFusion-eNDS0.76Unverified
6DeepInteraction-largeNDS0.76Unverified
7DeepInteraction-eNDS0.76Unverified
8DAANDS0.75Unverified
9FusionVPENDS0.75Unverified
10CenterPoint-FusionNDS0.75Unverified